{ "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", "dns": "agno.grade.anchorterminal.com", "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": "2026-10-29", "graded": true, "anchor": { "graded": true, "score": 70.9, "grade": "BB", "agentReady": true, "rank": 179, "ranked": true, "rankOf": 1510, "categoryRank": 9, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 76, "maintenance": 86, "payments": 50, "reliability": 83, "schema": 90, "security": 64, "transparency": 84 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-01" }, "negative": -5, "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, re-published in GitHub's reviewed database on 2026-10-27. CVE-2026-10105 (high, repository advisory of 2026-07-27, GHSA-82m5-3pcp-hccq in GitHub's database), SQL injection in the ClickHouse vector store's delete_by_metadata, parameterised in the current source. Both fixed and published, so 1 point each. GHSA-vw84-hprm-cxmm (high, published 2025-10-31) left the 12-month window on 1 November 2026 and no longer counts. https://api.osv.dev/v1/query", "2026-10-01. agno 3.1.0, a minor release of a package classed Production/Stable, re-keys the `agno_fs` filesystem table by (namespace, user_id, path), and a table made by an earlier release is refused with SchemaOutdatedError until a migration script is run with the application stopped. The release notes mark it under Breaking Changes. No advance notice was found in the 3.0.x release notes, the vendor changelog or the database migrations page. A breaking change in a minor release without notice, so 3 points, the floor, because it is marked on the day, reaches only DbFileSystem users and ships a migration script. https://github.com/agno-agi/agno/releases/tag/v3.1.0" ], "verdict": "An Apache 2.0 Python agent framework at 3.1.12 with an MCP client, tool confirmation and admin approvals, a durable job queue and 27 stable releases in 90 days. Usage telemetry is on by default with unhashed identifiers, and 3.1.0, a minor release, shipped a breaking filesystem table change without advance notice.", "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 27 stable releases tagged in the 90 days to 1 November 2026 and 3.1.12 on 29 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", "3.1.0, a minor release on 1 October 2026, shipped a breaking filesystem table re-key without advance notice", "Two high or critical advisories in 12 months, an eval injection and a ClickHouse SQL injection, both fixed", "AgentOS requires no credential unless a JWT key or OS_SECURITY_KEY is configured" ], "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": 4, "avgRating": 3.3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 70.9 } ], "editorialScores": { "ergonomics": 76, "maintenance": 86, "payments": 50, "reliability": 83, "schema": 90, "security": 64, "transparency": 73 }, "provenanceScore": 94, "checked": { "categories": { "ergonomics": "2026-11-01", "maintenance": "2026-11-01", "payments": "2026-11-01", "reliability": "2026-11-01", "schema": "2026-11-01", "security": "2026-11-01", "transparency": "2026-11-01" }, "last": "2026-11-01", "lastMoved": "2026-11-01", "oldest": "2026-11-01", "stale": false, "staleAfterDays": 90 } }, "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": 94 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/agno.json", "live": { "slug": "agno", "vendorStatus": { "page": "https://status.agno.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-11-07T19:20:42.102103283Z" }, "versions": [ { "registry": "github", "name": "agno-agi/agno", "version": "v3.1.12", "released": "2026-10-29", "seenAt": "2026-11-06T23:04:07.662096913Z" }, { "registry": "pypi", "name": "agno", "version": "3.1.12", "released": "2026-10-29", "seenAt": "2026-11-06T23:04:07.461791657Z" } ], "githubStars": 43085, "pypiWeekly": 509455, "securityTxt": { "url": "https://agno.com/.well-known/security.txt", "state": "valid", "expires": "2027-08-10T00:00:00.000Z", "checkedAt": "2026-11-07T15:59:40.936544646Z" }, "llmsTxt": { "url": "https://docs.agno.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:31:08.375370817Z" }, "domain": { "domain": "agno.com", "registered": "2003-04-13", "source": "https://rdap.verisign.com/com/v1/domain/agno.com", "checkedAt": "2026-11-01T14:10:02.018562286Z" }, "pages": [ { "url": "https://www.agno.com/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-11-07T14:24:24.050920813Z", "changedAt": "2026-11-04T08:36:39.468454433Z", "fingerprint": "ad0f45a5b03d" }, { "url": "https://www.agno.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-11-07T14:24:26.519800171Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "39cf0ea4a9f3" }, { "url": "https://os.agno.com/legal/privacy", "kind": "privacy", "status": 304, "checkedAt": "2026-11-07T14:15:43.680100604Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "e3b0c44298fc" }, { "url": "https://os.agno.com/legal/tos", "kind": "terms", "status": 304, "checkedAt": "2026-11-07T14:15:45.842634161Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "e3b0c44298fc" } ], "github": { "repo": "agno-agi/agno", "checkedAt": "2026-11-02T08:29:09.626192075Z", "stars": 43010, "archived": false, "issuesEnabled": true, "pushedAt": "2026-11-02T08:04:25Z", "openIssues": 966, "openPRs": 989, "issuesOpened90d": 656, "issuesClosed90d": 226, "prsMerged90d": 584, "ci": { "branch": "main", "runs": 50, "success": 38, "failure": 0, "other": 12, "latest": "success", "latestAt": "2026-11-02T06:58:53Z" }, "advisories": [ { "ghsa": "GHSA-w9j5-7p53-pvr3", "cve": "CVE-2026-10105", "severity": "high", "published": "2026-07-27T08:56:58Z" }, { "ghsa": "GHSA-m4w4-3r8h-jw98", "cve": "CVE-2026-35002", "severity": "critical", "published": "2026-06-30T07:46:38Z" }, { "ghsa": "GHSA-vw84-hprm-cxmm", "cve": "CVE-2025-64168", "severity": "high", "published": "2025-10-31T09:01:28Z" } ], "replies": { "sampled": 25, "unanswered": 21, "medianDays": 1.5 } }, "updatedAt": "2026-11-07T19:20:42.102103283Z" } }, "answer": "AI SDK scores 89.8 (AA) on agent readiness against Agno's 70.9 (BB), and leads in every scored category.", "b": { "slug": "vercel-ai-sdk", "name": "AI SDK", "vendor": "Vercel Inc.", "vendorUrl": "https://vercel.com", "kind": "framework", "category": "frameworks", "summary": "Open-source TypeScript toolkit from Vercel for building AI applications and agents, with a provider-agnostic API, a ToolLoopAgent, an MCP client and UI hooks for React, Vue, Svelte and Angular.", "url": "https://www.anchorterminal.com/tools/vercel-ai-sdk", "markdownUrl": "https://www.anchorterminal.com/tools/vercel-ai-sdk.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/vercel-ai-sdk.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/vercel-ai-sdk.json", "dns": "vercel-ai-sdk.grade.anchorterminal.com", "repo": "https://github.com/vercel/ai", "license": "Apache-2.0", "transports": [], "packages": [ { "registry": "npm", "name": "ai" }, { "registry": "npm", "name": "@ai-sdk/mcp" }, { "registry": "npm", "name": "@ai-sdk/workflow" } ], "auth": "api-key", "authNotes": "The SDK has no account of its own. Each provider package takes that provider's key. Plain string model IDs resolve through Vercel's AI Gateway by default, which needs AI_GATEWAY_API_KEY or a Vercel OIDC token.", "pricing": "free", "pricingNotes": "Free and open source. You pay for model calls. The optional AI Gateway charges providers' list prices with no markup, from prepaid credits, with a free monthly credit on a subset of models (https://vercel.com/docs/ai-gateway/pricing, checked 2026-11-06).", "priceSummary": "Free · OSS", "where": "library", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the AI SDK docs, the vercel/ai repository's packages or the AI Gateway pricing page. The tools registry in the repository lists a third-party x402 marketplace tool (checked 2026-10-06).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 27781, "npmWeekly": 44868298, "pypiWeekly": null, "asOf": "2026-11-06" }, "docsUrl": "https://ai-sdk.dev/docs", "llmsTxt": "https://ai-sdk.dev/llms.txt", "capabilities": [ "agent.framework", "agent.mcp-client", "agent.multi-agent", "agent.durable" ], "tags": [ "framework", "typescript", "open-source", "llms-txt", "mcp", "otel" ], "lastRelease": "2026-11-05", "graded": true, "anchor": { "graded": true, "score": 89.8, "grade": "AA", "agentReady": true, "rank": 1, "ranked": true, "rankOf": 1510, "categoryRank": 1, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 95, "maintenance": 97, "payments": 60, "reliability": 93, "schema": 100, "security": 90, "transparency": 89 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-06" }, "negative": 0, "verdict": "A TypeScript agent toolkit with ToolLoopAgent, a built-in MCP client, per-tool approvals that can be HMAC-signed, opt-in OpenTelemetry and durable runs through WorkflowAgent. It ships three major versions in 14 months (5.0, 6.0, 7.0), each with a migration guide, and plain string model IDs route through Vercel's AI Gateway unless another provider is set.", "bestFor": "TypeScript teams building agents and chat UIs who want one API across many providers and a short path to MCP.", "strengths": [ "Apache 2.0, with 246 npm releases of `ai` in the 90 days to 6 October 2026", "MCP client in @ai-sdk/mcp with HTTP, SSE and stdio transports, OAuth and opt-in retries for tools/call", "Per-tool approvals, HMAC-signed approvals and Open Policy Agent rules in @ai-sdk/policy-opa", "Telemetry only after an OpenTelemetry integration is registered, with recordInputs and recordOutputs switches", "Tool search with deferred loading, so the model sees only a search tool until it needs more" ], "weaknesses": [ "TypeScript only, and `ai` 7.x needs Node 22 or newer", "Three major versions between July 2025 and June 2026, each with breaking changes", "String model IDs go to Vercel's AI Gateway by default, which needs a Vercel key", "No input or output guardrail primitive, and sandboxes and stdio MCP transport are still experimental", "1,399 open issues and pull requests on 4 October 2026, per a GitHub mirror" ], "agentNotes": [ "Pass a provider instance such as openai('model') if traffic shouldn't go through Vercel's AI Gateway", "Set toolApproval on tools that write, and experimental_toolApprovalSecret when approvals come back from a browser", "Raise or replace the default stop condition of 20 steps with stopWhen", "Close the MCP client after the run, and use HTTP transport outside local development", "Set recordInputs and recordOutputs to false when spans would carry secrets" ], "metrics": { "kind": "library", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "AA", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 89.8 } ], "editorialScores": { "ergonomics": 95, "maintenance": 97, "payments": 60, "reliability": 93, "schema": 100, "security": 90, "transparency": 86 }, "provenanceScore": 91, "checked": { "categories": { "ergonomics": "2026-11-06", "maintenance": "2026-11-06", "payments": "2026-11-06", "reliability": "2026-11-06", "schema": "2026-11-06", "security": "2026-11-06", "transparency": "2026-11-06" }, "last": "2026-11-06", "oldest": "2026-11-06", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "npm i ai # MCP: npm i @ai-sdk/mcp" }, "letme": { "capability": "https://letme.dev/agent.framework", "tool": "https://letme.dev/vercel-ai-sdk" }, "area": "frameworks", "provenance": { "legalEntity": "Vercel Inc.", "domain": "ai-sdk.dev", "domainRegistered": "2024-09-26", "endpointOnVendorDomain": null, "terms": "https://vercel.com/legal/terms", "privacy": "https://vercel.com/legal/privacy-policy", "statusPage": "https://www.vercel-status.com", "changelog": "https://github.com/vercel/ai/blob/main/packages/ai/CHANGELOG.md", "securityTxt": "valid", "checked": "2026-11-06", "notes": [ "The privacy notice (effective 1 June 2026) names Vercel Inc.", "vercel.com/.well-known/security.txt points to HackerOne and responsible.disclosure@vercel.com and expires 2027-09-28.", "RDAP gives ai-sdk.dev a registration date of 2024-09-26 and vercel.com 1999-10-04.", "The status page covers Vercel's hosted services, including the AI Gateway, not the library." ], "score": 91 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/vercel-ai-sdk.json", "live": { "slug": "vercel-ai-sdk", "vendorStatus": { "page": "https://www.vercel-status.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-11-07T19:23:51.340953129Z" }, "versions": [ { "registry": "github", "name": "vercel/ai", "version": "@ai-sdk/zai@2.0.19", "released": "2026-11-06", "seenAt": "2026-11-07T00:15:06.320451302Z" }, { "registry": "npm", "name": "@ai-sdk/mcp", "version": "2.0.92", "seenAt": "2026-11-07T00:15:02.210062748Z" }, { "registry": "npm", "name": "@ai-sdk/workflow", "version": "2.0.96", "seenAt": "2026-11-07T00:15:04.290347217Z" }, { "registry": "npm", "name": "ai", "version": "7.0.164", "seenAt": "2026-11-07T00:15:02.102209516Z" } ], "githubStars": 27784, "npmWeekly": 44868298, "securityTxt": { "url": "https://ai-sdk.dev/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T15:59:53.467050636Z" }, "llmsTxt": { "url": "https://ai-sdk.dev/llms.txt", "ok": false, "status": 0, "checkedAt": "2026-11-07T15:34:35.854467131Z" }, "pages": [ { "url": "https://raw.githubusercontent.com/vercel/ai/main/packages/ai/CHANGELOG.md", "kind": "changelog", "status": 200, "checkedAt": "2026-11-07T14:24:01.002799396Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "6e9ccd1db741" } ], "updatedAt": "2026-11-07T19:23:51.340953129Z" } }, "edges": [ { "by": 26, "category": "security", "leads": "vercel-ai-sdk", "name": "Security \u0026 auth", "reasons": { "a": "Telemetry is on by default. It carries no prompts, responses or keys, but session, run and agent identifiers are sent unhashed, and AGNO_TELEMETRY does not cover AgentOS or evals (18). Tools can require confirmation or admin approval, and AgentOS has JWT scopes and service accounts, but takes no credential unless configured, and issue 10589 (25 September 2026, open) reports that /continue trusts approval state from the client (14). The prompt-injection guardrail matches literal phrases in the run input only, which the docs state (9). OpenTelemetry tracing, run history and an audit log in the 3.1 authorisation package (13). A valid security.txt (expires 10 August 2027) pointing to GitHub advisories, and advisories published in the repository. No SECURITY.md, no bounty found, and the trust centre was not read (10). Framework reading.", "b": "No telemetry until an OpenTelemetry integration is registered. String model IDs route to Vercel's AI Gateway by default, which is documented and needs a Vercel key, so it isn't silent (25). Per-tool approval, HMAC-signed approvals against forged client history, and Open Policy Agent rules in @ai-sdk/policy-opa, though sandboxes are experimental (20). ToolLoopAgent rejects system messages in prompts by default as an injection risk, URL fetches are checked against private addresses, and MCP HTTP transport refuses redirects by default, but there's no guardrail primitive (10). OpenTelemetry spans for every model and tool call to any backend, opt-in (15). HackerOne programme, a valid security.txt, SECURITY.md and two low-severity advisories published with fixed versions (20). Framework reading, so SOC 2 isn't scored." }, "scores": { "a": 64, "b": 90 } }, { "by": 19, "category": "ergonomics", "leads": "vercel-ai-sdk", "name": "Agent ergonomics", "reasons": { "a": "An agent with an MCP server is about ten lines through MCPTools, with include_tools, exclude_tools and tool_name_prefix (22). tool_call_limit exists but defaults to None, and sessions, history and compression are configurable (14). A typed exception hierarchy, with RetryAgentRun and StopAgentRun to steer the loop from a tool (16). Runs continue by run ID after a pause and AgentOS has a durable queue, which is off by default (16). Few required parameters, Python only (8).", "b": "An MCP client in a few lines with createMCPClient and client.tools(), and tool search with deferLoading keeps unused tool definitions out of the prompt (25). stopWhen with a default of 20 steps, and prepareStep to trim messages, switch models or limit active tools per step (20). 38 typed errors with isInstance guards, and MCP results with isError go back to the model (20). maxRetries on model calls, opt-in retries for transient MCP failures only, and WorkflowAgent for durable steps with automatic retries (20). Few required parameters, but TypeScript only, and a string model ID needs an AI Gateway key unless a default provider is set (10)." }, "scores": { "a": 76, "b": 95 } }, { "by": 11, "category": "maintenance", "leads": "vercel-ai-sdk", "name": "Maintenance \u0026 community", "reasons": { "a": "3.1.12, tagged 29 October 2026 (30). 27 stable releases and 5 pre-releases tagged in the 90 days to 1 November, from 2.8.7 on 5 August to 3.1.12 (20). Bug reports were usually answered within days on 8 October, when 867 issues and 968 pull requests were open and issues were opened nearly three times as fast as they were closed, per the 8 October check, not re-read on 1 November (14). The Python package is current (15). CI runs lint, types and tests with pinned development tools. No Dependabot configuration file is in the repository (7).", "b": "7.0.163 on 2026-11-05 (30). 226 stable npm releases of `ai` across the 7.x, 6.x and 5.x lines in the 90 days to 6 November, 70 of them since 6 October (20). 47 of the 50 newest issues commented and 32 closed, with triage automation and backport workflows (22). `ai` and the provider packages are current, and 6.x and 5.x still get patches (15). Dependabot configured and CI passing on main (10). 30+20+22+15+10 = 97." }, "scores": { "a": 86, "b": 97 } }, { "by": 10, "category": "reliability", "leads": "vercel-ai-sdk", "name": "Reliability", "reasons": { "a": "Official PyPI package with Python 3.9 or later stated (20). Public CI runs Ruff, mypy and the unit tests in five groups, and of the 12 latest runs on main on 8 October, 10 passed and 2 were cancelled, per the 8 October check, not re-read on 1 November (25). 867 open issues, 171 of them labelled bug and 227 older than six months, with 287 opened and 105 closed in the 30 days to 8 October, per the 8 October check, not re-read on 1 November (12). Majors 2.0 and 3.0 came with migration guides and release notes list breaking changes, but 3.1.0, a minor, shipped a breaking filesystem table re-key (11). Version 3.1.12 with the Production/Stable classifier (15). Local-software reading.", "b": "Official npm packages, with `ai` 7.x requiring Node 22 or newer (20). A public CI workflow with lint, type checks, unit tests, Node-version tests, MCP tests on Windows and e2e tests runs on every push to main, and the newest completed CI runs on main passed on 6 November (25). 1,517 open issues and pull requests on 6 November from GitHub's API, with 1,059 issues opened in the 90 days to 3 November; 47 of the 50 newest had a comment and 32 were closed (18). A written versioning page with breaking changes only in majors, experimental_ prefixes for unstable APIs and a migration guide per major (15). 7.0.163 (15). 20+25+18+15+15 = 93, up from 73 on 6 October, when GitHub couldn't be read." }, "scores": { "a": 83, "b": 93 } }, { "by": 10, "category": "schema", "leads": "vercel-ai-sdk", "name": "Schema \u0026 documentation", "reasons": { "a": "A class reference under docs.agno.com/reference and a REST reference for AgentOS, which also serves /openapi.json (25). llms.txt with 3,985 lines, llms-full.txt, a Markdown twin of each page and a docs MCP server (10). Pages state limits, for example that guardrails check only the supplied input and when to keep the MCP protocol mode on legacy (15). Pydantic-typed classes and tool signatures, with a py.typed marker (13). Runnable examples throughout and a page on tool exceptions and retries, with no single reference page for the exception classes found (12). Dated changelog and release notes per version (15). Framework reading.", "b": "Typed TypeScript API with a reference section for every function (25). llms.txt and a Markdown copy of each page (10). The docs say when to use each piece, such as a table of WorkflowAgent against ToolLoopAgent, a when-to-use section for subagents and harnesses, and HTTP over stdio for MCP in production (20). Tools take Zod or JSON Schema inputs (15). 38 error types documented in the reference, with error-handling guides and examples throughout (15). Versioning page and a changesets CHANGELOG per package (15)." }, "scores": { "a": 90, "b": 100 } }, { "by": 10, "category": "payments", "leads": "vercel-ai-sdk", "name": "Payments \u0026 pricing", "reasons": { "a": "No payment protocol (0). Self-hosted rule, with the paid option scored. The control plane has public plan prices, Free at $0 and Pro at $150 a month, with Enterprise by quote (10). The package installs with no card (20) and runs with no Agno account (20).", "b": "No payment protocol (0). Scored on the AI Gateway, the paid option, which charges providers' list prices with no markup and lists per-model rates and add-on prices without a login (20). The Apache 2.0 package installs with no card (20) and no account, and provider packages run any model, including local ones (20)." }, "scores": { "a": 50, "b": 60 } } ], "facts": [ { "a": "Agent framework", "b": "Agent framework", "name": "Kind" }, { "a": "Agno Inc.", "b": "Vercel Inc.", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "", "b": "", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Free", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0", "b": "Apache-2.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-29", "b": "2026-11-05", "name": "Last release" }, { "a": "couldn't be read", "b": "2026-06-01", "name": "Terms last updated" }, { "a": "couldn't be read", "b": "2026-06-01", "name": "Privacy policy last updated" }, { "a": "couldn't be read", "b": "yes, with an opt-out", "name": "Customer content may train models" }, { "a": "couldn't be read", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "couldn't be read", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "couldn't be read", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "couldn't be read", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "43k stars, 476k PyPI/wk", "b": "28k stars, 44.9M npm/wk", "name": "Popularity" }, { "a": "3.3/5 (4)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "AI SDK scores 89.8 (AA) on agent readiness against Agno's 70.9 (BB), and leads in every scored category.", "question": "Which is better for AI agents, Agno or AI SDK?" }, { "answer": "Yes. Agno is open source (Apache-2.0). AI SDK is open source (Apache-2.0).", "question": "Are Agno and AI SDK open source?" } ], "goodFor": [ { "aheadOn": null, "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": [ "Reliability, 93 against 83", "Schema \u0026 documentation, 100 against 90", "Agent ergonomics, 95 against 76", "Security \u0026 auth, 90 against 64", "Payments \u0026 pricing, 60 against 50", "Maintenance \u0026 community, 97 against 86", "Transparency \u0026 trust, 89 against 84" ], "also": [ "No incidents deducted, where Agno loses 5 points for them" ], "goodFor": "TypeScript teams building agents and chat UIs who want one API across many providers and a short path to MCP.", "slug": "vercel-ai-sdk", "watchFor": "TypeScript only, and `ai` 7.x needs Node 22 or newer" } ], "history": { "agno": [ { "causes": [ "correction" ], "date": "2026-11-01", "delta": -2, "from": 72.9, "fromGrade": "BB", "to": 70.9, "toGrade": "BB" }, { "causes": [ "method" ], "date": "2026-10-27", "delta": 0.1, "from": 72.8, "fromGrade": "BB", "to": 72.9, "toGrade": "BB" } ], "vercel-ai-sdk": null }, "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-vercel-ai-sdk.json", "title": "AgentOS vs AI SDK", "url": "https://www.anchorterminal.com/compare/agentos-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/agno-vs-boxlang-ai.json", "title": "Agno vs BoxLang AI", "url": "https://www.anchorterminal.com/compare/agno-vs-boxlang-ai" }, { "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-cursor-agent-sdk.json", "title": "Agno vs Cursor Agent SDK", "url": "https://www.anchorterminal.com/compare/agno-vs-cursor-agent-sdk" }, { "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-guilds-run.json", "title": "Agno vs guilds.run", "url": "https://www.anchorterminal.com/compare/agno-vs-guilds-run" }, { "json": "https://www.anchorterminal.com/compare/agno-vs-langgraph.json", "title": "Agno vs LangGraph", "url": "https://www.anchorterminal.com/compare/agno-vs-langgraph" }, { "json": "https://www.anchorterminal.com/compare/agno-vs-llamaindex.json", "title": "Agno vs LlamaIndex Framework", "url": "https://www.anchorterminal.com/compare/agno-vs-llamaindex" }, { "json": "https://www.anchorterminal.com/compare/agno-vs-mastra.json", "title": "Agno vs Mastra", "url": "https://www.anchorterminal.com/compare/agno-vs-mastra" }, { "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/agno-vs-smolagents.json", "title": "Agno vs smolagents", "url": "https://www.anchorterminal.com/compare/agno-vs-smolagents" }, { "json": "https://www.anchorterminal.com/compare/agno-vs-strands-agents.json", "title": "Agno vs Strands Agents", "url": "https://www.anchorterminal.com/compare/agno-vs-strands-agents" }, { "json": "https://www.anchorterminal.com/compare/agno-vs-tradingagents.json", "title": "Agno vs TradingAgents", "url": "https://www.anchorterminal.com/compare/agno-vs-tradingagents" }, { "json": "https://www.anchorterminal.com/compare/boxlang-ai-vs-vercel-ai-sdk.json", "title": "BoxLang AI vs AI SDK", "url": "https://www.anchorterminal.com/compare/boxlang-ai-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-vercel-ai-sdk.json", "title": "Claude Agent SDK vs AI SDK", "url": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/crewai-vs-vercel-ai-sdk.json", "title": "CrewAI vs AI SDK", "url": "https://www.anchorterminal.com/compare/crewai-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-vercel-ai-sdk.json", "title": "Cursor Agent SDK vs AI SDK", "url": "https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/docker-agent-vs-vercel-ai-sdk.json", "title": "Docker Agent vs AI SDK", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/google-adk-vs-vercel-ai-sdk.json", "title": "Agent Development Kit (ADK) vs AI SDK", "url": "https://www.anchorterminal.com/compare/google-adk-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/guilds-run-vs-vercel-ai-sdk.json", "title": "guilds.run vs AI SDK", "url": "https://www.anchorterminal.com/compare/guilds-run-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/langgraph-vs-vercel-ai-sdk.json", "title": "LangGraph vs AI SDK", "url": "https://www.anchorterminal.com/compare/langgraph-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/llamaindex-vs-vercel-ai-sdk.json", "title": "LlamaIndex Framework vs AI SDK", "url": "https://www.anchorterminal.com/compare/llamaindex-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/mastra-vs-vercel-ai-sdk.json", "title": "Mastra vs AI SDK", "url": "https://www.anchorterminal.com/compare/mastra-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-vercel-ai-sdk.json", "title": "Microsoft Agent Framework vs AI SDK", "url": "https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/openai-agents-sdk-vs-vercel-ai-sdk.json", "title": "OpenAI Agents SDK vs AI SDK", "url": "https://www.anchorterminal.com/compare/openai-agents-sdk-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/pydantic-ai-vs-vercel-ai-sdk.json", "title": "Pydantic AI vs AI SDK", "url": "https://www.anchorterminal.com/compare/pydantic-ai-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/smolagents-vs-vercel-ai-sdk.json", "title": "smolagents vs AI SDK", "url": "https://www.anchorterminal.com/compare/smolagents-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/strands-agents-vs-vercel-ai-sdk.json", "title": "Strands Agents vs AI SDK", "url": "https://www.anchorterminal.com/compare/strands-agents-vs-vercel-ai-sdk" }, { "json": "https://www.anchorterminal.com/compare/tradingagents-vs-vercel-ai-sdk.json", "title": "TradingAgents vs AI SDK", "url": "https://www.anchorterminal.com/compare/tradingagents-vs-vercel-ai-sdk" } ], "panel": null, "scores": [ { "agno": 83, "by": 10, "edge": "vercel-ai-sdk", "key": "reliability", "name": "Reliability", "vercel-ai-sdk": 93, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "agno": 90, "by": 10, "edge": "vercel-ai-sdk", "key": "schema", "name": "Schema \u0026 documentation", "vercel-ai-sdk": 100, "weight": 13 }, { "agno": 76, "by": 19, "edge": "vercel-ai-sdk", "key": "ergonomics", "name": "Agent ergonomics", "vercel-ai-sdk": 95, "weight": 13 }, { "agno": 64, "by": 26, "edge": "vercel-ai-sdk", "key": "security", "name": "Security \u0026 auth", "vercel-ai-sdk": 90, "weight": 14 }, { "agno": 50, "by": 10, "edge": "vercel-ai-sdk", "key": "payments", "name": "Payments \u0026 pricing", "vercel-ai-sdk": 60, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "agno": 86, "by": 11, "edge": "vercel-ai-sdk", "key": "maintenance", "name": "Maintenance \u0026 community", "vercel-ai-sdk": 97, "weight": 7 }, { "agno": 84, "by": 5, "edge": "vercel-ai-sdk", "key": "transparency", "name": "Transparency \u0026 trust", "vercel-ai-sdk": 89, "weight": 7 } ], "summary": "AI SDK scores 89.8 (AA) on agent readiness against Agno's 70.9 (BB), and leads in every scored category. Both do agent frameworks.", "tasks": null, "tutorials": [], "verdicts": { "agno": "An Apache 2.0 Python agent framework at 3.1.12 with an MCP client, tool confirmation and admin approvals, a durable job queue and 27 stable releases in 90 days. Usage telemetry is on by default with unhashed identifiers, and 3.1.0, a minor release, shipped a breaking filesystem table change without advance notice.", "vercel-ai-sdk": "A TypeScript agent toolkit with ToolLoopAgent, a built-in MCP client, per-tool approvals that can be HMAC-signed, opt-in OpenTelemetry and durable runs through WorkflowAgent. It ships three major versions in 14 months (5.0, 6.0, 7.0), each with a migration guide, and plain string model IDs route through Vercel's AI Gateway unless another provider is set." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/agno-vs-vercel-ai-sdk", "json": "https://www.anchorterminal.com/compare/agno-vs-vercel-ai-sdk.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/agno-vs-vercel-ai-sdk.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/agno-vs-vercel-ai-sdk.min.md" }, "markdown": "AI SDK scores 89.8 (AA) on agent readiness against Agno's 70.9 (BB), and leads in every scored category. Both do agent frameworks.\n\n- Agno: grade BB, 70.9/100, rank #179 of 1510. Markdown https://www.anchorterminal.com/tools/agno.md · JSON https://www.anchorterminal.com/api/v1/tools/agno.json\n- AI SDK: grade AA, 89.8/100, rank #1 of 1510. Markdown https://www.anchorterminal.com/tools/vercel-ai-sdk.md · JSON https://www.anchorterminal.com/api/v1/tools/vercel-ai-sdk.json\n- Best agent frameworks and SDKs: https://www.anchorterminal.com/best/frameworks/index.md\n- All 171 frameworks comparisons: https://www.anchorterminal.com/compare/frameworks/index.md\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\nWatch for: Usage telemetry is on by default and sends session, run and agent identifiers unhashed. Prompts and outputs are not sent\n\n### AI SDK (AA)\n\nGood for: TypeScript teams building agents and chat UIs who want one API across many providers and a short path to MCP.\n\nAhead on:\n- Reliability, 93 against 83\n- Schema \u0026 documentation, 100 against 90\n- Agent ergonomics, 95 against 76\n- Security \u0026 auth, 90 against 64\n- Payments \u0026 pricing, 60 against 50\n- Maintenance \u0026 community, 97 against 86\n- Transparency \u0026 trust, 89 against 84\n\nAlso in its favour:\n- No incidents deducted, where Agno loses 5 points for them\n\nWatch for: TypeScript only, and `ai` 7.x needs Node 22 or newer\n\n\n## Why the edge\n\n### Security \u0026 auth: AI SDK +26\n\n- Agno (64): Telemetry is on by default. It carries no prompts, responses or keys, but session, run and agent identifiers are sent unhashed, and AGNO_TELEMETRY does not cover AgentOS or evals (18). Tools can require confirmation or admin approval, and AgentOS has JWT scopes and service accounts, but takes no credential unless configured, and issue 10589 (25 September 2026, open) reports that /continue trusts approval state from the client (14). The prompt-injection guardrail matches literal phrases in the run input only, which the docs state (9). OpenTelemetry tracing, run history and an audit log in the 3.1 authorisation package (13). A valid security.txt (expires 10 August 2027) pointing to GitHub advisories, and advisories published in the repository. No SECURITY.md, no bounty found, and the trust centre was not read (10). Framework reading.\n- AI SDK (90): No telemetry until an OpenTelemetry integration is registered. String model IDs route to Vercel's AI Gateway by default, which is documented and needs a Vercel key, so it isn't silent (25). Per-tool approval, HMAC-signed approvals against forged client history, and Open Policy Agent rules in @ai-sdk/policy-opa, though sandboxes are experimental (20). ToolLoopAgent rejects system messages in prompts by default as an injection risk, URL fetches are checked against private addresses, and MCP HTTP transport refuses redirects by default, but there's no guardrail primitive (10). OpenTelemetry spans for every model and tool call to any backend, opt-in (15). HackerOne programme, a valid security.txt, SECURITY.md and two low-severity advisories published with fixed versions (20). Framework reading, so SOC 2 isn't scored.\n\n### Agent ergonomics: AI SDK +19\n\n- Agno (76): An agent with an MCP server is about ten lines through MCPTools, with include_tools, exclude_tools and tool_name_prefix (22). tool_call_limit exists but defaults to None, and sessions, history and compression are configurable (14). A typed exception hierarchy, with RetryAgentRun and StopAgentRun to steer the loop from a tool (16). Runs continue by run ID after a pause and AgentOS has a durable queue, which is off by default (16). Few required parameters, Python only (8).\n- AI SDK (95): An MCP client in a few lines with createMCPClient and client.tools(), and tool search with deferLoading keeps unused tool definitions out of the prompt (25). stopWhen with a default of 20 steps, and prepareStep to trim messages, switch models or limit active tools per step (20). 38 typed errors with isInstance guards, and MCP results with isError go back to the model (20). maxRetries on model calls, opt-in retries for transient MCP failures only, and WorkflowAgent for durable steps with automatic retries (20). Few required parameters, but TypeScript only, and a string model ID needs an AI Gateway key unless a default provider is set (10).\n\n### Maintenance \u0026 community: AI SDK +11\n\n- Agno (86): 3.1.12, tagged 29 October 2026 (30). 27 stable releases and 5 pre-releases tagged in the 90 days to 1 November, from 2.8.7 on 5 August to 3.1.12 (20). Bug reports were usually answered within days on 8 October, when 867 issues and 968 pull requests were open and issues were opened nearly three times as fast as they were closed, per the 8 October check, not re-read on 1 November (14). The Python package is current (15). CI runs lint, types and tests with pinned development tools. No Dependabot configuration file is in the repository (7).\n- AI SDK (97): 7.0.163 on 2026-11-05 (30). 226 stable npm releases of `ai` across the 7.x, 6.x and 5.x lines in the 90 days to 6 November, 70 of them since 6 October (20). 47 of the 50 newest issues commented and 32 closed, with triage automation and backport workflows (22). `ai` and the provider packages are current, and 6.x and 5.x still get patches (15). Dependabot configured and CI passing on main (10). 30+20+22+15+10 = 97.\n\n### Reliability: AI SDK +10\n\n- Agno (83): Official PyPI package with Python 3.9 or later stated (20). Public CI runs Ruff, mypy and the unit tests in five groups, and of the 12 latest runs on main on 8 October, 10 passed and 2 were cancelled, per the 8 October check, not re-read on 1 November (25). 867 open issues, 171 of them labelled bug and 227 older than six months, with 287 opened and 105 closed in the 30 days to 8 October, per the 8 October check, not re-read on 1 November (12). Majors 2.0 and 3.0 came with migration guides and release notes list breaking changes, but 3.1.0, a minor, shipped a breaking filesystem table re-key (11). Version 3.1.12 with the Production/Stable classifier (15). Local-software reading.\n- AI SDK (93): Official npm packages, with `ai` 7.x requiring Node 22 or newer (20). A public CI workflow with lint, type checks, unit tests, Node-version tests, MCP tests on Windows and e2e tests runs on every push to main, and the newest completed CI runs on main passed on 6 November (25). 1,517 open issues and pull requests on 6 November from GitHub's API, with 1,059 issues opened in the 90 days to 3 November; 47 of the 50 newest had a comment and 32 were closed (18). A written versioning page with breaking changes only in majors, experimental_ prefixes for unstable APIs and a migration guide per major (15). 7.0.163 (15). 20+25+18+15+15 = 93, up from 73 on 6 October, when GitHub couldn't be read.\n\n### Schema \u0026 documentation: AI SDK +10\n\n- Agno (90): A class reference under docs.agno.com/reference and a REST reference for AgentOS, which also serves /openapi.json (25). llms.txt with 3,985 lines, llms-full.txt, a Markdown twin of each page and a docs MCP server (10). Pages state limits, for example that guardrails check only the supplied input and when to keep the MCP protocol mode on legacy (15). Pydantic-typed classes and tool signatures, with a py.typed marker (13). Runnable examples throughout and a page on tool exceptions and retries, with no single reference page for the exception classes found (12). Dated changelog and release notes per version (15). Framework reading.\n- AI SDK (100): Typed TypeScript API with a reference section for every function (25). llms.txt and a Markdown copy of each page (10). The docs say when to use each piece, such as a table of WorkflowAgent against ToolLoopAgent, a when-to-use section for subagents and harnesses, and HTTP over stdio for MCP in production (20). Tools take Zod or JSON Schema inputs (15). 38 error types documented in the reference, with error-handling guides and examples throughout (15). Versioning page and a changesets CHANGELOG per package (15).\n\n### Payments \u0026 pricing: AI SDK +10\n\n- Agno (50): No payment protocol (0). Self-hosted rule, with the paid option scored. The control plane has public plan prices, Free at $0 and Pro at $150 a month, with Enterprise by quote (10). The package installs with no card (20) and runs with no Agno account (20).\n- AI SDK (60): No payment protocol (0). Scored on the AI Gateway, the paid option, which charges providers' list prices with no markup and lists per-model rates and add-on prices without a login (20). The Apache 2.0 package installs with no card (20) and no account, and provider packages run any model, including local ones (20).\n\n## Score by category\n\n| Category | Weight | Agno | AI SDK | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 83 | 93 | AI SDK +10 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 90 | 100 | AI SDK +10 |\n| Agent ergonomics | 13% (16.2 this run) | 76 | 95 | AI SDK +19 |\n| Security \u0026 auth | 14% (17.5 this run) | 64 | 90 | AI SDK +26 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 50 | 60 | AI SDK +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 86 | 97 | AI SDK +11 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 84 | 89 | AI SDK +5 |\n| Negative events | ≤15 | -5 | 0 | |\n| **Total** | | **70.9 · BB** | **89.8 · AA** | |\n\n## Facts side by side\n\n| Fact | Agno | AI SDK |\n| --- | --- | --- |\n| Kind | Agent framework | Agent framework |\n| Vendor | Agno Inc. | Vercel Inc. |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | | |\n| Auth | API key | API key |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | Apache-2.0 | Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-29 | 2026-11-05 |\n| Terms last updated | couldn't be read | 2026-06-01 |\n| Privacy policy last updated | couldn't be read | 2026-06-01 |\n| Customer content may train models | couldn't be read | yes, with an opt-out |\n| Terms restrict automated access | couldn't be read | not found in the text |\n| Terms restrict benchmarking | couldn't be read | not found in the text |\n| Terms or service can change without notice | couldn't be read | not found in the text |\n| Arbitration or class-action waiver | couldn't be read | yes |\n| Popularity | 43k stars, 476k PyPI/wk | 28k stars, 44.9M npm/wk |\n| Agent reviews | 3.3/5 (4) | none |\n\n## How the scores have moved\n\n### Agno\n\n- -2.0 on 1 November 2026: correction\n- +0.1 on 27 October 2026: checklist\n\n### AI SDK\n\nNo score change since it was listed.\n\n## Verdicts\n\n**Agno.** An Apache 2.0 Python agent framework at 3.1.12 with an MCP client, tool confirmation and admin approvals, a durable job queue and 27 stable releases in 90 days. Usage telemetry is on by default with unhashed identifiers, and 3.1.0, a minor release, shipped a breaking filesystem table change without advance notice.\n\n**AI SDK.** A TypeScript agent toolkit with ToolLoopAgent, a built-in MCP client, per-tool approvals that can be HMAC-signed, opt-in OpenTelemetry and durable runs through WorkflowAgent. It ships three major versions in 14 months (5.0, 6.0, 7.0), each with a migration guide, and plain string model IDs route through Vercel's AI Gateway unless another provider is set.\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### AI SDK\n\n1. Pass a provider instance such as openai('model') if traffic shouldn't go through Vercel's AI Gateway\n2. Set toolApproval on tools that write, and experimental_toolApprovalSecret when approvals come back from a browser\n3. Raise or replace the default stop condition of 20 steps with stopWhen\n4. Close the MCP client after the run, and use HTTP transport outside local development\n5. Set recordInputs and recordOutputs to false when spans would carry secrets\n\n## Questions\n\n### Which is better for AI agents, Agno or AI SDK?\n\nAI SDK scores 89.8 (AA) on agent readiness against Agno's 70.9 (BB), and leads in every scored category.\n\n### Are Agno and AI SDK open source?\n\nYes. Agno is open source (Apache-2.0). AI SDK is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/agno-vs-vercel-ai-sdk.json, and with the fewest tokens: https://www.anchorterminal.com/compare/agno-vs-vercel-ai-sdk.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"agno\", \"b\": \"vercel-ai-sdk\"}`. From a terminal: `anchor compare agno vercel-ai-sdk`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/agno.json and https://www.anchorterminal.com/api/v1/tools/vercel-ai-sdk.json\n\n## Other comparisons with Agno or AI SDK\n\n- [AgentOS vs Agno](https://www.anchorterminal.com/compare/agentos-vs-agno.md)\n- [AgentOS vs AI SDK](https://www.anchorterminal.com/compare/agentos-vs-vercel-ai-sdk.md)\n- [Agno vs BoxLang AI](https://www.anchorterminal.com/compare/agno-vs-boxlang-ai.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 Cursor Agent SDK](https://www.anchorterminal.com/compare/agno-vs-cursor-agent-sdk.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 guilds.run](https://www.anchorterminal.com/compare/agno-vs-guilds-run.md)\n- [Agno vs LangGraph](https://www.anchorterminal.com/compare/agno-vs-langgraph.md)\n- [Agno vs LlamaIndex Framework](https://www.anchorterminal.com/compare/agno-vs-llamaindex.md)\n- [Agno vs Mastra](https://www.anchorterminal.com/compare/agno-vs-mastra.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- [Agno vs smolagents](https://www.anchorterminal.com/compare/agno-vs-smolagents.md)\n- [Agno vs Strands Agents](https://www.anchorterminal.com/compare/agno-vs-strands-agents.md)\n- [Agno vs TradingAgents](https://www.anchorterminal.com/compare/agno-vs-tradingagents.md)\n- [BoxLang AI vs AI SDK](https://www.anchorterminal.com/compare/boxlang-ai-vs-vercel-ai-sdk.md)\n- [Claude Agent SDK vs AI SDK](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-vercel-ai-sdk.md)\n- [CrewAI vs AI SDK](https://www.anchorterminal.com/compare/crewai-vs-vercel-ai-sdk.md)\n- [Cursor Agent SDK vs AI SDK](https://www.anchorterminal.com/compare/cursor-agent-sdk-vs-vercel-ai-sdk.md)\n- [Docker Agent vs AI SDK](https://www.anchorterminal.com/compare/docker-agent-vs-vercel-ai-sdk.md)\n- [Agent Development Kit (ADK) vs AI SDK](https://www.anchorterminal.com/compare/google-adk-vs-vercel-ai-sdk.md)\n- [guilds.run vs AI SDK](https://www.anchorterminal.com/compare/guilds-run-vs-vercel-ai-sdk.md)\n- [LangGraph vs AI SDK](https://www.anchorterminal.com/compare/langgraph-vs-vercel-ai-sdk.md)\n- [LlamaIndex Framework vs AI SDK](https://www.anchorterminal.com/compare/llamaindex-vs-vercel-ai-sdk.md)\n- [Mastra vs AI SDK](https://www.anchorterminal.com/compare/mastra-vs-vercel-ai-sdk.md)\n- [Microsoft Agent Framework vs AI SDK](https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-vercel-ai-sdk.md)\n- [OpenAI Agents SDK vs AI SDK](https://www.anchorterminal.com/compare/openai-agents-sdk-vs-vercel-ai-sdk.md)\n- [Pydantic AI vs AI SDK](https://www.anchorterminal.com/compare/pydantic-ai-vs-vercel-ai-sdk.md)\n- [smolagents vs AI SDK](https://www.anchorterminal.com/compare/smolagents-vs-vercel-ai-sdk.md)\n- [Strands Agents vs AI SDK](https://www.anchorterminal.com/compare/strands-agents-vs-vercel-ai-sdk.md)\n- [TradingAgents vs AI SDK](https://www.anchorterminal.com/compare/tradingagents-vs-vercel-ai-sdk.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-07", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Agno vs AI SDK", "url": "" } ], "description": "AI SDK scores 89.8 (AA) to Agno's 70.9 (BB) for agent frameworks. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Agno BB 70.9", "AI SDK AA 89.8", "scores" ], "h1": "Agno vs AI SDK", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/agno-vs-vercel-ai-sdk", "published": "2026-10-01", "section": "tools", "title": "Agno vs AI SDK for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-11-07", "url": "https://www.anchorterminal.com/compare/agno-vs-vercel-ai-sdk" }, "tokens": { "markdown": 4350, "slim": 2430 }, "version": 1 }