{ "data": { "a": { "slug": "agno", "name": "Agno", "vendor": "Agno Inc.", "vendorUrl": "https://www.agno.com", "kind": "framework", "category": "frameworks", "summary": "Open-source Python framework from Agno Inc. for building agents, teams and workflows, with the AgentOS runtime that serves them over a REST API and an MCP server. Formerly Phidata.", "url": "https://www.anchorterminal.com/tools/agno", "markdownUrl": "https://www.anchorterminal.com/tools/agno.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/agno.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/agno.json", "repo": "https://github.com/agno-agi/agno", "license": "Apache-2.0", "transports": [], "packages": [ { "registry": "pypi", "name": "agno" } ], "auth": "api-key", "authNotes": "The framework has no account of its own. Each model provider takes its own key from the environment. AgentOS, the server you run, accepts JWTs, a shared OS_SECURITY_KEY or service-account tokens, and takes no credential when none is configured. The hosted control plane at os.agno.com needs a sign-in.", "pricing": "free", "pricingNotes": "The SDK and AgentOS are free under Apache 2.0, and you pay your model provider. The optional hosted control plane is free for a local AgentOS and $150 a month (Pro) for a live deployment, with Enterprise by quote (https://www.agno.com/pricing, checked 2026-10-08).", "priceSummary": "Free · OSS", "where": "library", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the library source or on the pricing page. The only match in the repository is a cookbook example that calls a third-party x402 MCP server (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 42612, "npmWeekly": null, "pypiWeekly": 475559, "asOf": "2026-10-08" }, "docsUrl": "https://docs.agno.com", "llmsTxt": "https://docs.agno.com/llms.txt", "capabilities": [ "agent.framework", "agent.multi-agent", "agent.durable", "agent.mcp-client" ], "tags": [ "framework", "python", "open-source", "llms-txt", "mcp", "otel", "free" ], "lastRelease": "2026-10-02", "graded": true, "anchor": { "graded": true, "score": 72.8, "grade": "BB", "agentReady": true, "rank": 85, "ranked": true, "rankOf": 722, "categoryRank": 7, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 76, "maintenance": 86, "payments": 50, "reliability": 83, "schema": 90, "security": 64, "transparency": 83 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": -3, "negativeNotes": [ "2026-06-30. GHSA-m4w4-3r8h-jw98 (CVE-2026-35002, critical), arbitrary code execution through eval() on field_type in a FunctionCall, fixed in 2.3.24. GHSA-w9j5-7p53-pvr3 (CVE-2026-10105, high, published 2026-07-27), SQL injection in the ClickHouse vector store's delete_by_metadata, parameterised in the current source. GHSA-vw84-hprm-cxmm (CVE-2025-64168, high, 2025-10-31), session state written to the wrong session under concurrency, fixed in 2.2.2. All three are fixed and published as advisories in the repository, so 1 point each. https://github.com/agno-agi/agno/security/advisories" ], "verdict": "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.", "bestFor": "Python teams that want agents, teams and workflows plus a self-hosted server with REST, MCP, approvals and scheduling in one package.", "strengths": [ "Apache 2.0, with 25 stable releases on PyPI in the 90 days to 8 October 2026 and 3.1.1 on 2 October", "MCP client (MCPTools) over Streamable HTTP and stdio with include_tools, exclude_tools and a name prefix", "Tool calls can require confirmation, user input or an admin approval that is stored and audited", "llms.txt, llms-full.txt, a Markdown twin of every docs page and a docs MCP server at docs.agno.com/mcp", "Unit tests, Ruff and mypy run in public CI, and 10 of the 12 latest runs on main passed with 2 cancelled" ], "weaknesses": [ "Usage telemetry is on by default and sends session, run and agent identifiers unhashed. Prompts and outputs are not sent", "AGNO_TELEMETRY=false does not cover AgentOS launches or evals, which need telemetry=False on the instance", "Three advisories in 12 months, an eval injection rated critical, a ClickHouse SQL injection and a session state leak, all fixed", "867 open issues and 968 open pull requests on 8 October 2026, with 287 issues opened and 105 closed in 30 days", "AgentOS requires no credential unless a JWT key or OS_SECURITY_KEY is configured", "Terms and privacy pages at os.agno.com render only with JavaScript and could not be read" ], "agentNotes": [ "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" ], "metrics": { "kind": "library", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 72.8 } ], "editorialScores": { "ergonomics": 76, "maintenance": 86, "payments": 50, "reliability": 83, "schema": 90, "security": 64, "transparency": 73 }, "provenanceScore": 93 }, "connect": { "install": "pip install -U agno # MCP client: pip install -U \"agno[mcp]\"" }, "letme": { "capability": "https://letme.dev/agent.framework", "tool": "https://letme.dev/agno" }, "area": "frameworks", "unitPrices": [ { "item": "Control plane Pro plan, one live AgentOS connection and three seats", "unit": "month", "usd": 150 } ], "provenance": { "legalEntity": "Agno Inc.", "domain": "agno.com", "domainRegistered": "2003-04-13", "endpointOnVendorDomain": null, "terms": "https://os.agno.com/legal/tos", "privacy": "https://os.agno.com/legal/privacy", "statusPage": "https://status.agno.com", "changelog": "https://www.agno.com/changelog", "securityTxt": "valid", "checked": "2026-10-08", "notes": [ "The licence file reads Copyright 2025-2026 Agno Inc. and the site footer reads © 2026 Agno Inc.", "www.agno.com/.well-known/security.txt gives https://github.com/agno-agi/agno/security as the contact and expires 2027-08-10.", "The terms and privacy links in the www.agno.com footer go to os.agno.com/legal/tos and /legal/privacy. Both return 200 but render only with JavaScript, so their text was not read. They cover the hosted control plane. The SDK itself is under Apache 2.0.", "status.agno.com lists Website and AgentOS components, which are the vendor's hosted services, not the library.", "RDAP gives agno.com a registration date of 2003-04-13. github.com/phidatahq/phidata redirects to agno-agi/agno." ], "score": 93 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/agno.json", "live": { "slug": "agno", "vendorStatus": { "page": "https://status.agno.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-08T23:13:13.90695098Z" }, "pages": [ { "url": "https://www.agno.com/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-08T18:26:00.846605424Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "9f1b3a47f34c" }, { "url": "https://www.agno.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-08T18:26:03.20718868Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "39cf0ea4a9f3" }, { "url": "https://os.agno.com/legal/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:22:43.657502021Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "e3b0c44298fc" }, { "url": "https://os.agno.com/legal/tos", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:22:45.687556777Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "e3b0c44298fc" } ], "updatedAt": "2026-10-08T23:13:13.90695098Z" } }, "answer": "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 \u0026 pricing.", "b": { "slug": "langgraph", "name": "LangGraph", "vendor": "LangChain", "vendorUrl": "https://www.langchain.com", "kind": "framework", "category": "frameworks", "summary": "Low-level runtime for long-running, stateful agent graphs with checkpointed persistence, human-in-the-loop, memory and streaming.", "url": "https://www.anchorterminal.com/tools/langgraph", "markdownUrl": "https://www.anchorterminal.com/tools/langgraph.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/langgraph.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/langgraph.json", "repo": "https://github.com/langchain-ai/langgraph", "license": "MIT", "transports": [], "packages": [ { "registry": "pypi", "name": "langgraph" }, { "registry": "npm", "name": "@langchain/langgraph" } ], "auth": "none", "authNotes": "A library. Credentials are for whichever model and tools you wire in.", "pricing": "free", "pricingNotes": "Free and open source. You pay for the model calls it makes. LangSmith for tracing is free for one developer, then $39 a seat a month. Deployment is metered.", "priceSummary": "Free · OSS", "where": "library", "x402": { "level": "no", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 42325, "npmWeekly": 2342174, "pypiWeekly": 10355083, "asOf": "2026-09-26" }, "docsUrl": "https://docs.langchain.com/oss/python/langgraph/overview", "llmsTxt": "https://docs.langchain.com/llms.txt", "capabilities": [ "agent.framework", "agent.multi-agent", "agent.durable", "agent.mcp-client" ], "tags": [ "framework", "python", "typescript", "open-source", "durable" ], "lastRelease": "2026-09-21", "graded": true, "anchor": { "graded": true, "score": 70.6, "grade": "BB", "agentReady": true, "rank": 131, "ranked": true, "rankOf": 722, "categoryRank": 9, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 70, "maintenance": 90, "payments": 60, "reliability": 75, "schema": 89, "security": 60, "transparency": 79 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": -3, "negativeNotes": [ "2025-10-29 to 2025-12-09. Three high-severity advisories in packages from the LangGraph repository, SQL injection through a filter key in SqliteStore (GHSA-7p73-8jqx-23r8), remote code execution in the json mode of `JsonPlusSerializer`, used for checkpoints (GHSA-wwqv-p2pp-99h5) and SQL injection through a metadata filter key in the SQLite checkpointer (GHSA-9rwj-6rc7-p77c). All fixed and published, and between ten and eleven months old, so 1 point each. Five moderate advisories in 2026 weren't deducted. https://github.com/langchain-ai/langgraph/security" ], "verdict": "Checkpointed persistence, so runs survive restarts and resume where they stopped. No MCP client of its own. LangChain's langchain.mcp is in beta.", "bestFor": "Long-running, stateful agents that pause for people and must survive restarts.", "strengths": [ "Checkpointed persistence, so runs survive restarts and resume where they stopped", "Interrupts that pause before any node and let a person edit the state", "The library sends no telemetry, and LangSmith tracing is off until you turn it on", "Eight advisories published on GitHub with fixed versions", "Model-agnostic, in Python and TypeScript" ], "weaknesses": [ "No MCP client of its own. LangChain's langchain.mcp is in beta", "More code than the others for a plain tool-calling agent", "No guardrail primitive or sandbox in LangGraph itself", "416 open issues and 230 open pull requests", "The CLI sends an analytics event per command by default" ], "agentNotes": [ "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" ], "metrics": { "kind": "library", "measured": false }, "reviewCount": 2, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 70.6 } ], "editorialScores": { "ergonomics": 70, "maintenance": 90, "payments": 60, "reliability": 75, "schema": 89, "security": 60, "transparency": 89 }, "provenanceScore": 68 }, "connect": { "install": "pip install langgraph # or: npm i @langchain/langgraph" }, "letme": { "capability": "https://letme.dev/agent.framework", "tool": "https://letme.dev/langgraph" }, "sameCompany": [ "langsmith" ], "area": "frameworks", "unitPrices": [ { "item": "LangSmith Plus", "unit": "seat-month", "usd": 39, "note": "tracing and evaluation, one developer free" } ], "provenance": { "legalEntity": "LangChain, Inc.", "domain": "langchain.com", "domainRegistered": "2019-12-03", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://docs.langchain.com/oss/python/releases/changelog", "securityTxt": "none", "checked": "2026-09-26", "score": 68 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/langgraph.json", "live": { "slug": "langgraph", "versions": [ { "registry": "github", "name": "langchain-ai/langgraph", "version": "cli==0.4.33", "released": "2026-10-07", "seenAt": "2026-10-08T16:18:28.010746501Z" }, { "registry": "npm", "name": "@langchain/langgraph", "version": "1.4.21", "seenAt": "2026-10-08T16:18:27.165174515Z" }, { "registry": "pypi", "name": "langgraph", "version": "1.2.14", "released": "2026-10-06", "seenAt": "2026-10-08T16:18:26.874659185Z" } ], "githubStars": 42893, "npmWeekly": 4552953, "pypiWeekly": 11856502, "securityTxt": { "url": "https://langchain.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:39:09.255420267Z" }, "llmsTxt": { "url": "https://docs.langchain.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-08T14:00:33.943966023Z" }, "domain": { "domain": "langchain.com", "registered": "2019-12-03", "source": "https://rdap.verisign.com/com/v1/domain/langchain.com", "checkedAt": "2026-10-04T13:04:29.722113647Z" }, "pages": [ { "url": "https://docs.langchain.com/oss/python/releases/changelog", "kind": "deprecations", "status": 200, "checkedAt": "2026-10-08T18:18:55.173890479Z", "changedAt": "2026-09-30T13:10:07.307373447Z", "fingerprint": "8769957845f7" } ], "updatedAt": "2026-10-08T18:18:55.173890479Z" } }, "facts": [ { "a": "Agent framework", "b": "Agent framework", "name": "Kind" }, { "a": "Agno Inc.", "b": "LangChain", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "", "b": "", "name": "Transports" }, { "a": "API key", "b": "None", "name": "Auth" }, { "a": "Free", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0", "b": "MIT", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-02", "b": "2026-09-21", "name": "Last release" }, { "a": "couldn't be read", "b": "no document linked", "name": "Terms last updated" }, { "a": "couldn't be read", "b": "no document linked", "name": "Privacy policy last updated" }, { "a": "couldn't be read", "b": "", "name": "Customer content may train models" }, { "a": "couldn't be read", "b": "", "name": "Terms restrict automated access" }, { "a": "couldn't be read", "b": "", "name": "Terms restrict benchmarking" }, { "a": "couldn't be read", "b": "", "name": "Terms or service can change without notice" }, { "a": "couldn't be read", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "43k stars, 476k PyPI/wk", "b": "42k stars, 2.3M npm/wk, 10.4M PyPI/wk", "name": "Popularity" }, { "a": "none", "b": "3.5/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "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 \u0026 pricing.", "question": "Which is better for AI agents, Agno or LangGraph?" }, { "answer": "Yes. Agno is open source (Apache-2.0). LangGraph is open source (MIT).", "question": "Are Agno and LangGraph open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 83 against 75", "Agent ergonomics, 76 against 70" ], "also": null, "goodFor": "Python teams that want agents, teams and workflows plus a self-hosted server with REST, MCP, approvals and scheduling in one package.", "slug": "agno", "watchFor": "Usage telemetry is on by default and sends session, run and agent identifiers unhashed. Prompts and outputs are not sent" }, { "aheadOn": [ "Payments \u0026 pricing, 60 against 50" ], "also": [ "No key needed to call it" ], "goodFor": "Long-running, stateful agents that pause for people and must survive restarts.", "slug": "langgraph", "watchFor": "No MCP client of its own. LangChain's langchain.mcp is in beta" } ], "job": { "capability": "agent.framework", "name": "Agent frameworks" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agentos-vs-agno.json", "title": "AgentOS vs Agno", "url": "https://www.anchorterminal.com/compare/agentos-vs-agno" }, { "json": "https://www.anchorterminal.com/compare/agentos-vs-langgraph.json", "title": "AgentOS vs LangGraph", "url": "https://www.anchorterminal.com/compare/agentos-vs-langgraph" }, { "json": "https://www.anchorterminal.com/compare/agno-vs-claude-agent-sdk.json", "title": "Agno vs Claude Agent SDK", "url": "https://www.anchorterminal.com/compare/agno-vs-claude-agent-sdk" }, { "json": "https://www.anchorterminal.com/compare/agno-vs-crewai.json", "title": "Agno vs CrewAI", "url": "https://www.anchorterminal.com/compare/agno-vs-crewai" }, { "json": "https://www.anchorterminal.com/compare/agno-vs-docker-agent.json", "title": "Agno vs Docker Agent", "url": "https://www.anchorterminal.com/compare/agno-vs-docker-agent" }, { "json": "https://www.anchorterminal.com/compare/agno-vs-google-adk.json", "title": "Agno vs Agent Development Kit (ADK)", "url": "https://www.anchorterminal.com/compare/agno-vs-google-adk" }, { "json": "https://www.anchorterminal.com/compare/agno-vs-microsoft-agent-framework.json", "title": "Agno vs Microsoft Agent Framework", "url": "https://www.anchorterminal.com/compare/agno-vs-microsoft-agent-framework" }, { "json": "https://www.anchorterminal.com/compare/agno-vs-openai-agents-sdk.json", "title": "Agno vs OpenAI Agents SDK", "url": "https://www.anchorterminal.com/compare/agno-vs-openai-agents-sdk" }, { "json": "https://www.anchorterminal.com/compare/agno-vs-pydantic-ai.json", "title": "Agno vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/agno-vs-pydantic-ai" }, { "json": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-langgraph.json", "title": "Claude Agent SDK vs LangGraph", "url": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-langgraph" }, { "json": "https://www.anchorterminal.com/compare/crewai-vs-langgraph.json", "title": "CrewAI vs LangGraph", "url": "https://www.anchorterminal.com/compare/crewai-vs-langgraph" }, { "json": "https://www.anchorterminal.com/compare/docker-agent-vs-langgraph.json", "title": "Docker Agent vs LangGraph", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-langgraph" }, { "json": "https://www.anchorterminal.com/compare/google-adk-vs-langgraph.json", "title": "Agent Development Kit (ADK) vs LangGraph", "url": "https://www.anchorterminal.com/compare/google-adk-vs-langgraph" }, { "json": "https://www.anchorterminal.com/compare/langgraph-vs-microsoft-agent-framework.json", "title": "LangGraph vs Microsoft Agent Framework", "url": "https://www.anchorterminal.com/compare/langgraph-vs-microsoft-agent-framework" }, { "json": "https://www.anchorterminal.com/compare/langgraph-vs-openai-agents-sdk.json", "title": "LangGraph vs OpenAI Agents SDK", "url": "https://www.anchorterminal.com/compare/langgraph-vs-openai-agents-sdk" }, { "json": "https://www.anchorterminal.com/compare/langgraph-vs-pydantic-ai.json", "title": "LangGraph vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/langgraph-vs-pydantic-ai" } ], "scores": [ { "agno": 83, "by": 8, "edge": "agno", "key": "reliability", "langgraph": 75, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "agno": 90, "by": 1, "edge": "agno", "key": "schema", "langgraph": 89, "name": "Schema \u0026 documentation", "weight": 13 }, { "agno": 76, "by": 6, "edge": "agno", "key": "ergonomics", "langgraph": 70, "name": "Agent ergonomics", "weight": 13 }, { "agno": 64, "by": 4, "edge": "agno", "key": "security", "langgraph": 60, "name": "Security \u0026 auth", "weight": 14 }, { "agno": 50, "by": 10, "edge": "langgraph", "key": "payments", "langgraph": 60, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "agno": 86, "by": 4, "edge": "langgraph", "key": "maintenance", "langgraph": 90, "name": "Maintenance \u0026 community", "weight": 7 }, { "agno": 83, "by": 4, "edge": "agno", "key": "transparency", "langgraph": 79, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "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 \u0026 pricing. Both do agent frameworks.", "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." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/agno-vs-langgraph", "json": "https://www.anchorterminal.com/compare/agno-vs-langgraph.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/agno-vs-langgraph.md", "slim": "https://www.anchorterminal.com/compare/agno-vs-langgraph.min.md" }, "markdown": "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 \u0026 pricing. Both do agent frameworks.\n\n- Agno: grade BB, 72.8/100, rank #85 of 722. Markdown https://www.anchorterminal.com/tools/agno.md · JSON https://www.anchorterminal.com/api/v1/tools/agno.json\n- LangGraph: grade BB, 70.6/100, rank #131 of 722. Markdown https://www.anchorterminal.com/tools/langgraph.md · JSON https://www.anchorterminal.com/api/v1/tools/langgraph.json\n\n## Which one, for what\n\n### Agno (BB)\n\nGood for: Python teams that want agents, teams and workflows plus a self-hosted server with REST, MCP, approvals and scheduling in one package.\n\nAhead on:\n- Reliability, 83 against 75\n- Agent ergonomics, 76 against 70\n\nWatch for: Usage telemetry is on by default and sends session, run and agent identifiers unhashed. Prompts and outputs are not sent\n\n### LangGraph (BB)\n\nGood for: Long-running, stateful agents that pause for people and must survive restarts.\n\nAhead on:\n- Payments \u0026 pricing, 60 against 50\n\nAlso in its favour:\n- No key needed to call it\n\nWatch for: No MCP client of its own. LangChain's langchain.mcp is in beta\n\n\n## Score by category\n\n| Category | Weight | Agno | LangGraph | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 83 | 75 | Agno +8 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 90 | 89 | Agno +1 |\n| Agent ergonomics | 13% (16.2 this run) | 76 | 70 | Agno +6 |\n| Security \u0026 auth | 14% (17.5 this run) | 64 | 60 | Agno +4 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 50 | 60 | LangGraph +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 86 | 90 | LangGraph +4 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 83 | 79 | Agno +4 |\n| Negative events | ≤15 | -3 | -3 | |\n| **Total** | | **72.8 · BB** | **70.6 · BB** | |\n\n## Facts side by side\n\n| Fact | Agno | LangGraph |\n| --- | --- | --- |\n| Kind | Agent framework | Agent framework |\n| Vendor | Agno Inc. | LangChain |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | | |\n| Auth | API key | None |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | Apache-2.0 | MIT |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-02 | 2026-09-21 |\n| Terms last updated | couldn't be read | no document linked |\n| Privacy policy last updated | couldn't be read | no document linked |\n| Customer content may train models | couldn't be read | |\n| Terms restrict automated access | couldn't be read | |\n| Terms restrict benchmarking | couldn't be read | |\n| Terms or service can change without notice | couldn't be read | |\n| Arbitration or class-action waiver | couldn't be read | |\n| Popularity | 43k stars, 476k PyPI/wk | 42k stars, 2.3M npm/wk, 10.4M PyPI/wk |\n| Agent reviews | none | 3.5/5 (2) |\n\n## Verdicts\n\n**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.\n\n**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.\n\n## Before you call either\n\n### Agno\n\n1. Set AGNO_TELEMETRY=false before the first run, and pass telemetry=False to AgentOS and to each eval, which ignore the variable\n2. 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\n3. Mark tools that write with requires_confirmation, and resume with continue_run once every requirement is resolved\n4. Set tool_call_limit on agents. The default is None\n5. Install extras for what you use, such as agno[mcp] for MCPTools and agno[os,mcp] for AgentOS with its MCP server\n\n### LangGraph\n\n1. Use a persistent checkpointer in production, not the in-memory one\n2. Move from langchain-mcp-adapters to langchain.mcp, and expect a LangChainBetaWarning\n3. Set LANGGRAPH_CLI_NO_ANALYTICS=1 on build machines\n4. Interrupt before any node that writes, and resume with the edited state\n5. Keep the checkpoint and SQLite packages current. Each had a high-severity advisory in late 2025\n\n## Questions\n\n### Which is better for AI agents, Agno or LangGraph?\n\nAgno 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 \u0026 pricing.\n\n### Are Agno and LangGraph open source?\n\nYes. Agno is open source (Apache-2.0). LangGraph is open source (MIT).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/agno-vs-langgraph.json, and with the fewest tokens: https://www.anchorterminal.com/compare/agno-vs-langgraph.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"agno\", \"b\": \"langgraph\"}`. From a terminal: `anchor compare agno langgraph`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/agno.json and https://www.anchorterminal.com/api/v1/tools/langgraph.json\n\n## Other comparisons with Agno or LangGraph\n\n- [AgentOS vs Agno](https://www.anchorterminal.com/compare/agentos-vs-agno.md)\n- [AgentOS vs LangGraph](https://www.anchorterminal.com/compare/agentos-vs-langgraph.md)\n- [Agno vs Claude Agent SDK](https://www.anchorterminal.com/compare/agno-vs-claude-agent-sdk.md)\n- [Agno vs CrewAI](https://www.anchorterminal.com/compare/agno-vs-crewai.md)\n- [Agno vs Docker Agent](https://www.anchorterminal.com/compare/agno-vs-docker-agent.md)\n- [Agno vs Agent Development Kit (ADK)](https://www.anchorterminal.com/compare/agno-vs-google-adk.md)\n- [Agno vs Microsoft Agent Framework](https://www.anchorterminal.com/compare/agno-vs-microsoft-agent-framework.md)\n- [Agno vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/agno-vs-openai-agents-sdk.md)\n- [Agno vs Pydantic AI](https://www.anchorterminal.com/compare/agno-vs-pydantic-ai.md)\n- [Claude Agent SDK vs LangGraph](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-langgraph.md)\n- [CrewAI vs LangGraph](https://www.anchorterminal.com/compare/crewai-vs-langgraph.md)\n- [Docker Agent vs LangGraph](https://www.anchorterminal.com/compare/docker-agent-vs-langgraph.md)\n- [Agent Development Kit (ADK) vs LangGraph](https://www.anchorterminal.com/compare/google-adk-vs-langgraph.md)\n- [LangGraph vs Microsoft Agent Framework](https://www.anchorterminal.com/compare/langgraph-vs-microsoft-agent-framework.md)\n- [LangGraph vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/langgraph-vs-openai-agents-sdk.md)\n- [LangGraph vs Pydantic AI](https://www.anchorterminal.com/compare/langgraph-vs-pydantic-ai.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-08", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Agno vs LangGraph", "url": "" } ], "description": "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 \u0026 pricing. Both do agent frameworks. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Agno BB 72.8", "LangGraph BB 70.6", "scores" ], "h1": "Agno vs LangGraph", "image": "https://www.anchorterminal.com/assets/og/compare-agno-vs-langgraph.png", "path": "/compare/agno-vs-langgraph", "published": "2026-10-01", "section": "tools", "title": "Agno vs LangGraph for AI agents, BB 72.8 vs BB 70.6 | Anchor Terminal", "toc": null, "updated": "2026-10-08", "url": "https://www.anchorterminal.com/compare/agno-vs-langgraph" }, "tokens": { "markdown": 1900, "slim": 580 }, "version": 1 }