AI Agents
beeai-framework
Build production-ready AI agents in both Python and Typescript.
★ 3.4k starsApache-2.0
View guide →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…
TradingAgents-astock is an open-source ai agents project by simonlin1212 (simonlin1212/TradingAgents-astock on GitHub). It has 3,609 GitHub stars and 918 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 25 September 2026.
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.
The most-starred other AI Agents projects in the LibreAI catalogue — the realistic shortlist if TradingAgents-astock is not the right fit.
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.
Free and open — grab the source, star the repo, and start creating.