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Framework d'agents IA

Classement mis à jour le 30 juin 2026

For framework TypeScript pour construire des agents IA, the strongest matches are leon-ai/leon (Leon is a TypeScript framework for building personal AI), langchain-ai/langchainjs (LangChain) and affaan-m/everything-claude-code (Everything Claude Code is an agentic framework for orchestrating). microsoft/autogen and foundationagents/metagpt round out the shortlist. Each is ranked by relevance to your query, popularity and recent activity.

Nous sélectionnons les dépôts GitHub open-source correspondant à « agent skills typescript ». Les résultats sont classés par pertinence par rapport à votre recherche — utilisez les filtres ci-dessous pour affiner, ou utilisez l'IA.

Framework d'agents IA

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • leon-ai/leonAvatar de leon-ai

    leon-ai/leon

    17,319Voir sur GitHub↗

    Leon is a framework for building personal AI assistants that integrates large language models with local tool execution and persistent memory. It functions as an agentic workflow orchestrator and modular skill engine, enabling the creation of autonomous assistants capable of planning and executing multi-step tasks. The system features a retrieval-augmented generation memory architecture that indexes conversation history and user facts for context-aware grounding. It utilizes a modular skill system to interact with external binaries and APIs, supported by a loop that handles tool calling, sche

    Leon is a TypeScript framework for building personal AI assistants that features a modular skill engine, tool/function calling, and LLM integration, making it a comprehensive and well-aligned answer for an AI agent framework with a plugin system.

    TypeScriptModular Agent Skill Executions
    Voir sur GitHub↗17,319
  • langchain-ai/langchainjsAvatar de langchain-ai

    langchain-ai/langchainjs

    17,818Voir sur GitHub↗

    LangChain.js is a framework for building, executing, and monitoring stateful agentic applications. It provides an orchestration engine that models workflows as directed graphs, allowing developers to connect language models, data sources, and external tools into modular, multi-step processes. The platform distinguishes itself through its focus on stateful execution and human-in-the-loop control. It manages agent lifecycles by persisting execution state across threads, enabling fault tolerance and the ability to pause workflows at designated breakpoints for manual review or modification. This

    LangChain.js is a TypeScript framework for building stateful, modular AI agents with a rich tool system and LLM integrations, exactly matching the need for an extensible agent framework with a plugin-like skill architecture.

    TypeScriptAgent Testing Suites
    Voir sur GitHub↗17,818
  • affaan-m/everything-claude-codeAvatar de affaan-m

    affaan-m/everything-claude-code

    216,499Voir sur GitHub↗

    Everything Claude Code is an agentic framework designed to orchestrate complex software development workflows through specialized subagent delegation. It functions as a control plane that manages agent behavior, tool access, and context window efficiency, allowing developers to break down large tasks into focused, scoped sub-processes that prevent system overload. The framework distinguishes itself through a robust security and automation layer that includes automated static analysis and adversarial red-teaming to audit agent configurations. It enables the creation of reusable behavioral patt

    Everything Claude Code is an agentic framework for orchestrating sub-agents in software development workflows, which aligns with the search for an AI agent framework, but it is built specifically around Claude and MCP and its primary language is JavaScript rather than TypeScript, so it may not meet the expectation of a TypeScript-first, general-purpose modular skill framework.

    JavaScriptAgent OrchestrationAgent Orchestration LayersAgent Security Auditing
    Voir sur GitHub↗216,499
  • microsoft/autogenAvatar de microsoft

    microsoft/autogen

    59,002Voir sur GitHub↗

    This framework provides a development environment for building collaborative systems where autonomous agents interact to solve complex tasks through conversational workflows. It functions as a conversational workflow engine and event-driven runtime, coordinating multi-step processes by translating high-level goals into structured dialogue sequences between specialized agents. The system distinguishes itself through its message-passing orchestration, which manages state transitions and task delegation between independent participants. It supports dynamic conversation state management to provid

    AutoGen is an AI agent framework for building collaborative multi-agent systems with conversational workflows and tool integration, which fits the sought category, but it is primarily written in Python rather than offering first-class TypeScript support.

    PythonAgent Persona DefinitionsConversational AI AgentsConversational Workflow Engines
    Voir sur GitHub↗59,002
  • foundationagents/metagptAvatar de FoundationAgents

    FoundationAgents/MetaGPT

    68,844Voir sur GitHub↗

    MetaGPT is an agentic workflow engine and multi-agent orchestration framework designed to automate complex software engineering and data analysis tasks. It functions as an automated software factory that transforms high-level natural language requirements into functional web applications, technical documentation, and production-ready code. By utilizing a runtime environment that manages the lifecycle of specialized agents, the platform bridges the gap between user intent and finished software components. The system distinguishes itself through role-based agent orchestration and dynamic task d

    MetaGPT is an AI agent orchestration framework with role-based skills and multi-agent workflows—squarely the category you want—but it is written in Python, not TypeScript, so it misses your language requirement and first-class TypeScript support.

    PythonAgentic Workflow EnginesAgentic Workflow OrchestrationAI Agent Orchestrators
    Voir sur GitHub↗68,844
  • zhayujie/chatgpt-on-wechatAvatar de zhayujie

    zhayujie/chatgpt-on-wechat

    45,353Voir sur GitHub↗

    This project is an autonomous agent framework designed to integrate large language models with popular messaging platforms. It functions as a middleware platform that enables automated, multimodal interactions by decomposing complex user goals into sequential plans, executing them through external tools, and maintaining persistent context across sessions. The framework distinguishes itself through a modular skill architecture and a hybrid memory system. Users can extend system capabilities by installing custom logic modules from community hubs or generating them through natural language. The

    This is an autonomous agent framework with a modular skill architecture and LLM integration, making it the right kind of tool for building AI agents with plugins, but it is written in Python rather than TypeScript, which misses your requirement for first-class TypeScript support.

    PythonAgent FrameworksAgent OrchestratorsAgent Memory Systems
    Voir sur GitHub↗45,353

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