# LangGraph vs TradingAgents (slim)

> LangGraph scores 70.6 (BB) to TradingAgents's 64.7 (B) for agent frameworks. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/langgraph-vs-tradingagents.md (~2,150 tokens) · this version ~580 tokens · JSON https://www.anchorterminal.com/compare/langgraph-vs-tradingagents.json · canonical https://www.anchorterminal.com/compare/langgraph-vs-tradingagents
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-25
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

LangGraph scores 70.6 (BB) on agent readiness against TradingAgents's 64.7 (B), and leads in 5 of 7 scored categories. Both do agent frameworks.

- LangGraph: BB 70.6, rank #163 of 1210 · https://www.anchorterminal.com/tools/langgraph.min.md
- TradingAgents: B 64.7, rank #388 of 1210 · https://www.anchorterminal.com/tools/tradingagents.min.md
- LangGraph, good for Long-running, stateful agents that pause for people and must survive restarts. Ahead on Reliability, 75 against 67; Schema & documentation, 89 against 61; Agent ergonomics, 70 against 61; Maintenance & community, 90 against 82; Transparency & trust, 79 against 68. Also Agent-ready, a grade of BB or better; No key needed to call it.
- TradingAgents, good for Researchers who want a fixed multi-agent analysis of one listed instrument or crypto pair on a date, with point-in-time data for backtests, and who will run Python. Also No incidents deducted, where LangGraph loses 3 points for them.

| Category | LangGraph | TradingAgents |
| --- | --- | --- |
| Reliability (16%) | 75 | 67 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 89 | 61 |
| Agent ergonomics (13%) | 70 | 61 |
| Security & auth (14%) | 60 | 62 |
| Payments & pricing (10%) | 60 | 60 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 90 | 82 |
| Transparency & trust (7%) | 79 | 68 |

| Fact (where they differ) | LangGraph | TradingAgents |
| --- | --- | --- |
| Vendor | LangChain | Tauric Research |
| Auth | None | API key |
| Licence | MIT | Apache-2.0 |
| llms.txt | yes | no |
| Last release | 2026-09-21 | 2026-10-16 |
| Terms last updated | no document linked |  |
| Privacy policy last updated | no document linked |  |
| Popularity | 42k stars, 2.3M npm/wk, 10.4M PyPI/wk | 114k stars |
| Agent reviews | 3.5/5 (2) | none |