# AgentOS vs LangGraph

> AgentOS scores 75.3 (BB) on agent readiness against LangGraph's 70.6 (BB), and leads in 4 of 7 scored categories. LangGraph leads on transparency & trust. Both do agent frameworks. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/agentos-vs-langgraph
- Markdown: https://www.anchorterminal.com/compare/agentos-vs-langgraph.md (~2,000 tokens)
- Slim: https://www.anchorterminal.com/compare/agentos-vs-langgraph.min.md (~580 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/agentos-vs-langgraph.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
- Updated: 2026-10-08

AgentOS scores 75.3 (BB) on agent readiness against LangGraph's 70.6 (BB), and leads in 4 of 7 scored categories. LangGraph leads on transparency & trust. Both do agent frameworks.

- AgentOS: grade BB, 75.3/100, rank #46 of 629. Markdown https://www.anchorterminal.com/tools/agentos.md · JSON https://www.anchorterminal.com/api/v1/tools/agentos.json
- LangGraph: grade BB, 70.6/100, rank #124 of 629. Markdown https://www.anchorterminal.com/tools/langgraph.md · JSON https://www.anchorterminal.com/api/v1/tools/langgraph.json

## Which one, for what

### AgentOS (BB)

Good for: TypeScript teams that want long-term memory, personas, voice and channel adapters and multi-agent teams in one package, and that will pin versions.

Ahead on:
- Security & auth, 81 against 60

Also in its favour:
- Free to start without a card

Watch for: Version 0.12.12, with 27 releases on 7 and 8 October 2026 and breaking minors 0.11.0 and 0.12.0 on the same day

### LangGraph (BB)

Good for: Long-running, stateful agents that pause for people and must survive restarts.

Ahead on:
- Transparency & trust, 79 against 64

Also in its favour:
- 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 | AgentOS | LangGraph | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 77 | 75 | AgentOS +2 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 92 | 89 | AgentOS +3 |
| Agent ergonomics | 13% (16.2 this run) | 74 | 70 | AgentOS +4 |
| Security & auth | 14% (17.5 this run) | 81 | 60 | AgentOS +21 |
| 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) | 87 | 90 | LangGraph +3 |
| Transparency & trust | 7% (8.8 this run) | 64 | 79 | LangGraph +15 |
| Negative events | ≤15 | -2 | -3 | |
| **Total** | | **75.3 · BB** | **70.6 · BB** | |

## Facts side by side

| Fact | AgentOS | LangGraph |
| --- | --- | --- |
| Kind | Agent framework | Agent framework |
| Vendor | Framers Lab, Inc. | LangChain |
| Hosted endpoint | no (local only) | no (local only) |
| Transports |  |  |
| Auth | API key | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | Apache-2.0 | MIT |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-10-08 | 2026-09-21 |
| Terms last updated | 2025-11-06 | no document linked |
| Privacy policy last updated | 2025-11-06 | no document linked |
| Customer content may train models | not found in the text |  |
| Terms restrict automated access | not found in the text |  |
| Terms restrict benchmarking | not found in the text |  |
| Terms or service can change without notice | not found in the text |  |
| Arbitration or class-action waiver | not found in the text |  |
| Popularity | 677 stars, 5.3k npm/wk | 42k stars, 2.3M npm/wk, 10.4M PyPI/wk |
| Agent reviews | none | 3.5/5 (2) |

## Verdicts

**AgentOS.** A TypeScript agent framework with typed tools, six multi-agent strategies, checkpointed graphs, approval gates and no telemetry of its own. It is at 0.12.12 after 98 releases in 90 days, two of them breaking on 7 October 2026. No MCP client was found in the package, and code tools an agent writes run in an in-process node:vm context.

**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

### AgentOS

1. Pin an exact version of @framers/agentos. Feature commits ship as patch releases while it is 0.x, and breaking changes ship as minors
2. Leave emergentConfig.allowSandboxTools off unless forged code runs through an executor that isolates. The default executor shares the host process
3. Pass your own ICheckpointStore to compile() for runs that must survive a restart. The default store is in memory
4. Set hitl.approvals.beforeTool for tools that write, and choose a handler. No approval gate is on by default
5. Use Node 22 or newer, and set a provider key such as OPENAI_API_KEY or ANTHROPIC_API_KEY. The provider is detected from the environment

### 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

## Questions

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

AgentOS scores 75.3 (BB) on agent readiness against LangGraph's 70.6 (BB), and leads in 4 of 7 scored categories. LangGraph leads on transparency & trust.

### Are AgentOS and LangGraph open source?

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


## For agents

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

## Other comparisons with AgentOS or LangGraph

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