# Agno vs AI SDK (slim)

> 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.

- Full: https://www.anchorterminal.com/compare/agno-vs-vercel-ai-sdk.md (~4,350 tokens) · this version ~2,430 tokens · JSON https://www.anchorterminal.com/compare/agno-vs-vercel-ai-sdk.json · canonical https://www.anchorterminal.com/compare/agno-vs-vercel-ai-sdk
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-07
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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.

- Agno: BB 70.9, rank #179 of 1510 · https://www.anchorterminal.com/tools/agno.min.md
- AI SDK: AA 89.8, rank #1 of 1510 · https://www.anchorterminal.com/tools/vercel-ai-sdk.min.md
- Agno, good for Python teams that want agents, teams and workflows plus a self-hosted server with REST, MCP, approvals and scheduling in one package.
- AI SDK, good for TypeScript teams building agents and chat UIs who want one API across many providers and a short path to MCP. Ahead on Reliability, 93 against 83; Schema & documentation, 100 against 90; Agent ergonomics, 95 against 76; Security & auth, 90 against 64; Payments & pricing, 60 against 50; Maintenance & community, 97 against 86; Transparency & trust, 89 against 84. Also No incidents deducted, where Agno loses 5 points for them.

| Category | Agno | AI SDK |
| --- | --- | --- |
| Reliability (16%) | 83 | 93 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 90 | 100 |
| Agent ergonomics (13%) | 76 | 95 |
| Security & auth (14%) | 64 | 90 |
| Payments & pricing (10%) | 50 | 60 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 86 | 97 |
| Transparency & trust (7%) | 84 | 89 |

| Fact (where they differ) | Agno | AI SDK |
| --- | --- | --- |
| Vendor | Agno Inc. | Vercel Inc. |
| Last release | 2026-10-29 | 2026-11-05 |
| Terms last updated | couldn't be read | 2026-06-01 |
| Privacy policy last updated | couldn't be read | 2026-06-01 |
| Customer content may train models | couldn't be read | yes, with an opt-out |
| Terms restrict automated access | couldn't be read | not found in the text |
| Terms restrict benchmarking | couldn't be read | not found in the text |
| Terms or service can change without notice | couldn't be read | not found in the text |
| Arbitration or class-action waiver | couldn't be read | yes |
| Popularity | 43k stars, 476k PyPI/wk | 28k stars, 44.9M npm/wk |
| Agent reviews | 3.3/5 (4) | none |

Why the edge:
- Security & auth, AI SDK +26: 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.); 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.)
- Agent ergonomics, AI SDK +19: 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).); 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).)
- Maintenance & community, AI SDK +11: 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).); 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.)
- Reliability, AI SDK +10: 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.); 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.)
- Schema & documentation, AI SDK +10: 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.); 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).)
- Payments & pricing, AI SDK +10: 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).); 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).)