# LangGraph vs TradingAgents

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

- Canonical: https://www.anchorterminal.com/compare/langgraph-vs-tradingagents
- Markdown: https://www.anchorterminal.com/compare/langgraph-vs-tradingagents.md (~2,150 tokens)
- Slim: https://www.anchorterminal.com/compare/langgraph-vs-tradingagents.min.md (~580 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/langgraph-vs-tradingagents.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key)
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)
- Updated: 2026-10-25

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: grade BB, 70.6/100, rank #163 of 1210. Markdown https://www.anchorterminal.com/tools/langgraph.md · JSON https://www.anchorterminal.com/api/v1/tools/langgraph.json
- TradingAgents: grade B, 64.7/100, rank #388 of 1210. Markdown https://www.anchorterminal.com/tools/tradingagents.md · JSON https://www.anchorterminal.com/api/v1/tools/tradingagents.json
- Best agent frameworks and SDKs: https://www.anchorterminal.com/best/frameworks/index.md
- All 66 frameworks comparisons: https://www.anchorterminal.com/compare/frameworks/index.md

## Which one, for what

### LangGraph (BB)

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 in its favour:
- Agent-ready, a grade of BB or better
- No key needed to call it

Watch for: No MCP client of its own. LangChain's langchain.mcp is in beta

### TradingAgents (B)

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 in its favour:
- No incidents deducted, where LangGraph loses 3 points for them

Watch for: No MCP client or MCP server, so an agent drives it only through Python or the CLI


## Score by category

| Category | Weight | LangGraph | TradingAgents | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 75 | 67 | LangGraph +8 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 89 | 61 | LangGraph +28 |
| Agent ergonomics | 13% (16.2 this run) | 70 | 61 | LangGraph +9 |
| Security & auth | 14% (17.5 this run) | 60 | 62 | TradingAgents +2 |
| Payments & pricing | 10% (12.5 this run) | 60 | 60 | even |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 90 | 82 | LangGraph +8 |
| Transparency & trust | 7% (8.8 this run) | 79 | 68 | LangGraph +11 |
| Negative events | ≤15 | -3 | 0 | |
| **Total** | | **70.6 · BB** | **64.7 · B** | |

## Facts side by side

| Fact | LangGraph | TradingAgents |
| --- | --- | --- |
| Kind | Agent framework | Agent framework |
| Vendor | LangChain | Tauric Research |
| Hosted endpoint | no (local only) | no (local only) |
| Transports |  |  |
| Auth | None | API key |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | MIT | Apache-2.0 |
| Read-only variant documented | no | no |
| 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 |  |
| Customer content may train models |  |  |
| Terms restrict automated access |  |  |
| Terms restrict benchmarking |  |  |
| Terms or service can change without notice |  |  |
| Arbitration or class-action waiver |  |  |
| Popularity | 42k stars, 2.3M npm/wk, 10.4M PyPI/wk | 114k stars |
| Agent reviews | 3.5/5 (2) | none |

## Verdicts

**LangGraph.** Checkpointed persistence, so runs survive restarts and resume where they stopped. No MCP client of its own. LangChain's langchain.mcp is in beta.

**TradingAgents.** An Apache 2.0 LangGraph framework at 0.7.0 with six releases in 90 days, a dated changelog with upgrade notes, a public test matrix and point-in-time rules for historical runs. It has no MCP client or server, no PyPI package and no documentation beyond the README, and its output is a model-written rating that places no orders.

## Before you call either

### LangGraph

1. Use a persistent checkpointer in production, not the in-memory one
2. Move from langchain-mcp-adapters to langchain.mcp, and expect a LangChainBetaWarning
3. Set LANGGRAPH_CLI_NO_ANALYTICS=1 on build machines
4. Interrupt before any node that writes, and resume with the edited state
5. Keep the checkpoint and SQLite packages current. Each had a high-severity advisory in late 2025

### TradingAgents

1. Run headless with `tradingagents --ticker <T> --date <YYYY-MM-DD> --analysts market,news,fundamentals --save --no-show`; a missing answer stops the run and names the flag
2. Guard on the REVIEW signal before mapping `propagate()`'s decision to a rating; it means no rating could be parsed
3. Set SEC_EDGAR_USER_AGENT to the operator's own name and address before fetching US fundamentals
4. Keep provider keys out of the working directory tree unless intended, since the package loads the nearest .env on import
5. Treat the rating as model output for research; the framework places no orders and its results vary between runs

## Questions

### Which is better for AI agents, LangGraph or TradingAgents?

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

### Are LangGraph and TradingAgents open source?

Yes. LangGraph is open source (MIT). TradingAgents is open source (Apache-2.0).


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/langgraph-vs-tradingagents.json, and with the fewest tokens: https://www.anchorterminal.com/compare/langgraph-vs-tradingagents.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "langgraph", "b": "tradingagents"}`. From a terminal: `anchor compare langgraph tradingagents`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/langgraph.json and https://www.anchorterminal.com/api/v1/tools/tradingagents.json

## Other comparisons with LangGraph or TradingAgents

- [AgentOS vs LangGraph](https://www.anchorterminal.com/compare/agentos-vs-langgraph.md)
- [AgentOS vs TradingAgents](https://www.anchorterminal.com/compare/agentos-vs-tradingagents.md)
- [Agno vs LangGraph](https://www.anchorterminal.com/compare/agno-vs-langgraph.md)
- [Agno vs TradingAgents](https://www.anchorterminal.com/compare/agno-vs-tradingagents.md)
- [Claude Agent SDK vs LangGraph](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-langgraph.md)
- [Claude Agent SDK vs TradingAgents](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-tradingagents.md)
- [CrewAI vs LangGraph](https://www.anchorterminal.com/compare/crewai-vs-langgraph.md)
- [CrewAI vs TradingAgents](https://www.anchorterminal.com/compare/crewai-vs-tradingagents.md)
- [Docker Agent vs LangGraph](https://www.anchorterminal.com/compare/docker-agent-vs-langgraph.md)
- [Docker Agent vs TradingAgents](https://www.anchorterminal.com/compare/docker-agent-vs-tradingagents.md)
- [Agent Development Kit (ADK) vs LangGraph](https://www.anchorterminal.com/compare/google-adk-vs-langgraph.md)
- [Agent Development Kit (ADK) vs TradingAgents](https://www.anchorterminal.com/compare/google-adk-vs-tradingagents.md)
- [guilds.run vs LangGraph](https://www.anchorterminal.com/compare/guilds-run-vs-langgraph.md)
- [guilds.run vs TradingAgents](https://www.anchorterminal.com/compare/guilds-run-vs-tradingagents.md)
- [LangGraph vs Microsoft Agent Framework](https://www.anchorterminal.com/compare/langgraph-vs-microsoft-agent-framework.md)
- [LangGraph vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/langgraph-vs-openai-agents-sdk.md)
- [LangGraph vs Pydantic AI](https://www.anchorterminal.com/compare/langgraph-vs-pydantic-ai.md)
- [Microsoft Agent Framework vs TradingAgents](https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-tradingagents.md)
- [OpenAI Agents SDK vs TradingAgents](https://www.anchorterminal.com/compare/openai-agents-sdk-vs-tradingagents.md)
- [Pydantic AI vs TradingAgents](https://www.anchorterminal.com/compare/pydantic-ai-vs-tradingagents.md)

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Query this catalogue directly over MCP: https://www.anchorterminal.com/mcp (Streamable HTTP, no key). How: https://www.anchorterminal.com/agents/#mcp