Agentes de IA
beeai-framework
Build production-ready AI agents in both Python and Typescript.
★ 3,4 mil estrelasApache-2.0
Ver o guia →TradingAgents-astock é um projeto de agentes de IA de código aberto de simonlin1212 (simonlin1212/TradingAgents-astock no GitHub). Tem 3.609 estrelas no GitHub e 918 forks, é publicado sob a licença Apache-2.0 e foi atualizado pela última vez no GitHub em 25 de setembro 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.
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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
Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.