KI-Agenten
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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Anleitung ansehen →agent-framework ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von microsoft (microsoft/agent-framework auf GitHub). Es hat 13.930 Sterne auf GitHub und 2.423 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 3. Oktober 2026 auf GitHub aktualisiert.
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)
Die anderen Projekte der Kategorie KI-Agenten mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls agent-framework nicht das Richtige ist.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Verwandte Projekte der Kategorie KI-Agenten im Katalog, die agent-framework bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
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.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.