ИИ-агенты
fast-agent
Code, build and evaluate LLM agents with full MCP, Skills, ACP and A2A support.
★ 3,9 тыс. звёздApache-2.0
Смотреть руководство →agno — проект с открытым исходным кодом из категории «ИИ-агенты» от agno-agi (agno-agi/agno на GitHub). У него 42 610 звёзд на GitHub и 6 113 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 8 октября 2026.
Build, run, and manage full agent platforms — not just single agents.
Know what you want the agent to accomplish before touching any code.
Clone the repo and read the README's requirements section.
Install what's needed and add API keys or configuration.
Run the quickstart example, then iterate from there.
Build, run, and manage — not just prototype.
Coordinate groups of agents, not lone wolves.
Aimed at running agents reliably, at scale.
Native feel for the Python AI ecosystem.
Wire agents to the tools they need.
Commercial-friendly licensing.
Download the source and move into the project folder.
git clone https://github.com/agno-agi/agno.git
cd agnoIsolate dependencies, then install requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtLaunch using the entry point shown in the README.
python -m agno # check README for the exact commandIt is an open-source project at agno-agi/agno with 6113 forks. Check the contributors tab and recent commits to judge how active maintenance is.
Yes — Apache 2.0 allows commercial use and modification. Keep the license and notice files, and note it includes a patent grant.
LangChain is a broad ecosystem; Agno focuses on the full agent-platform lifecycle — build, run, manage — in one Python framework.
That's the pitch: running and managing agent platforms, not just prototyping them.
Clone the repo and follow the README quickstart — the docs at https://docs.agno.com walk through setup.
Code, build and evaluate LLM agents with full MCP, Skills, ACP and A2A support.
Build and run agents you can see, understand and trust — framework plus a visual agent service
Build, run, and scale AI agents like APIs and microservices.
An MCP server and CLI that lets AI agents build, test and run iOS and macOS projects.
Chinese Java course: build AI agents with Spring AI, RAG, MCP, and tool calling.
Autonomous AI agents for penetration testing — self-hosted, multi-agent, with a full web UI
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если agno вам не подходит.
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Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
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DeepSeek's plugin-based agent harness where everything is a plugin.
Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к agno — продолжайте изучать полку по обе стороны от него.
Build resilient agents
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AI Agent Assistant & development framework that integrates lots of IM platforms, LLMs, plugins and AI feature, and can be your openclaw alternative. ✨
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Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.