{"data":{"slug":"tauricresearch-tradingagents","name":"TradingAgents","tagline":"Multi-Agents LLM Financial Trading Framework","github_url":"https://github.com/TauricResearch/TradingAgents","owner":"TauricResearch","repo":"TradingAgents","owner_avatar_url":"https://avatars.githubusercontent.com/u/192884433?v=4","primary_language":"Python","stars":107378,"forks":20532,"topics":["agent","finance","llm","multiagent","trading"],"archived":false,"github_pushed_at":"2026-09-18T05:43:45+00:00","maintenance_label":"Very active","stars_delta_30d":9043,"url":"https://www.graphcanon.com/tools/tauricresearch-tradingagents","markdown_url":"https://www.graphcanon.com/tools/tauricresearch-tradingagents.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/tauricresearch-tradingagents","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=tauricresearch-tradingagents","description":"TradingAgents: Multi-Agents LLM Financial Trading Framework","homepage_url":"https://arxiv.org/pdf/2412.20138","license":"Apache-2.0","open_issues":154,"watchers":802,"ai_summary":"A framework for developing multi-agent systems for financial trading using LLMs.","readme_excerpt":"### Installation\n\nClone TradingAgents:\n```bash\ngit clone https://github.com/TauricResearch/TradingAgents.git\ncd TradingAgents\n```\n\nCreate a virtual environment in any of your favorite environment managers:\n```bash\nconda create -n tradingagents python=3.12\nconda activate tradingagents\n```\n\nOr with [uv](https://docs.astral.sh/uv/):\n```bash\nuv venv --python 3.12\nsource .venv/bin/activate\n```\n\nInstall the package and its dependencies (`uv pip install .` with uv):\n```bash\npip install .\n```\n\n---\n\n### Docker\n\nAlternatively, run with Docker:\n```bash\ncp .env.example .env  # add your API keys\ndocker compose run --rm tradingagents\n```\n\nAfter updating the repository, rebuild the image with `docker compose build`.\n\nFor local models with Ollama:\n```bash\ndocker compose --profile ollama run --rm tradingagents-ollama\n```","github_created_at":"2024-12-28T03:31:08+00:00","created_at":"2026-07-07T17:30:32.700932+00:00","updated_at":"2026-09-20T04:31:59.127167+00:00","categories":[{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"}],"tags":[{"slug":"agent","name":"agent"},{"slug":"finance","name":"finance"},{"slug":"llm","name":"llm"},{"slug":"multiagent","name":"multiagent"},{"slug":"trading","name":"trading"}],"trust":{"provenance":{"is_fork":false,"github_id":909213664,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-18T08:35:55.929Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":4,"days_since_push":0,"last_release_at":"2026-09-18T05:43:43Z","stars_delta_30d":9043,"open_issues_delta_30d":-210},"security_summary":{"status":"ok","scanner":"osv@v1","low_count":0,"high_count":0,"last_scan_at":"2026-09-18T08:35:58.135Z","medium_count":0,"scan_profile":"deps","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-18T08:35:54.807Z"},"deploy":{"source":"dockerfile:Dockerfile","self_host":true,"observed_at":"2026-09-18T08:35:54.807Z","managed_saas":false},"has_cli":{"value":true,"source":"pyproject.toml:[project.scripts]","observed_at":"2026-09-18T08:35:54.807Z"},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-09-18T08:35:54.807Z"},"has_docker":{"value":true,"source":"dockerfile:Dockerfile","observed_at":"2026-09-18T08:35:54.807Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-09-18T08:35:54.807Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["Use TradingAgents when you need a framework that supports the development of multi-agent systems specifically for financial trading scenarios.","Consider TradingAgents if you are working with local models and require support for Ollama, as it provides a specific profile for running local models.","If you prefer using Docker for managing your development environment, TradingAgents offers a straightforward setup with Docker Compose, including the option to run with Ollama."],"when_not_to_use":["Avoid TradingAgents if your project does not involve financial trading or if you do not require a multi-agent system.","Do not use TradingAgents if you are looking for a framework that does not support local models with Ollama, as this is a specific feature of TradingAgents.","If you are not comfortable with Docker or prefer not to use containerization for your development environment, TradingAgents might not be the best choice."],"source":"enrich:decision_facts","observed_at":"2026-09-18T10:45:33.140Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"TradingAgents is a Python-based framework for developing multi-agent systems for financial trading using LLMs, licensed under Apache-2.0."}]}}