Agents IA
TradingAgents-astock
A股多Agent投研框架 — 适配A股数据源(龙虎榜/游资/解禁等)，7位分析师基于A股规则的辩论决策，基于TradingAgents深度改造，适配大A。A-share multi-agent investment research framework — 7 AI analysts, bull/bear deb…
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Voir le guide →agent-framework est un projet de agents IA open source, créé par microsoft (microsoft/agent-framework sur GitHub). Il compte 13 930 étoiles sur GitHub et 2 423 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 3 octobre 2026.
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
Research, coding, browsing, or ops — agents work best with a clear goal.
From no-code builders to code-first SDKs, match complexity to the task.
Web search, code execution, and APIs are what make agents useful.
Watch the trace, approve consequential actions, iterate.
Built on Python, so it plugs into the wider data and ML tooling ecosystem.
Long-term memory across sessions, not goldfish chat.
Specialized agents collaborate on bigger jobs.
Agents call real tools: browsers, terminals, APIs.
Benchmarks keep agent quality measurable.
Run agents on your infra with your keys.
Download the source and move into the project folder.
git clone https://github.com/microsoft/agent-framework.git
cd agent-frameworkEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandAlso on this shelf: mlx — Apple's array framework for running ML efficiently on Apple silicon. The AI Agents shelf also holds deepeval — Unit tests for LLMs — evaluate before you ship. Readers working through the AI Agents shelf also stop at weaviate, Vector search plus structured filtering in one database.
It is an open-source project at microsoft/agent-framework with 2,423 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
Builders exist, but code-first frameworks go further.
Model API bills dominate; self-hosted stacks cut that sharply.
For bounded tasks with supervision, yes. Fully autonomous money-moves still need guardrails.
A股多Agent投研框架 — 适配A股数据源(龙虎榜/游资/解禁等)，7位分析师基于A股规则的辩论决策，基于TradingAgents深度改造，适配大A。A-share multi-agent investment research framework — 7 AI analysts, bull/bear deb…
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message…
Open-Source Frontier Voice AI
AI agent framework for plan-first development workflows with approval-based execution. Multi-language support (TypeScript, Python, Go, Rust) with automatic t…
A lightweight, powerful framework for multi-agent workflows
Langroid: a principled Python framework for building LLM multi-agent applications (from CMU/UW researchers)
Les autres projets de la catégorie Agents IA avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si agent-framework ne vous convient pas.
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Projets de la catégorie Agents IA proches dans le catalogue, les plus proches en étoiles de agent-framework — continuez à explorer de part et d'autre.
Physical Intelligence's open vision-language-action models (pi0, pi0-FAST, pi0.5) for robot policies.
Open-source agentic browser your AI agents drive with your logins, plus an AI browser for humans.
Secure sandboxes where AI agents run real code.
Production-ready headless browser for AI agents, built in Rust - structure first, pixels only on demand.
A framework for building realtime voice AI agents 🤖🎙️📹
The official TypeScript SDK for Model Context Protocol servers and clients.
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.