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Agent Frameworks — Artificial Intelligence & Machine Learning

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Agent Frameworks — Artificial Intelligence & Machine Learning

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  • openclaw/openclaw

    openclaw/openclaw

    211,971GitHub

    Openclaw is a platform for managing agent execution environments, providing the infrastructure to control agent lifecycles, session state, and workspace persistence. It features a centralized gateway that handles model loops, tool invocation, and streaming events, while supporting multi-agent routing and persistent mem

    TypeScriptaiassistantcrustacean
  • Significant-Gravitas/AutoGPT

    Significant-Gravitas/AutoGPT

    181,891GitHub

    AutoGPT is an orchestration platform designed for building, managing, and deploying autonomous agents. It provides a visual canvas-based environment where users can assemble agents by connecting modular blocks that represent actions, data flows, and conditional logic. The platform supports the entire agent lifecycle, i

    Pythonaiartificial-intelligenceautonomous-agents
  • langchain-ai/langchain

    langchain-ai/langchain

    127,015GitHub

    LangChain is an orchestration framework designed for building, managing, and deploying applications powered by large language models. It provides a unified integration layer that normalizes disparate model provider APIs into a consistent set of primitives, enabling developers to build complex, multi-step AI workflows t

    Pythonagentsaiai-agents
  • google-gemini/gemini-cli

    google-gemini/gemini-cli

    94,954GitHub

    This project provides a command-line interface for managing autonomous agent workflows, task orchestration, and system-level automation. It includes a comprehensive framework for defining agent skills, managing persistent memory, and delegating tasks to specialized subagents. Users can configure complex planning modes,

    TypeScriptaiai-agentscli
  • florinpop17/app-ideas

    florinpop17/app-ideas

    90,567GitHub

    App-ideas is a development platform that integrates autonomous AI agents into local environments to orchestrate code review, automated fix application, and workflow management. It functions as a command-line interface that connects external AI assistants to your codebase, enabling iterative development cycles through p

    applicationscodingcodingchallenges
  • browser-use/browser-use

    browser-use/browser-use

    78,576GitHub

    Browser-use is a framework for building autonomous agents that navigate, interact with, and extract data from web interfaces using natural language instructions. By acting as an orchestration layer between large language models and browser automation protocols, it enables the execution of complex, multi-step workflows

    Pythonai-agentsai-toolsbrowser-automation
  • infiniflow/ragflow

    infiniflow/ragflow

    73,425GitHub

    This project is a comprehensive retrieval-augmented generation platform designed for building, managing, and deploying knowledge-based AI applications. It provides a unified environment for organizing datasets, configuring conversational chat assistants, and developing autonomous agents that execute multi-step reasonin

    Pythonagentagenticagentic-ai