ИИ-агенты
beeai-framework
Build production-ready AI agents in both Python and Typescript.
★ 3,4 тыс. звёздApache-2.0
Смотреть руководство →TradingAgents-astock — проект с открытым исходным кодом из категории «ИИ-агенты» от simonlin1212 (simonlin1212/TradingAgents-astock на GitHub). У него 3 609 звёзд на GitHub и 918 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 25 сентября 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.
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если TradingAgents-astock вам не подходит.
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.
Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к TradingAgents-astock — продолжайте изучать полку по обе стороны от него.
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
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.