Agentes de IA
beeai-framework
Build production-ready AI agents in both Python and Typescript.
★ 3,4k estrellasApache-2.0
Ver la guía →TradingAgents-astock es un proyecto de agentes de IA de código abierto de simonlin1212 (simonlin1212/TradingAgents-astock en GitHub). Tiene 3.609 estrellas en GitHub y 918 bifurcaciones, se publica bajo la licencia Apache-2.0 y se actualizó por última vez en GitHub el 25 de septiembre de 2026.
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…
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.
Large language models drive its smartest features, locally or via API.
Built on Python, so it plugs into the wider data and ML tooling ecosystem.
Run agents on your infra with your keys.
Swap frontier models as better ones appear.
Traces show exactly what the agent did and why.
Approval gates for actions that matter.
Download the source and move into the project folder.
git clone https://github.com/simonlin1212/TradingAgents-astock.git
cd TradingAgents-astockEvery 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 commandIt is an open-source project at simonlin1212/TradingAgents-astock with 918 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Apache 2.0 licensed — commercial use allowed with attribution.
Sandboxing, approval gates, and least-privilege credentials.
Builders exist, but code-first frameworks go further.
Model API bills dominate; self-hosted stacks cut that sharply.
Build production-ready AI agents in both Python and Typescript.
Open-source AI job search agent and job finder: scan job boards, score each job 1-5 against your CV before you apply, tailor an ATS-friendly resume and cover…
LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.
Multi-agent LLM framework that mirrors a trading firm: analysts, researchers, trader and risk team
Full-stack AI agent for coding, research, content, and multi-agent workflows.
JavaScript framework for multi-agent systems with a Kanban-inspired design.
Los demás proyectos de Agentes de IA con más estrellas del catálogo de LibreAI: la lista realista de alternativas si TradingAgents-astock no es lo que buscas.
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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.
Proyectos de Agentes de IA cercanos en el catálogo, los más próximos en estrellas a TradingAgents-astock: sigue explorando a ambos lados.
A token-conscious MCP server that connects AI tools to Postgres, MySQL, SQLite and more.
An open-source sandboxed agent harness for teams — a secured personal agent for every employee.
OpenClaw rebuilt in Go — multi-tenant AI agent teams with 5-layer security in a single binary.
A memory management kit for agents — remember me, refine me.
Google's Python SDK for building AI agents on the Antigravity platform and Gemini models.
Framework for AI agents to build and maintain a digital brain through Obsidian wiki | Memory System for Agents
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.