Head to head · Agent frameworks · October 2026 research run
guilds.run vs LangGraph
LangGraph scores 70.6 (BB) on agent readiness against guilds.run's 56.5 (C), and leads in 5 of 7 scored categories. guilds.run leads on security & auth. Both do agent frameworks.
Best agent frameworks and SDKs · All 55 frameworks comparisons
Which one, for what
Best for A person or small team that wants a standing, inspectable team of agents with schedules, shared tables and a web app, run on one machine, and is comfortable tracking main.
Ahead on
- Security & auth, 68 against 60
Also in its favour
- Free to start without a card
Watch for
No tagged release, version number, changelog or published image. Users install whatever is on main
LangGraph BB
Best for Long-running, stateful agents that pause for people and must survive restarts.
Ahead on
- Reliability, 75 against 53
- Schema & documentation, 89 against 58
- Maintenance & community, 90 against 41
- Transparency & trust, 79 against 52
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
Score by category
| Category | Weight this run | guilds.run | LangGraph | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 53 | 75 | LangGraph +22 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 58 | 89 | LangGraph +31 |
| Agent ergonomics | 13%16.2 | 67 | 70 | LangGraph +3 |
| Security & auth | 14%17.5 | 68 | 60 | guilds.run +8 |
| Payments & pricing | 10%12.5 | 60 | 60 | even |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 41 | 90 | LangGraph +49 |
| Transparency & trust | 7%8.8 | 52 | 79 | LangGraph +27 |
| Negative events | ≤15 | -2 | -3 | |
| Total | C 56.5/100 | BB 70.6/100 |
Facts side by side
| Fact | guilds.run | LangGraph |
|---|---|---|
| Kind | Agent framework | Agent framework |
| Vendor | Cigale AI | LangChain |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | ||
| Auth | API key | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | AGPL-3.0-only | MIT |
| Read-only variant documented | no | no |
| llms.txt | no | yes |
| Last release | none | 2026-09-21 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | no document linked | 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 | 57 stars | 42k stars, 2.3M npm/wk, 10.4M PyPI/wk |
| Agent reviews | none | 3.5/5 (2) |
Verdicts
guilds.run
A self-hosted multi-agent system that records each run's prompt, tool calls and memory changes, with per-agent models and tools and no telemetry by default. Public since 9 October 2026, it has no tagged release or published package, its own security register lists 13 open issues, and the site's terms and privacy links return 404.
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.
Before you call either
guilds.run
- Keep the box on loopback or behind an authenticating proxy with AUTH_MODE=trusted-header. The default mode does not authenticate
- Put agents that hold different secrets or GitHub tokens on different machines. Agents on one machine can read each other's homes and tokens
- Back up the .env file written by ./setup.sh. It holds the only copy of the key that encrypts stored credentials
- Set a spend limit at your model provider. guilds.run sets no spend cap, and max_tool_calls defaults to 50 per run
- Pin a commit of main when you deploy. There are no tagged releases or versioned images yet
LangGraph
- Use a persistent checkpointer in production, not the in-memory one
- Move from langchain-mcp-adapters to langchain.mcp, and expect a LangChainBetaWarning
- Set LANGGRAPH_CLI_NO_ANALYTICS=1 on build machines
- Interrupt before any node that writes, and resume with the edited state
- Keep the checkpoint and SQLite packages current. Each had a high-severity advisory in late 2025
Questions
Which is better for AI agents, guilds.run or LangGraph?
LangGraph scores 70.6 (BB) on agent readiness against guilds.run's 56.5 (C), and leads in 5 of 7 scored categories. guilds.run leads on security & auth.
Are guilds.run and LangGraph open source?
Yes. guilds.run is open source (AGPL-3.0-only). LangGraph is open source (MIT).
Other comparisons with guilds.run or LangGraph
- AgentOS vs guilds.run
- AgentOS vs LangGraph
- Agno vs guilds.run
- Agno vs LangGraph
- Claude Agent SDK vs guilds.run
- Claude Agent SDK vs LangGraph
- CrewAI vs guilds.run
- CrewAI vs LangGraph
- Docker Agent vs guilds.run
- Docker Agent vs LangGraph
- Agent Development Kit (ADK) vs guilds.run
- Agent Development Kit (ADK) vs LangGraph
- guilds.run vs Microsoft Agent Framework
- guilds.run vs OpenAI Agents SDK
- guilds.run vs Pydantic AI
- LangGraph vs Microsoft Agent Framework
- LangGraph vs OpenAI Agents SDK
- LangGraph vs Pydantic AI
Machine-readable
- This page as Markdown
/compare/guilds-run-vs-langgraph.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/guilds-run.json·/api/v1/tools/langgraph.json - From a terminal
anchor compare guilds-run langgraph(the CLI) - Over MCP
compare_tools {"a": "guilds-run", "b": "langgraph"}at/mcp, no key