{"id":1183,"slug":"ai-agent","name":"AI Agent","short_description":"Autonomous software systems that use foundation models to reason, plan, and take actions.","url":"https://github.com/topics/ai-agent","github_count":17431,"created_by":null,"logo_url":null,"released":null,"wikipedia_url":null,"related_topics":["agent-harness","llm","chatbot","machine-learning","mcp"],"aliases":["ai-agents","ai-autonomous-agent"],"github_url":null,"content":"\u003cp\u003eAn \u003cstrong\u003eAI agent\u003c/strong\u003e is a software system that autonomously perceives its environment, makes decisions, and takes actions to achieve goals — typically powered by large language models (LLMs). Unlike simple chatbots, AI agents can use tools, access external data, execute code, browse the web, and manage multi-step workflows without continuous human guidance.\u003c/p\u003e\n\n\u003cp\u003eAI agents range from coding assistants that edit files and run tests (Claude Code, Gemini CLI, Cursor) to browser automation systems (browser-use), computer-use agents (CUA), workflow builders (Activepieces), and multi-agent teams (CrewAI, deer-flow). The ecosystem includes memory layers (mem0), frontend toolkits (CopilotKit), sandboxed execution environments (E2B, Daytona), and full productivity platforms (Cherry Studio, LobeHub).\u003c/p\u003e\n","created_at":"2026-04-11T00:01:05.577Z","updated_at":"2026-06-15T00:01:08.497Z","topic_url":"https://awesome.ecosyste.ms/api/v1/topics/ai-agent","html_url":"https://awesome.ecosyste.ms/topics/ai-agent","projects_url":"https://awesome.ecosyste.ms/api/v1/projects?keyword=ai-agent","lists_url":"https://awesome.ecosyste.ms/api/v1/lists?topic=ai-agent"}