Alternatives to Agent Payments Protocol (AP2)

Compare Agent Payments Protocol (AP2) alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Agent Payments Protocol (AP2) in 2026. Compare features, ratings, user reviews, pricing, and more from Agent Payments Protocol (AP2) competitors and alternatives in order to make an informed decision for your business.

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    agentgateway

    agentgateway

    LF Projects, LLC

    agentgateway is a unified gateway platform designed to secure, connect, and observe an organization’s entire AI ecosystem. It provides a single point of control for LLMs, AI agents, and agentic protocols such as MCP and A2A. Built from the ground up for AI-native connectivity, agentgateway supports workloads that traditional gateways cannot handle. The platform enables controlled LLM consumption with strong security, usage visibility, and budget governance. It offers full observability into agent-to-agent and agent-to-tool interactions. agentgateway is deeply invested in open source and is hosted by the Linux Foundation. It helps enterprises future-proof their AI infrastructure as agentic systems scale.
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    Universal Commerce Protocol (UCP)

    Universal Commerce Protocol (UCP)

    Universal Commerce Protocol (UCP)

    The UCP and AP2 documentation describes how the Universal Commerce Protocol (UCP) integrates with the Agent Payments Protocol (AP2) to support secure, verifiable transactions initiated by AI agents or platforms on behalf of users, making it possible for commerce systems to handle discovery, checkout, and payment without intermediaries. UCP is fully compatible with AP2, which acts as the trust layer for agent-led transactions by requiring a secure, cryptographically verifiable exchange of intent and authorization between platforms and businesses using Verifiable Digital Credentials (VDCs); this ensures businesses receive signed checkout commitments that can’t be altered mid-flow and platforms issue proofs of payment authorization tied specifically to a cart state, reducing fraud and making transactions final and authentic.
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    Model Context Protocol (MCP)
    Model Context Protocol (MCP) is an open protocol designed to standardize how applications provide context to large language models (LLMs). It acts as a universal connector, similar to a USB-C port, allowing LLMs to seamlessly integrate with various data sources and tools. MCP supports a client-server architecture, enabling programs (clients) to interact with lightweight servers that expose specific capabilities. With growing pre-built integrations and flexibility to switch between LLM vendors, MCP helps users build complex workflows and AI agents while ensuring secure data management within their infrastructure.
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    LangGraph

    LangGraph

    LangChain

    Gain precision and control with LangGraph to build agents that reliably handle complex tasks. Build and scale agentic applications with LangGraph Platform. LangGraph's flexible framework supports diverse control flows – single agent, multi-agent, hierarchical, sequential – and robustly handles realistic, complex scenarios. Ensure reliability with easy-to-add moderation and quality loops that prevent agents from veering off course. Use LangGraph Platform to templatize your cognitive architecture so that tools, prompts, and models are easily configurable with LangGraph Platform Assistants. With built-in statefulness, LangGraph agents seamlessly collaborate with humans by writing drafts for review and awaiting approval before acting. Easily inspect the agent’s actions and "time-travel" to roll back and take a different action to correct course.
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    Flowise

    Flowise

    Flowise AI

    Flowise is an open-source platform that enables developers and teams to build AI agents and LLM-powered applications through a visual interface. The platform provides modular building blocks that allow users to create everything from simple chatbot workflows to complex multi-agent systems. With its drag-and-drop design environment, developers can rapidly prototype and deploy AI-powered applications without extensive coding. Flowise supports integrations with more than 100 large language models, embeddings, and vector databases. It also includes features such as human-in-the-loop workflows, observability tools, and execution tracing for monitoring agent behavior. Developers can extend applications through APIs, SDKs, and embedded chat interfaces using TypeScript or Python. By combining visual development tools with scalable infrastructure, Flowise simplifies the process of building and deploying production-ready AI agents.
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    AgentShield

    AgentShield

    AgentShield

    AgentShield is a next-generation identity platform built to verify both human users and AI agents acting on their behalf. It enables organizations to confirm who an agent is, whether the person behind the agent has provided explicit authority, and that the agent is trustworthy, all through APIs and JavaScript integrations. The product includes tools that detect agentic sessions on a website. and enforces identity and permission checks for agent-to-agent or agent-to-service interactions under the open Model Context Protocol Identity (MCP-I) specification. With KYA, businesses can securely manage agent identities and permissions, institute audit-trails, automation workflows, and finely-tuned access control for autonomous systems, thereby protecting themselves from misuse of digital identities and ensuring transparency when AI systems act on behalf of users.
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    XHawk

    XHawk

    XHawk

    XHawk is an AI-native developer platform designed to transform scattered code, documentation, and team knowledge into a unified, searchable system of context. It captures every coding session, commit, and decision, automatically organizing them into a living knowledge graph that evolves with the codebase. It converts code changes and development activity into structured, indexed documentation, ensuring that knowledge stays synchronized with every pull request and eliminating gaps between code and documentation. It provides a shared context layer that enables both humans and AI coding agents to plan, code, review, test, and operate systems with a consistent understanding, reducing hallucinations caused by missing context. XHawk includes features such as session intelligence, where every git commit syncs session history and agent reasoning, creating a permanent, searchable record of how software is built.
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    LangChain

    LangChain

    LangChain

    LangChain is a powerful, composable framework designed for building, running, and managing applications powered by large language models (LLMs). It offers an array of tools for creating context-aware, reasoning applications, allowing businesses to leverage their own data and APIs to enhance functionality. LangChain’s suite includes LangGraph for orchestrating agent-driven workflows, and LangSmith for agent observability and performance management. Whether you're building prototypes or scaling full applications, LangChain offers the flexibility and tools needed to optimize the LLM lifecycle, with seamless integrations and fault-tolerant scalability.
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    Virtuals Protocol
    Virtuals Protocol is a decentralized platform that enables users to create, co-own, and interact with AI agents. These agents are categorized into IP agents, which represent specific intellectual properties, and functional agents, designed for particular tasks. The platform introduces an Initial Agent Offering (IAO) mechanism, allowing for co-ownership and governance of these agents through agent SubDAOs. Users can contribute to various aspects of agent development, including cognitive, voice, and visual components, ensuring a collaborative and modular approach. The protocol emphasizes permissionless utilization, enabling seamless integration of virtual agents across diverse applications. Developers are provided with comprehensive documentation, including guides on launching agent tokens, contributing to various cores, and understanding the GAME framework. The protocol's vision is to foster a revenue-generating ecosystem through decentralized contribution and co-ownership.
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    OpenAgents

    OpenAgents

    OpenAgents

    OpenAgents is an open source framework and platform for building, connecting, and deploying networks of AI agents that can discover, communicate, collaborate, and solve problems together rather than operating in isolation, enabling developers to launch and join agent communities that work at scale and share resources seamlessly. It provides infrastructure for AI agent networks where each network acts as a self-contained community with peer discovery, message passing, and coordinated collaboration over flexible protocols such as HTTP, WebSocket, and gRPC, and is designed to be protocol-agnostic and compatible with popular large language model providers and agent frameworks to support diverse deployment scenarios. Users can build their own agents with simple configurations or integrate custom logic and tools, connect them to one or more networks, and manage interactions using OpenAgents’ standard interfaces.
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    Semantic Kernel
    Semantic Kernel is a lightweight, open-source development kit that lets you easily build AI agents and integrate the latest AI models into your C#, Python, or Java codebase. It serves as an efficient middleware that enables rapid delivery of enterprise-grade solutions. Microsoft and other Fortune 500 companies are already leveraging Semantic Kernel because it’s flexible, modular, and observable. Backed with security-enhancing capabilities like telemetry support, hooks, and filters you’ll feel confident you’re delivering responsible AI solutions at scale. Version 1.0+ support across C#, Python, and Java means it’s reliable, and committed to nonbreaking changes. Any existing chat-based APIs are easily expanded to support additional modalities like voice and video. Semantic Kernel was designed to be future-proof, easily connecting your code to the latest AI models evolving with the technology as it advances.
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    PromptLayer

    PromptLayer

    PromptLayer

    The first platform built for prompt engineers. Log OpenAI requests, search usage history, track performance, and visually manage prompt templates. manage Never forget that one good prompt. GPT in prod, done right. Trusted by over 1,000 engineers to version prompts and monitor API usage. Start using your prompts in production. To get started, create an account by clicking “log in” on PromptLayer. Once logged in, click the button to create an API key and save this in a secure location. After making your first few requests, you should be able to see them in the PromptLayer dashboard! You can use PromptLayer with LangChain. LangChain is a popular Python library aimed at assisting in the development of LLM applications. It provides a lot of helpful features like chains, agents, and memory. Right now, the primary way to access PromptLayer is through our Python wrapper library that can be installed with pip.
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    Agent2Agent (A2A)
    Agent2Agent (A2A) is a protocol developed by Google to enable seamless communication between AI agents. It facilitates the transfer of knowledge and tasks between different AI systems, allowing them to collaborate and execute complex workflows. A2A aims to enhance interoperability between AI agents, enabling more sophisticated, multi-agent systems that can perform tasks autonomously across various platforms and services.
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    Nia

    Nia

    Nozomio

    Nia is a collaborative AI developer designed to enhance your coding workflow by providing a comprehensive understanding of your codebase, facilitating the creation of custom applications, and streamlining development processes. It offers advanced semantic file search capabilities, enabling you to locate the right files promptly. With seamless integration into platforms like Slack, Nia simplifies onboarding and accelerates decision-making by delivering quick access to essential information. The Nia API allows for the incorporation of its powerful AI functionalities into your applications, facilitating codebase analysis and leveraging advanced code comprehension through a straightforward API. Additionally, the forthcoming Nia Agent aims to further expedite development by executing coding tasks at a level comparable to a junior software engineer. Currently in beta, Nia is available for free, inviting developers to experience its capabilities firsthand.
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    Visa Intelligent Commerce
    Visa Intelligent Commerce is an AI-driven commerce infrastructure that enables intelligent agents to securely discover, recommend, and complete purchases on behalf of consumers within the Visa network. It provides end-to-end capabilities that support personalized shopping experiences while embedding secure payment functionality directly into AI-powered environments. It provisions agent-specific payment tokens and lifecycle management tools so authorized AI agents can transact safely according to user-defined permissions and controls. It is designed to accelerate AI commerce by combining Visa’s global payment reach with built-in protections against fraud, disputes, and unauthorized activity, helping merchants deliver seamless and trustworthy transactions. Through integrated APIs and secure infrastructure, developers can embed Visa payment credentials into AI applications, enabling autonomous agents to search, shop, and pay while maintaining transparency.
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    OpenServ

    OpenServ

    OpenServ

    OpenServ is an applied AI research lab building the infrastructure for autonomous agents. Our next-generation multi-agent orchestration platform combines proprietary AI frameworks and protocols with supreme user simplicity. Automate complex tasks across Web3, DeFAI, and Web2. We’re accelerating the agentic field through numerous academic partnerships, in-house research, and community-focused research initiatives. See the whitepaper detailing the architecture of OpenServ. Seamless developer experience and agent development with our SDK. Receive early access to our platform, white-glove support, and an opportunity to shape the future.
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    AQtive Guard

    AQtive Guard

    SandboxAQ

    AQtive Guard is a cybersecurity platform that helps organizations secure and manage cryptographic assets and non-human identities (NHIs) such as AI agents, keys, certificates, algorithms, and machine identities across their entire IT environment. It delivers continuous discovery and real-time visibility into NHIs and cryptography, integrating with existing security tools, cloud providers, and repositories to provide a unified view of security posture. Using advanced AI and large quantitative models, the platform analyzes vulnerabilities, prioritizes risks, and offers actionable insights with automated remediation workflows to fix issues and enforce policies such as credential rotation or certificate renewal. AQtive Guard supports compliance with evolving standards, including new NIST cryptographic protocols, and enables lifecycle management of cryptographic assets to reduce risk from current and future threats.
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    PayOS

    PayOS

    PayOS

    PayOS is a payment infrastructure platform built specifically for the “agentic” economy, where AI agents and autonomous workflows complete commerce tasks. The system is designed as a card-native solution that enables developers and businesses to embed checkout, billing, and money movement into agentic workflows, supporting all major card networks and offering processor flexibility. It allows a card to be linked once and then used across agent-driven scenarios, while still providing human-in-the-loop controls, strong security (PCI-compliant), and full global network access. PayOS enables both push and pull payments, recurring billing, and autonomous money flows without the need for merchant re-integration. It supports tokenization and collaborations with networks like Mastercard and Visa Intelligent Commerce to open up agentic payment use cases at scale.
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    AgentPass.ai

    AgentPass.ai

    AgentPass.ai

    AgentPass.ai is a secure platform designed to facilitate the deployment of AI agents in enterprise environments by providing production-ready Model Context Protocol (MCP) servers. It allows users to set up fully hosted MCP servers without the need for coding, incorporating built-in features such as user authentication, authorization, and access control. Developers can convert OpenAPI specifications into MCP-compatible tool definitions, enabling the management of complex API ecosystems through nested structures. AgentPass.ai also offers observability features like analytics, audit logs, and performance monitoring, and supports multi-tenant architecture for managing multiple environments. By utilizing AgentPass.ai, organizations can safely scale AI automation while maintaining centralized oversight and compliance across their AI agent deployments.
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    kagent

    kagent

    kagent

    kagent is an open source, cloud-native AI agent framework designed to let teams build, deploy, and run autonomous AI agents directly inside Kubernetes clusters to automate complex operational tasks, troubleshoot cloud-native systems, and manage workloads without constant human intervention. It enables DevOps and platform engineers to create intelligent agents that understand natural language, plan, reason, and execute multi-step actions across Kubernetes environments using built-in tools and Model Context Protocol (MCP)-compatible tool integrations for functions like querying metrics, displaying pod logs, managing resources, and interacting with service meshes. It supports multiple model providers (such as OpenAI, Anthropic, and others), agent-to-agent communication for orchestrating sophisticated workflows, and observability features that help teams monitor agent behavior and performance.
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    Blue Check

    Blue Check

    Blue Check

    Blue Check is an advanced Trust-as-a-Service platform meticulously designed to facilitate and optimize verifications across four critical domains: Employment and Income, Academic Credentials, Financial Status, and Social Media Reputation. Utilizing State-of-the-Art AI and Cryptographic technologies, Blue Check ensures that these verifications are conducted with unparalleled efficiency, security, and affordability, delivering verification services at a cost of less than $1 per verification. Reclaim Protocol is the technology; Blue Check is the solution—a comprehensive verification stack for credential verification. BlueCheck goes beyond zkTLS, utilizing cutting-edge AI, agentic workflows, fine-tuned models, and cryptographic tools like zkTLS, zkEmail, and zkVMs. Both humans and AI need tools to verify information for high-stakes decisions. That’s what Blue Check delivers: a suite of ready-to-integrate verification tools coming soon to power your product.
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    Obot MCP Gateway
    Obot is an open-source AI infrastructure platform and Model Context Protocol (MCP) gateway that gives organizations a centralized control plane for discovering, onboarding, managing, securing, and scaling MCP servers, services that connect large language models and AI agents to enterprise systems, tools, and data. It bundles an MCP gateway, catalog, admin console, and optional built-in chat interface into a modern interface that integrates with identity providers (e.g., Okta, Google, GitHub) to enforce access control, authentication, and governance policies across MCP endpoints, ensuring secure, compliant AI interactions. Obot lets IT teams host local or remote MCP servers, proxy access through a secure gateway, define fine-grained user permissions, log and audit usage, and generate connection URLs for LLM clients such as Claude Desktop, Cursor, VS Code, or custom agents.
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    Golden

    Golden

    Golden

    The world is lacking a decentralized graph of canonical knowledge that is open, free, and permissionless, and incentivizes agents to enter data into the graph. Our vision is to create a protocol that maps the 10 billion entities that exist and the public knowledge that surrounds them. Triples, also known as fact triples or SPO triples, are the elemental building blocks of facts that link entities together forming a graph. They are the atoms that build the universe of knowledge as we know it. The protocol supports a rich set of triples types, qualifiers, and associated evidence. The triple graph can be used to power Dapps and services that require fundamental knowledge. Each agent can submit triples to be validated, and, if accepted, will be rewarded tokens. Validators and predictions from the knowledge graph itself decide if triples are accepted. In essence, the protocol incentivizes the knowledge graph construction while defending against gaming attacks.
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    Warden

    Warden

    Warden

    Warden Protocol is a full-stack, intent-centric Layer-1 blockchain built on the Cosmos SDK that enables developers and users to build, interact with, and govern AI-powered decentralized applications (dApps), autonomous AI agents, and intelligent workflows that operate across blockchain networks with cryptographic verification and interoperability. It aims to bridge artificial intelligence with blockchain by providing infrastructure for verifiable AI execution on-chain, supporting smart contracts that incorporate safe, provably correct AI model outputs and intent-based transactions, while preserving decentralized trust and composability across networks. At its core, Warden introduces the concept of Intents, which represent users’ transaction objectives interpreted and enforced on-chain, enabling complex multi-step actions such as cross-chain operations, automated trades, and agent-driven logic without rigid predefined policy constraints.
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    AgentWorks

    AgentWorks

    Synergetics.ai

    AgentWorks is a comprehensive suite designed to enable autonomous AI agents to operate across enterprise boundaries, interact securely, and conduct transactions independently. It brings together core components including Agent ID, which provides identity, verification, authentication and authorization for AI agents; AgentRegistry, which supports registration, discovery and Know-Your-Agent (KYA) verification; AgentTalk, a patented protocol for secure agent-to-agent communication and transactions; AgentConnect, enabling agents to connect to websites, metaverses and digital ecosystems; AgentWallet, a wallet infrastructure where agents can store their Agent ID, digital assets and currencies (available both as a mobile wallet for human owners and an embedded wallet managed by agents themselves); and AgentWizard, a tool for assigning unique Agent IDs, registering agents and provisioning wallets. AgentWorks supports agent-to-agent transactions in real-world use cases.
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    Upsonic

    Upsonic

    Upsonic

    Upsonic is an open source framework that simplifies AI agent development for business needs. It enables developers to build, manage, and deploy agents with integrated Model Context Protocol (MCP) tools across cloud and local environments. Upsonic reduces engineering effort by 60-70% with built-in reliability features and service client architecture. It offers a client-server architecture that isolates agent applications, keeping existing systems healthy and stateless. It provides more reliable agents, scalability, and a task-oriented structure needed for completing real-world cases. Upsonic supports autonomous agent characterization, allowing self-defined goals and backgrounds, and integrates computer-use capabilities for executing human-like tasks. With direct LLM call support, developers can access models without abstraction layers, completing agent tasks faster and more cost-effectively.
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    Prefect Horizon
    Prefect Horizon is a managed AI infrastructure platform within the broader Prefect product suite that lets teams deploy, govern, and operate Model Context Protocol (MCP) servers and AI agents at enterprise scale with production-ready features such as managed hosting, authentication, access control, observability, and tool governance. It builds on the FastMCP framework to turn MCP from just a protocol into a platform with four core integrated pillars, Deploy (host and scale MCP servers quickly with CI/CD and monitoring), Registry (a centralized catalog of first-party, third-party, and curated MCP endpoints), Gateway (role-based access control, authentication, and audit logs for secure, governed access to tools), and Agents (permissioned, user-friendly agent interfaces that can be deployed in Horizon, Slack, or exposed over MCP so business users can interact with context-aware AI without needing MCP technical knowledge).
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    Peta

    Peta

    Peta

    Peta is an enterprise-grade control plane for the Model Context Protocol (MCP) that centralizes, secures, governs, and monitors how AI clients and agents access external tools, data, and APIs. It combines a zero-trust MCP gateway, secure vault, managed runtime, policy engine, human-in-the-loop approvals, and full audit logging into a single platform so organizations can enforce fine-grained access control, hide raw credentials, and track every tool call made by AI systems. Peta Core acts as a secure vault and gateway that encrypts credentials, issues short-lived service tokens, validates identity and policies on each request, orchestrates MCP server lifecycle with lazy loading and auto-recovery, and injects credentials at runtime without exposing them to agents. The Peta Console lets teams define who or which agents can access specific MCP tools in specific environments, set approval requirements, manage tokens, and analyze usage and costs.
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    Metorial

    Metorial

    Metorial

    Metorial is an open source, developer-centric integration platform that streamlines the creation, deployment, monitoring, and scaling of agentic AI applications by connecting models to tools, data, and APIs via the Model Context Protocol. With a catalog of over 600 verified MCP “servers,” developers can give their agents capabilities like interacting with Slack, Google Calendar, Notion, APIs, databases, or other systems in just a few clicks or one API call. Metorial’s infrastructure is serverless and built for scale, deploying MCP servers in three clicks or an API call, supporting “zero to millions” of requests, and offering out-of-the-box observability including detailed logging, tracing, session replay, and error alerts. A full set of SDKs (Python, TypeScript) is provided, and every interaction is traceable so teams can audit and optimize agent behaviour. Whether self-hosted or cloud-powered, Metorial offers enterprise-grade security and multi-tenant support.
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    Microsoft Foundry Agent Service
    Microsoft Foundry Agent Service is a secure, enterprise-ready platform for designing, deploying, and orchestrating AI agents at scale. It gives teams a streamlined interface and toolset to automate complex workflows using multi-agent systems. Developers can build with hosted agents, custom code, or agent frameworks while taking advantage of Azure’s reliability, scalability, and integrated observability. Built-in tools, enterprise connectors, and Model Context Protocol support make it easy for agents to interact with business systems and organizational data. Security, access governance, and compliance are embedded throughout, allowing companies to maintain full control while deploying intelligent automation across critical processes. With one-click deployment to Microsoft 365 experiences, Foundry Agent Service accelerates how organizations operationalize AI in everyday work.
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    HeyAI

    HeyAI

    HeyAI

    HeyAI's agent platform is designed to scale with your business, adapting to your evolving needs and growing alongside you. Our agent platform is highly customizable, empowering us to tailor agents to your unique business requirements. This flexibility enables you to scale your operations efficiently and cost-effectively, without the need to hire and train additional staff. Ensuring data privacy and security is paramount at HeyAI. We partner with leading cloud providers like Microsoft to offer private instances of Large Language Models (LLMs), guaranteeing the highest standards of data security and confidentiality. Our approach includes stringent data protection protocols and compliance with global data privacy laws. We never send your private data to OpenAI or any other third-party service provider external to your dedicated cloud space.
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    Webrix MCP Gateway
    Webrix MCP Gateway is an enterprise AI adoption infrastructure that enables organizations to securely connect AI agents (Claude, ChatGPT, Cursor, n8n) to internal tools and systems at scale. Built on the Model Context Protocol standard, Webrix provides a single secure gateway that eliminates the #1 blocker to AI adoption: security concerns around tool access. Key capabilities: - Centralized SSO & RBAC - Connect employees to approved tools instantly without IT tickets - Universal agent support - Works with any MCP-compliant AI agent - Enterprise security - Audit logs, credential management, and policy enforcement - Self-service enablement - Employees access internal tools (Jira, GitHub, databases, APIs) through their preferred AI agents without manual configuration Webrix solves the critical challenge of AI adoption: giving your team the AI tools they need while maintaining security, visibility, and governance. Deploy on-premise, in your cloud, or use our managed service
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    Mistral Agents API
    Mistral AI has introduced its Agents API, a significant advancement aimed at enhancing the capabilities of AI by addressing the limitations of traditional language models in performing actions and maintaining context. This new API integrates Mistral's powerful language models with several key features, built-in connectors for code execution, web search, image generation, and Model Context Protocol (MCP) tools; persistent memory across conversations; and agentic orchestration capabilities. The Agents API complements Mistral's Chat Completion API by providing a dedicated framework that simplifies the implementation of agentic use cases, serving as the backbone of enterprise-grade agentic platforms. It enables developers to build AI agents capable of handling complex tasks, maintaining context, and coordinating multiple actions, thereby making AI more practical and impactful for enterprises.
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    Tobira

    Tobira

    Tobira

    Tobira is an AI agent networking platform that enables autonomous agents to discover, communicate, and collaborate with one another through a shared infrastructure designed for structured interaction and task execution. It introduces a system where agents can have unique addresses, similar to email, allowing them to be identified, contacted, and coordinated across different workflows and environments. It includes a public or semi-public memory layer that agents can use to store and expose relevant information, enabling better context sharing and more intelligent interactions between agents. Tobira functions as a matchmaking and discovery layer, surfacing relevant agents, opportunities, or tasks based on structured data and defined capabilities, effectively connecting demand with execution in an automated way. By acting as a communication protocol and coordination layer, it allows agents to operate beyond isolated tasks, forming networks that can collaborate and exchange data.
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    Glama

    Glama

    Glama

    Glama.ai is a comprehensive AI workspace and integration platform that offers a unified interface to leading LLM providers, including OpenAI, Anthropic, and others. It supports the Model Context Protocol (MCP) ecosystem, enabling developers and enterprises to easily build, manage, and connect MCP-compatible services with AI agents such as Claude and GPT-4.
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    Gram

    Gram

    Speakeasy

    Gram is an open source platform that enables developers to create, curate, and host Model Context Protocol (MCP) servers effortlessly, by transforming REST APIs (via OpenAPI specs) into AI-agent-ready tools without code changes. It guides users through a workflow: generating default tooling from API endpoints, scoping down to relevant tools, composing higher-order custom tools by chaining multiple calls, enriching tools with contextual prompts and metadata, and instantly testing within an interactive playground. With built-in support for OAuth 2.1 (including Dynamic Client Registration or user-authored flows), it ensures secure agent access. Once ready, these tools can be hosted as production-grade MCP servers, complete with centralized management, role-based access, audit logs, and compliance-ready infrastructure, including Cloudflare edge deployment and DXT-packaged installers for easy distribution.
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    Noesent

    Noesent

    Noesent

    Noesent is a multi-agent AI platform that automates critical fintech operations such as payment routing, reconciliation, support, and fraud detection. It replaces manual workflows with intelligent agents specialized in specific tasks—like Camilla for transaction verification and Monica for invoice matching—helping teams save hours daily. The system integrates securely with your existing stack and complies with top industry security standards, including ISO 27001 and 9001. Noesent’s agents work together on a centralized platform to accelerate workflows and reduce operational backlogs by up to 70%. With early access to new AI agents and direct support from founders, it delivers fast, measurable ROI. Noesent is trusted by fintechs, payment service providers, and banks worldwide.
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    Skyfire

    Skyfire

    Skyfire

    Sell your product and service to a whole new customer base with AI agents. Design your pricing model and automate sales using Skyfire. Use the Skyfire SDK to enable your agent to discover and pay for services, data, and infrastructure. Automate payments for your use case according to your specific business rules and logic. Make your product, services, and data available for purchase to the fastest-growing new user group: AI Agents. Integrate Skyfire’s SDK in less than 10 minutes. Create an identity for your agent for authentication and payments. Establish your agent’s identity by getting verified and building its trust score through good transactions. Identity plays a critical role as we build Skyfire’s trusted network of agents. Our developer portal contains documentation on how to integrate and a dashboard for payment monitoring, and administration of details/API keys.
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    Halliday

    Halliday

    Halliday

    Halliday is a breakthrough workflow protocol that simplifies the development of decentralized applications by automating complex blockchain interactions. With Halliday, developers can quickly create and deploy cross-chain applications without writing smart contracts from scratch. The protocol handles everything from reliability and gas management to deployment operations, offering a more streamlined experience for users and developers. Key features include multichain support, AI-powered agent workflows, and a comprehensive ecosystem designed to accelerate blockchain adoption in various industries.
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    Supersonic

    Supersonic

    Supersonic

    Supersonic is a terminal-first, AI-native CRM designed specifically for agentic workflows, where AI agents handle core customer relationship management tasks instead of human operators. It is built around the Model Context Protocol (MCP), exposing every CRM action as a structured tool that AI systems like Claude, Cursor, or Codex can directly use to manage data and execute operations. It provides a unified pipeline through which all actions flow, giving AI agents the same capabilities as a traditional user interface, including data entry, lead qualification, deal updates, and follow-ups. With a system composed of 91 tools across 17 categories, Supersonic enables agents to interact with the CRM in a consistent, predictable way, reducing errors and improving automation reliability. It eliminates manual input by allowing agents to autonomously update records, trigger workflows, and maintain customer data in real time.
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    OpenFang

    OpenFang

    OpenFang

    OpenFang is an open source Agent Operating System built in Rust that provides a unified runtime for building, deploying, and managing autonomous AI agents at production scale. It packages a batteries-included architecture into a single binary, enabling developers to run agents that operate continuously, build knowledge graphs, and report results to a centralized dashboard without constant user prompts. At the core of OpenFang are “Hands,” pre-built autonomous capability packages that execute on schedules and perform tasks such as lead generation, research, browser automation, and social management. It includes dozens of pre-built agents, native tools, and channel adapters that allow agents to function across platforms like Slack, WhatsApp, Discord, and Teams from a single environment. Security is built into the foundation through multiple defense layers such as WASM sandboxing, cryptographic signing, taint tracking, and tamper-evident audit trails.
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    Airweave

    Airweave

    Airweave

    Airweave is an open source platform that transforms application data into agent-ready knowledge, enabling AI agents to semantically search across various apps, databases, and document stores. It simplifies the process of building intelligent agents by offering no-code solutions, instant data synchronization, and scalable deployment options. Users can connect their data sources using OAuth2, API keys, or database credentials, initiate data synchronization with minimal configuration, and provide agents with a unified search endpoint to access the necessary information. Airweave supports over 100 connectors, including integrations with Google Drive, Slack, Notion, Jira, GitHub, and Salesforce, allowing agents to access a wide range of data sources. It handles the entire data pipeline, from authentication and extraction to embedding and serving, automating tasks such as data ingestion, enrichment, mapping, and syncing to vector stores and graph databases.
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    Outtake

    Outtake

    Outtake

    Outtake is an AI-powered cybersecurity platform that uses always-on, agentic AI agents to secure an organization’s digital presence by continuously scanning and defending against modern threats like brand impersonation, phishing, fake domains, fraudulent ads, and spoofed apps across the open web, social platforms, forums, and media at internet scale. Its autonomous agents analyze text, images, video, and audio in real time to detect coordinated attacks, correlate related malicious activity across formats and surfaces, and prioritize and execute remediation steps faster than traditional, manual processes, shrinking takedown timelines from weeks to hours while reducing analyst workload. It includes open source intelligence for narrative and risk monitoring, digital risk protection that maps and dismantles interconnected threat networks, and Outtake Verify, a browser extension that cryptographically authenticates email sender identity to prove who actually sent a message.
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    A2UI

    A2UI

    A2UI

    A2UI is a declarative UI protocol designed to enable AI agents to generate rich, interactive user interfaces that render natively across web, mobile, and desktop environments without executing arbitrary code. Instead of relying on text-only interactions or unsafe approaches like sending HTML or JavaScript, A2UI allows agents to communicate UI intent through structured JSON messages that describe components, layouts, and data bindings, which client applications then render using their own trusted, pre-approved components. This approach separates UI generation from UI execution, ensuring that interfaces are secure, consistent with the host application’s design system, and adaptable across platforms. It is designed to be LLM-friendly, using a flat, streaming JSON structure that allows agents to incrementally build and update interfaces in real time, enabling progressive rendering and responsive user experiences.
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    OpenSSH

    OpenSSH

    OpenSSH

    OpenSSH is the premier connectivity tool for remote login with the SSH protocol. It encrypts all traffic to eliminate eavesdropping, connection hijacking, and other attacks. In addition, OpenSSH provides a large suite of secure tunneling capabilities, several authentication methods, and sophisticated configuration options. Remote operations are done using ssh, scp, and sftp. Key management with ssh-add, ssh-keysign, ssh-keyscan, and ssh-keygen. The service side consists of sshd, sftp-server, and ssh-agent. OpenSSH is developed by a few developers of the OpenBSD project and made available under a BSD-style license. OpenSSH is incorporated into many commercial products, but very few of those companies assist OpenSSH with funding. Contributions towards OpenSSH can be sent to the OpenBSD Foundation. Since telnet and rlogin are insecure, all operating systems should ship with support for the SSH protocol included. The SSH protocol is available in two incompatible varieties, SSH 1 and SSH 2.
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    Gentoro

    Gentoro

    Gentoro

    Gentoro is a platform built to empower enterprises to adopt agentic automation by bridging AI agents with real-world systems securely and at scale. It uses the Model Context Protocol (MCP) as its foundation, allowing developers to automatically convert OpenAPI specs or backend endpoints into production-ready MCP Tools, without writing custom integration code. Gentoro takes care of runtime concerns like logging, retries, monitoring, and cost optimization, while enforcing secure access, auditability, and governance policies (e.g., OAuth support, policy enforcement) whether deployed in a private cloud or on-premises. It is model- and framework-agnostic, meaning it supports integration with various LLMs and agent architectures. Gentoro helps avoid vendor lock-in and simplifies tool orchestration in enterprise environments by managing tool generation, runtime, security, and maintenance in one stack.
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    Koog

    Koog

    JetBrains

    Koog is a Kotlin‑based framework for building and running AI agents entirely in idiomatic Kotlin, supporting both single‑run agents that process individual inputs and complex workflow agents with custom strategies and configurations. It features pure Kotlin implementation, seamless Model Control Protocol (MCP) integration for enhanced model management, vector embeddings for semantic search, and a flexible system for creating and extending tools that access external systems and APIs. Ready‑to‑use components address common AI engineering challenges, while intelligent history compression optimizes token usage and preserves context. A powerful streaming API enables real‑time response processing and parallel tool calls. Persistent memory allows agents to retain knowledge across sessions and between agents, and comprehensive tracing facilities provide detailed debugging and monitoring.
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    BrowserOS

    BrowserOS

    BrowserOS

    BrowserOS is an open source, agent-enabled browser built on a Chromium fork that brings AI agents directly into your web environment, letting you automate tasks, navigate, and interact with web apps simply by using natural language. You log into sites as usual, and with plain-English instructions like “scrape the quarterly results from this page and update a spreadsheet,” BrowserOS generates and runs a repeatable agent locally, handling clicks, form-fills, and navigation chores for you. It features built-in split-view access to major large-language-models such as ChatGPT, Claude, or Gemini, supports local model execution via platforms like Ollama, and ensures full compatibility with Chrome extensions and your existing bookmarks and passwords. With semantic search across browser history and bookmarks, highlighter tools, and the ability to install MCP (Model-Context-Protocol) servers for Gmail, Calendar, Docs, and Notion, the browser becomes a productivity hub.
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    Boost.space

    Boost.space

    Boost.space

    Boost.space is a no-code agentic database designed to give AI agents and automations the structured business context they need to operate effectively. It centralizes scattered data from CRM, ecommerce, billing, and support systems into a unified Single Source of Truth. The platform enables continuous two-way synchronization across tools, ensuring that information remains accurate and up to date. With built-in AI enrichment, users can classify records, normalize attributes, and generate structured metadata at scale. Boost.space also supports workflow automation through integrations with platforms like Make, Zapier, and n8n. Through its Model Context Protocol (MCP), AI agents can query live data and execute actions across connected systems without relying on static exports. Trusted by thousands of teams globally, Boost.space transforms fragmented datasets into actionable AI-ready infrastructure.
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    ToolSDK.ai

    ToolSDK.ai

    ToolSDK.ai

    ToolSDK.ai is a free TypeScript SDK and marketplace that accelerates building agentic AI applications by providing instant access to over 5,300+ MCP (Model Context Protocol) servers and composable tools with one line of code, enabling developers to wire up real-world workflows combining language models with external systems. The platform exposes a unified client for loading packaged MCP servers (e.g., search, email, CRM, task management, storage, analytics) and converting them into OpenAI-compatible tools, handling authentication, invocation, and result orchestration so assistants can call, compare, and act on live data from services like Gmail, Salesforce, Google Drive, ClickUp, Notion, Slack, GitHub, analytics platforms, and custom web search or automation endpoints. It includes example quick-start integrations, supports metadata and conditional logic in multi-step orchestrations, and makes scaling to parallel agents and complex pipelines straightforward.