Our verdict
A solid, actively developed project. This assessment is derived from GitHub's own repository metrics on 2026-08-24, not from hands-on testing.
TradingAgents: Multi-Agents LLM Financial Trading Framework. The project is written primarily in Python, released under Apache-2.0, and has 99,713 stars and 19,274 forks on GitHub. 20 contributors have committed to it, and the most recent push was 2026-07-18. The latest tagged release is v0.3.1 (2026-07-05). Figures come from the GitHub API on 2026-08-24 and are refreshed daily; the score below weighs adoption, maintenance, release discipline, contributor breadth, licence clarity and issue hygiene.
Repository
99.7kStars
19.3kForks
751Watching
20Contributors
372Open issues
- Licence
- Apache-2.0
- Language
- Python
- Last push
- 2026-07-18
Releases
-
v0.3.1TradingAgents v0.3.1 -
v0.3.0TradingAgents v0.3.0 -
v0.2.5TradingAgents v0.2.5 -
v0.2.4TradingAgents v0.2.4 -
v0.2.3TradingAgents v0.2.3 -
v0.2.2TradingAgents v0.2.2
Pros and cons
Pros
Cons
User reviews
No user reviews yet.
Be the first to review TradingAgentsTradingAgents alternatives
ECC
The agent harness performance optimization system. Skills, instincts, memory,…
Browser Use
🌐 Make websites accessible for AI agents. Automate tasks…
Gemini CLI
An open-source AI agent that brings the power of…
Claude Mem
Persistent Context Across Sessions for Every Agent – Captures…
Firecrawl
The context API to search, scrape, and interact with…
Context7
Context7 Platform — Up-to-date code documentation for LLMs and…
Side by side
| Tool | Our score | From | Free tier | Best for | |
|---|---|---|---|---|---|
| TradingAgents this page | 8.1 | — | Yes | ||
| ECC | 9.4 | — | Yes | ||
| Browser Use | 9.3 | — | Yes | ||
| Gemini CLI | 9.2 | — | Yes | ||
| Claude Mem | 9.1 | — | Yes | ||
| Firecrawl | 9.1 | $16 | Yes | Developers building RAG pipelines and research agents | Visit |
| Context7 | 9 | — | Yes |
