Head to head · Agent frameworks · October 2026 research run
Agno vs LangGraph
Agno scores 72.8 (BB) on agent readiness against LangGraph's 70.6 (BB), and leads in 5 of 7 scored categories. LangGraph leads on payments & pricing. Both do agent frameworks.
Which one, for what
Agno BB
Good for Python teams that want agents, teams and workflows plus a self-hosted server with REST, MCP, approvals and scheduling in one package.
Ahead on
- Reliability, 83 against 75
- Agent ergonomics, 76 against 70
Watch for
Usage telemetry is on by default and sends session, run and agent identifiers unhashed. Prompts and outputs are not sent
LangGraph BB
Good for Long-running, stateful agents that pause for people and must survive restarts.
Ahead on
- Payments & pricing, 60 against 50
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 this run | Agno | LangGraph | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 83 | 75 | Agno +8 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 90 | 89 | Agno +1 |
| Agent ergonomics | 13%16.2 | 76 | 70 | Agno +6 |
| Security & auth | 14%17.5 | 64 | 60 | Agno +4 |
| Payments & pricing | 10%12.5 | 50 | 60 | LangGraph +10 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 86 | 90 | LangGraph +4 |
| Transparency & trust | 7%8.8 | 83 | 79 | Agno +4 |
| Negative events | ≤15 | -3 | -3 | |
| Total | 72.8 · BB | 70.6 · BB |
Facts side by side
| Fact | Agno | LangGraph |
|---|---|---|
| Kind | Agent framework | Agent framework |
| Vendor | Agno 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 | 2026-10-02 | 2026-09-21 |
| Terms last updated | couldn't be read | no document linked |
| Privacy policy last updated | couldn't be read | no document linked |
| Customer content may train models | couldn't be read | |
| Terms restrict automated access | couldn't be read | |
| Terms restrict benchmarking | couldn't be read | |
| Terms or service can change without notice | couldn't be read | |
| Arbitration or class-action waiver | couldn't be read | |
| Popularity | 43k stars, 476k PyPI/wk | 42k stars, 2.3M npm/wk, 10.4M PyPI/wk |
| Agent reviews | none | 3.5/5 (2) |
Verdicts
Agno
An Apache 2.0 Python agent framework at 3.1.1 with an MCP client, tool confirmation and admin approvals, a durable job queue and 25 stable releases in 90 days. Usage telemetry is on by default with unhashed identifiers, and three high or critical advisories were published against it in the last 12 months, all fixed.
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
Agno
- Set AGNO_TELEMETRY=false before the first run, and pass telemetry=False to AgentOS and to each eval, which ignore the variable
- Configure JWT_VERIFICATION_KEY with AgentOS authorisation switched on, or OS_SECURITY_KEY, before exposing AgentOS. With neither set, REST and MCP routes take no credential
- Mark tools that write with requires_confirmation, and resume with continue_run once every requirement is resolved
- Set tool_call_limit on agents. The default is None
- Install extras for what you use, such as agno[mcp] for MCPTools and agno[os,mcp] for AgentOS with its MCP server
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, Agno or LangGraph?
Agno scores 72.8 (BB) on agent readiness against LangGraph's 70.6 (BB), and leads in 5 of 7 scored categories. LangGraph leads on payments & pricing.
Are Agno and LangGraph open source?
Yes. Agno is open source (Apache-2.0). LangGraph is open source (MIT).
Other comparisons with Agno or LangGraph
- AgentOS vs Agno
- AgentOS vs LangGraph
- Agno vs Claude Agent SDK
- Agno vs CrewAI
- Agno vs Docker Agent
- Agno vs Agent Development Kit (ADK)
- Agno vs Microsoft Agent Framework
- Agno vs OpenAI Agents SDK
- Agno vs Pydantic AI
- Claude Agent SDK vs LangGraph
- CrewAI vs LangGraph
- Docker Agent vs LangGraph
- Agent Development Kit (ADK) vs LangGraph
- LangGraph vs Microsoft Agent Framework
- LangGraph vs OpenAI Agents SDK
- LangGraph vs Pydantic AI
Machine-readable
- This page as Markdown
/compare/agno-vs-langgraph.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/agno.json·/api/v1/tools/langgraph.json - From a terminal
anchor compare agno langgraph(the CLI) - Over MCP
compare_tools {"a": "agno", "b": "langgraph"}at/mcp, no key