GLM-5 Integrations

OpenClaw is an open source autonomous personal AI assistant agent you run on your own computer, server, or VPS that goes beyond just generating text by actually performing real tasks you tell it to do in natural language through familiar chat platforms like WhatsApp, Telegram, Discord, Slack, and others. It connects to external large language models and services while prioritizing local-first execution and data control on your infrastructure so the agent can clear your inbox, send emails, manage your calendar, check you in for flights, interact with files, run scripts, and automate everyday workflows without needing predefined triggers or cloud-hosted assistants; it maintains persistent memory (remembering context across sessions) and can run continuously to proactively coordinate tasks and reminders. It supports integrations with messaging apps and community-built “skills,” letting users extend its capabilities and route different agents or tools through isolated workspaces.

OpenRouter is a unified interface for LLMs. OpenRouter scouts for the lowest prices and best latencies/throughputs across dozens of providers, and lets you choose how to prioritize them. No need to change your code when switching between models or providers. You can even let users choose and pay for their own. Evals are flawed; instead, compare models by how often they're used for different purposes. Chat with multiple at once in the chatroom. Model usage can be paid by users, developers, or both, and may shift in availability. You can also fetch models, prices, and limits via API. OpenRouter routes requests to the best available providers for your model, given your preferences. By default, requests are load-balanced across the top providers to maximize uptime, but you can customize how this works using the provider object in the request body. Prioritize providers that have not seen significant outages in the last 10 seconds.

Claude Code is an AI-powered coding agent designed to work directly inside your existing development environment. It goes beyond simple autocomplete by understanding entire codebases and helping developers build, debug, refactor, and ship features faster. Developers can interact with Claude Code from the terminal, IDEs, Slack, or the web, making it easy to stay in flow without switching tools. By describing tasks in natural language, users can let Claude handle code exploration, modifications, and explanations. Claude Code can analyze project structure, dependencies, and architecture to onboard developers quickly. It integrates with common command-line tools, version control systems, and testing workflows. This makes it a powerful companion for both individual developers and teams working on complex software projects.

Roo Code is an AI-powered software engineering platform designed to help developers build, debug, and ship code faster. It works directly inside your IDE through a VS Code extension or autonomously in the cloud using AI agents. Roo Code supports multiple AI models and providers, giving developers full flexibility and control. Role-based modes keep AI focused on specific tasks like coding, debugging, testing, or planning. The platform is open source, secure, and transparent by design. Developers can configure workflows to match their exact preferences. Roo Code fits seamlessly into modern development environments for both individuals and teams.

Kilo Code is a powerful open-source coding agent designed to help developers build, ship, and iterate faster across every stage of the software development workflow. It offers multiple modes—including Ask, Architect, Code, Debug, and Orchestrator—so developers can switch seamlessly between tasks with tailored AI support. The platform includes features such as hallucination-free code, automatic failure recovery, and deep context awareness to ensure accuracy and reliability. Developers can run parallel agents, enjoy fast autocomplete, and even deploy applications with a single click. With access to 500+ models and integration across terminals, VS Code, and JetBrains editors, Kilo provides unmatched flexibility. As the #1 agent on OpenRouter with over 750,000 users, it has quickly become a preferred choice for modern AI-assisted development.

Ollama is an innovative platform that focuses on providing AI-powered tools and services, designed to make it easier for users to interact with and build AI-driven applications. Run AI models locally. By offering a range of solutions, including natural language processing models and customizable AI features, Ollama empowers developers, businesses, and organizations to integrate advanced machine learning technologies into their workflows. With an emphasis on usability and accessibility, Ollama strives to simplify the process of working with AI, making it an appealing option for those looking to harness the potential of artificial intelligence in their projects.

Autonomous coding agent right in your IDE, capable of creating/editing files, running commands, using the browser, and more with your permission every step of the way. Cline can handle complex software development tasks step-by-step. With tools that let him create & edit files, explore large projects, use the browser, and execute terminal commands (after you grant permission), he can assist you in ways that go beyond code completion or tech support. While autonomous AI scripts traditionally run in sandboxed environments, this extension provides a human-in-the-loop GUI to approve every file change and terminal command, providing a safe and accessible way to explore the potential of agentic AI.

Qoder is an agentic coding platform engineered for real software development, designed to go far beyond typical code completion by combining enhanced context engineering with intelligent AI agents that deeply understand your project. It allows developers to delegate complex, asynchronous tasks using its Quest Mode, where agents work autonomously and return finished results, and to extend capabilities through Model Context Protocol (MCP) integrations with external tools and services. Qoder’s Memory system preserves coding style, project-specific guidance, and reusable context to ensure consistent, project-aware outputs over time. Developers can also interact via chat for guidance or code suggestions, maintain a Repo Wiki for knowledge consolidation, and control behavior through Rules to keep AI-generated work safe and guided. This blend of context-aware automation, agent delegation, and customizable AI behavior empowers teams to think deeper, code smarter, and build better.

Sup AI is a multi-LLM platform that merges outputs from several top large language models, such as GPT, Claude, Llama, and more, to generate richer, more accurate, and better-validated answers than any single model could provide. It applies real-time “logprob confidence scoring,” analyzing each token’s probability to detect uncertainty or hallucination; when a model’s confidence falls below a threshold, the response is halted, helping ensure that delivered answers remain high-quality and trustworthy. Sup’s “multi-model fusion” then compares, contrasts, and consolidates outputs from different models, cross-verifying and synthesizing the best parts into a final result. Sup also supports “multimodal RAG” (retrieval-augmented generation) to incorporate external data (text, PDFs, images) into context-aware responses, giving the AI access to factual sources and helping it “never forget” relevant information.

Yonoo is a browser-based AI smart-router and multi-AI workspace that lets users access and interact with eight frontier AI models, including GPT-5.2, Claude 4.5, Gemini 2.5, Grok, Perplexity, DeepSeek, Llama, and DALL-E, from a single conversation interface, so you can ask once and get rich outputs for writing, research, image creation, video generation, translation, planning, and more without switching engines or apps; it supports deep research, web search, file uploads, and creative tasks with weekly free quotas and options to unlock more with a free signup. Yonoo’s intelligent routing automatically selects the most appropriate AI for a given task while preserving chat history and saving users from managing multiple separate model accounts, reducing friction and streamlining workflows for exploration, content generation, learning, and ideation.

Dessix is an AI-enhanced thinking and knowledge workspace that helps users capture inspiration, organize scattered information, build shared context with AI, and create meaningful outputs from complex ideas by integrating note capture, dynamic context management, collaborative AI thinking, and content generation in one visual environment. Users start by capturing content, whether web pages, snippets, tweets, video frames, or quick thoughts, using the browser extension or web app, automatically generating summaries and keywords so material is quickly indexed and stored as discrete Blocks that reference source context. Dessix then organizes context visually in a multi-window, linear flow where what you see is exactly what the AI sees, enabling AI to truly understand your focus rather than relying on isolated prompts, and letting users cluster, fix, and link Blocks into a shared mental map that mirrors their reasoning process.

Zo Computer is an always-on AI companion designed to act like your own personal cloud computer. It works 24/7 to schedule meetings, clean your inbox, organize files, and run tasks while you’re away. Users can interact with Zo through its app or simply by texting it commands. Built on a powerful Linux server, Zo gives you full control to host files, build automations, and run projects effortlessly. It supports deep research, web browsing, reminders, and data organization in one unified environment. Zo combines AI, code, and compute into a single system you own. It’s built to help you get real work done, not just chat.

GLM-5-Turbo is a high-speed variant of Z.ai’s GLM-5 model, designed to deliver efficient and stable performance in agent-driven environments while maintaining strong reasoning and coding capabilities. It is optimized for high-throughput workloads, particularly long-chain agent tasks where multiple steps, tools, and decisions must be executed in sequence with reliability and low latency. It supports advanced agentic workflows, enabling systems to perform multi-step planning, tool calling, and task execution with improved responsiveness compared to larger flagship models. GLM-5-Turbo inherits core capabilities from the GLM-5 family, including strong reasoning, coding performance, and support for long-context processing, while focusing on optimization of core requirements such as speed, efficiency, and stability in production environments. It is designed to integrate with agent frameworks like OpenClaw, where it can coordinate actions, process inputs, and execute tasks.

Shiori is a multi-model AI chat platform designed to provide access to dozens of leading AI systems within a single unified interface, allowing users to switch seamlessly between models such as GPT, Claude, Gemini, Grok, and others during the same conversation. It combines conversational AI with a wide range of generation and productivity tools, enabling users to create text, images, videos, and speech outputs directly from one workspace. It supports over 45 AI models and integrate capabilities like document analysis, file uploads, web search, and code execution, allowing users to analyze PDFs, research topics, and generate content without switching tools. It emphasizes flexibility by letting users choose the most suitable model for each task, whether for coding, writing, or data analysis, while maintaining persistent memory and real-time synchronization across devices.

Claw Code is an open-source AI coding agent framework designed to replicate and expand upon modern AI-assisted development architectures. Built using a combination of Python and Rust, it delivers a modular and high-performance system for coding automation. The framework features a plugin-based tool system, allowing developers to execute tasks like file operations, shell commands, and web interactions with permission controls. Its core query engine manages LLM interactions, enabling intelligent code generation, analysis, and multi-step task execution. Claw Code supports multi-agent orchestration, allowing complex tasks to be broken down into parallel workflows. It is provider-agnostic, meaning it can integrate with multiple AI models rather than being limited to a single ecosystem. Overall, Claw Code offers developers a flexible, transparent, and customizable foundation for building advanced AI coding agents.

APIFree is a unified AI Model-as-a-Service platform that provides developers and enterprises with seamless access to multiple leading AI models through a single standardized API layer. It aggregates mainstream open-source and proprietary models across text, image, video, audio, and code, allowing teams to integrate multimodal AI capabilities without managing separate vendor accounts, SDKs, or billing systems. Built to reduce infrastructure complexity, APIFree offers an OpenAI-compatible endpoint so applications can connect quickly while maintaining flexibility to switch between providers as needed. It emphasizes broad model coverage, lower end-to-end latency, and high availability, enabling organizations to focus on product innovation rather than platform fragmentation. With unified authentication, quota management, usage analytics, and cost controls at the platform level, APIFree simplifies AI deployment workflows and improves operational efficiency.

Z.ai DevPack (GLM Coding Plan) is a subscription-based AI coding platform designed to integrate high-performance language models into existing development tools, enabling a faster, more intelligent, and stable coding workflow. It provides access to advanced models such as GLM-4.7 and GLM-5, which can be used across popular AI coding environments like Claude Code, Cline, OpenCode, and other tools that support OpenAI-compatible APIs. The system allows developers to use natural language programming to describe requirements and automatically generate code, debug issues, and execute tasks, while also offering real-time, context-aware code completion to improve productivity. It includes intelligent debugging and repair capabilities, enabling models to analyze errors, suggest fixes, and maintain smooth execution throughout development. DevPack is designed with a structured interface that AI agents can understand, allowing seamless interaction between tools and models.

Tabbit Browser is an AI-native web browser designed to combine browsing, search, automation, and AI assistance directly inside the browsing experience. Instead of treating AI as a separate chatbot, the browser integrates AI tools that understand the context of the pages, files, and tabs a user is working with, allowing them to interact with content more intelligently while browsing. Users can add references such as text, screenshots, web pages, or files as context so the AI can generate precise answers and insights related to what they are currently viewing. It also allows switching between multiple advanced AI models, including GPT, Gemini, Claude, and others, so users can choose the model best suited for a particular task or workflow. A central feature of Tabbit is its ability to chat directly with web content. Users can highlight text, capture screenshots, or reference pages and ask the browser to summarize, explain, or analyze the information without leaving the page.