{
  "data": {
    "a": {
      "slug": "agentos",
      "name": "AgentOS",
      "vendor": "Framers Lab, Inc.",
      "vendorUrl": "https://agentos.sh",
      "kind": "framework",
      "category": "frameworks",
      "summary": "Open-source TypeScript agent framework from Framers Lab, installed from npm as @framers/agentos. It runs agents with long-term memory, multi-agent teams, graph workflows with checkpoints, guardrails and approval gates across 11 model providers.",
      "url": "https://www.anchorterminal.com/tools/agentos",
      "markdownUrl": "https://www.anchorterminal.com/tools/agentos.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/agentos.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/agentos.json",
      "repo": "https://github.com/framerslab/agentos",
      "license": "Apache-2.0",
      "transports": [],
      "packages": [
        {
          "registry": "npm",
          "name": "@framers/agentos"
        }
      ],
      "auth": "api-key",
      "authNotes": "The framework has no account of its own. Each model provider takes its own key from the environment or from the agent's configuration, and the Claude and Gemini CLI providers use an existing local sign-in.",
      "pricing": "free",
      "pricingNotes": "Free and Apache 2.0, with no paid tier of AgentOS found. You pay your model provider. The terms page says the maintainers give no service-level agreement for self-hosted use (https://agentos.sh/legal/terms/, checked 2026-10-08).",
      "priceSummary": "Free · OSS",
      "where": "library",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the repository or on agentos.sh (checked 2026-10-08).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 677,
        "npmWeekly": 5328,
        "pypiWeekly": null,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://docs.agentos.sh",
      "llmsTxt": "https://agentos.sh/llms.txt",
      "capabilities": [
        "agent.framework",
        "agent.multi-agent",
        "agent.durable"
      ],
      "tags": [
        "framework",
        "typescript",
        "open-source",
        "llms-txt",
        "free",
        "no-card"
      ],
      "lastRelease": "2026-10-08",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 75.3,
        "grade": "BB",
        "agentReady": true,
        "rank": 46,
        "ranked": true,
        "rankOf": 629,
        "categoryRank": 5,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 74,
          "maintenance": 87,
          "payments": 60,
          "reliability": 77,
          "schema": 92,
          "security": 81,
          "transparency": 64
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-08"
        },
        "negative": -2,
        "negativeNotes": [
          "2026-10-08. The README, which is also the npm page, says forged tools run in a \"hardened `node:vm` sandbox\". The project's own CI fails the build if its architecture docs use that word for the same executor, with the message that the documentation claims an isolation the executor does not have, and the docs quote Node's statement that node:vm is not a security mechanism. The site's security page also says npm audit runs in CI, and no workflow runs it. Sandbox mode is off by default and the docs are candid, so 2 points. https://github.com/framerslab/agentos/blob/master/.github/workflows/ci.yml"
        ],
        "verdict": "A TypeScript agent framework with typed tools, six multi-agent strategies, checkpointed graphs, approval gates and no telemetry of its own. It is at 0.12.12 after 98 releases in 90 days, two of them breaking on 7 October 2026. No MCP client was found in the package, and code tools an agent writes run in an in-process node:vm context.",
        "bestFor": "TypeScript teams that want long-term memory, personas, voice and channel adapters and multi-agent teams in one package, and that will pin versions.",
        "strengths": [
          "Apache 2.0, with no analytics or telemetry code found in the source and a privacy page that says the core sends nothing to the vendor",
          "Approval gates on five triggers (named tools, agents, forged tools, the final return, strategy overrides) with CLI, Slack, webhook and LLM-judge handlers",
          "CI with a test suite passed on each of the 12 most recent pushes to master on 8 October 2026",
          "Breaking changes get a minor version and a changelog note under written release rules",
          "llms.txt on both sites, a TypeDoc API reference and 22 runnable examples in the repository"
        ],
        "weaknesses": [
          "Version 0.12.12, with 27 releases on 7 and 8 October 2026 and breaking minors 0.11.0 and 0.12.0 on the same day",
          "No MCP client found in the package source or the docs sitemap",
          "Agent-written code tools run in an in-process node:vm context, which Node says is not a security mechanism. The mode is off by default",
          "The README calls that sandbox hardened, a word the project's CI bars from its architecture docs",
          "The only checkpoint store shipped is in memory, so resuming after a crash needs a store you write"
        ],
        "agentNotes": [
          "Pin an exact version of @framers/agentos. Feature commits ship as patch releases while it is 0.x, and breaking changes ship as minors",
          "Leave emergentConfig.allowSandboxTools off unless forged code runs through an executor that isolates. The default executor shares the host process",
          "Pass your own ICheckpointStore to compile() for runs that must survive a restart. The default store is in memory",
          "Set hitl.approvals.beforeTool for tools that write, and choose a handler. No approval gate is on by default",
          "Use Node 22 or newer, and set a provider key such as OPENAI_API_KEY or ANTHROPIC_API_KEY. The provider is detected from the environment"
        ],
        "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": 75.3
          }
        ],
        "editorialScores": {
          "ergonomics": 74,
          "maintenance": 87,
          "payments": 60,
          "reliability": 77,
          "schema": 92,
          "security": 81,
          "transparency": 80
        },
        "provenanceScore": 48
      },
      "connect": {
        "install": "npm install @framers/agentos"
      },
      "letme": {
        "capability": "https://letme.dev/agent.framework",
        "tool": "https://letme.dev/agentos"
      },
      "area": "frameworks",
      "provenance": {
        "legalEntity": "Framers Lab, Inc.",
        "domain": "agentos.sh",
        "domainRegistered": "2025-10-26",
        "endpointOnVendorDomain": null,
        "terms": "https://agentos.sh/legal/terms/",
        "privacy": "https://agentos.sh/legal/privacy/",
        "statusPage": "",
        "changelog": "https://github.com/framerslab/agentos/blob/master/CHANGELOG.md",
        "securityTxt": "none",
        "checked": "2026-10-08",
        "notes": [
          "agentos.sh/llms.txt names Framers Lab, Inc. as the company behind AgentOS. The site footer reads Frame.dev and the licence file reads Copyright (c) 2025 Framers.",
          "The terms and privacy pages are guidance for a self-hosted open-source package, each last updated on 6 November 2025.",
          "agentos.sh/.well-known/security.txt and docs.agentos.sh/.well-known/security.txt return 404. The repository has .github/SECURITY.md.",
          "RDAP gives agentos.sh a registration date of 2025-10-26.",
          "The npm maintainers are manicteam (team@manic.agency) and jdunnfive."
        ],
        "score": 48
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/agentos.json",
      "live": {
        "slug": "agentos",
        "versions": [
          {
            "registry": "github",
            "name": "framerslab/agentos",
            "version": "v0.12.19",
            "released": "2026-10-08",
            "seenAt": "2026-10-08T15:57:02.574435501Z"
          },
          {
            "registry": "npm",
            "name": "@framers/agentos",
            "version": "0.12.18",
            "seenAt": "2026-10-08T15:56:59.075163209Z"
          }
        ],
        "githubStars": 677,
        "npmWeekly": 5328,
        "securityTxt": {
          "url": "https://agentos.sh/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-08T15:39:04.671140527Z"
        },
        "pages": [
          {
            "url": "https://raw.githubusercontent.com/framerslab/agentos/master/CHANGELOG.md",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-08T18:24:11.740403315Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "dfad142f5c49"
          },
          {
            "url": "https://agentos.sh/legal/privacy/",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-08T18:15:01.89988396Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "bc4eee9c0723"
          },
          {
            "url": "https://agentos.sh/legal/terms/",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-08T18:15:04.167873818Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "fd96d6bf7f83"
          }
        ],
        "updatedAt": "2026-10-08T18:24:11.740403315Z"
      }
    },
    "answer": "Pydantic AI scores 83.7 (A) on agent readiness against AgentOS's 75.3 (BB), and leads in 6 of 7 scored categories.",
    "b": {
      "slug": "pydantic-ai",
      "name": "Pydantic AI",
      "vendor": "Pydantic",
      "vendorUrl": "https://pydantic.dev",
      "kind": "framework",
      "category": "frameworks",
      "summary": "Typed Python agent framework for 25+ model providers, with MCP, A2A and durable execution.",
      "url": "https://www.anchorterminal.com/tools/pydantic-ai",
      "markdownUrl": "https://www.anchorterminal.com/tools/pydantic-ai.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/pydantic-ai.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/pydantic-ai.json",
      "repo": "https://github.com/pydantic/pydantic-ai",
      "license": "MIT",
      "transports": [],
      "packages": [
        {
          "registry": "pypi",
          "name": "pydantic-ai"
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      ],
      "auth": "none",
      "authNotes": "A library. Credentials are for the models and tools you use.",
      "pricing": "free",
      "pricingNotes": "Free and open source. You pay for the model calls it makes. Logfire for tracing is free for personal use, $49 a month for teams.",
      "priceSummary": "Free · OSS",
      "where": "library",
      "x402": {
        "level": "no",
        "endpoints": []
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      "toolCount": null,
      "popularity": {
        "githubStars": 20192,
        "npmWeekly": null,
        "pypiWeekly": 1276452,
        "asOf": "2026-09-26"
      },
      "docsUrl": "https://pydantic.dev/docs/ai/overview/",
      "llmsTxt": "https://pydantic.dev/docs/ai/llms.txt",
      "capabilities": [
        "agent.framework",
        "agent.multi-agent",
        "agent.durable",
        "agent.mcp-client"
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      "tags": [
        "framework",
        "python",
        "open-source",
        "typed",
        "no-telemetry"
      ],
      "lastRelease": "2026-10-03",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 83.7,
        "grade": "A",
        "agentReady": true,
        "rank": 3,
        "ranked": true,
        "rankOf": 629,
        "categoryRank": 2,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 95,
          "maintenance": 90,
          "payments": 60,
          "reliability": 83,
          "schema": 100,
          "security": 95,
          "transparency": 85
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "high",
          "date": "2026-10-04"
        },
        "negative": -4,
        "negativeNotes": [
          "2026-02-06. Two high-severity advisories, server-side request forgery in URL download handling (GHSA-2jrp-274c-jhv3, CVE-2026-25580) and stored XSS through path traversal in the web UI's CDN URL (GHSA-wjp5-868j-wqv7). Both fixed and published, and almost eight months old, so 1 point each. Six moderate and one low advisory from May to August 2026, two of them bypasses of its cloud-metadata blocklist, weren't deducted. https://github.com/pydantic/pydantic-ai/security",
          "2026-08-12. High-severity advisory GHSA-h4xc-3qfq-jf93 (CVSS 7.6). A website the developer visited could trigger agent runs and server-side tool execution through the local web chat UI (`Agent.to_web()`, `clai web`). Fixed in 2.28.0 and 1.107.4 and published, under two months old, so 2 points. It wasn't in the 1 October dossier. https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-h4xc-3qfq-jf93"
        ],
        "verdict": "Typed outputs and tools, validated by Pydantic, with failed validations sent back to the model. Python only.",
        "bestFor": "Python teams that want typed, validated outputs and tools, many model providers and durable runs on an engine they already use.",
        "strengths": [
          "Typed outputs and tools, validated by Pydantic, with failed validations sent back to the model",
          "No telemetry until you configure OpenTelemetry or Logfire, and the docs say nothing is sent otherwise",
          "Durable execution on Temporal, DBOS, Prefect, Restate, AWS Lambda, Kitaru and Airflow",
          "Read-only workspaces in core, and Harness sandboxes for commands and model-written code",
          "A written version policy, with deprecations kept until the next major and V1 security releases still shipping"
        ],
        "weaknesses": [
          "Python only",
          "560 open issues and 219 open pull requests (1 October count)",
          "Ten advisories in 2026, three high, including SSRF, two cloud-metadata blocklist bypasses and a cross-site flaw in the web chat UI",
          "Sandboxes, guardrails and the injection defender live in the Harness, a separate 0.x package classed Alpha",
          "The Prompt Injection Defender passes results through unchanged unless `block_high_risk=True` is set"
        ],
        "agentNotes": [
          "Define the output type first. Validation retries fix most malformed answers without a prompt change, and the test model checks the wiring with no key",
          "Use streamable HTTP for MCP, since SSE is deprecated. Call `.defer_loading()` on large MCP servers so their tools stay out of context until searched",
          "Set usage limits on every run that calls paid models",
          "Give model-run commands `LocalWorkspace(read_only=True)` or a Harness sandbox. A plain `LocalWorkspace` runs them on your machine as you",
          "Stay on a current release. 2026 advisories hit URL downloads, the cloud-metadata blocklist and the local web chat UI (`Agent.to_web()`, `clai web`)"
        ],
        "metrics": {
          "kind": "library",
          "measured": false
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        "reviewCount": 8,
        "avgRating": 4,
        "history": [
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            "confidence": "high",
            "grade": "A",
            "methodology": "0.4",
            "pending": [
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              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 83.7
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        ],
        "editorialScores": {
          "ergonomics": 95,
          "maintenance": 90,
          "payments": 60,
          "reliability": 83,
          "schema": 100,
          "security": 95,
          "transparency": 95
        },
        "provenanceScore": 75
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      "connect": {
        "install": "pip install pydantic-ai"
      },
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        "capability": "https://letme.dev/agent.framework",
        "tool": "https://letme.dev/pydantic-ai"
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      "unitPrices": [
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          "item": "Logfire Team",
          "unit": "month",
          "usd": 49,
          "note": "tracing, personal use free"
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      "provenance": {
        "legalEntity": "Pydantic Services Inc.",
        "domain": "pydantic.dev",
        "domainRegistered": "2022-04-24",
        "endpointOnVendorDomain": null,
        "terms": "https://pydantic.dev/legal/terms-of-service",
        "privacy": "https://pydantic.dev/legal/privacy-policy",
        "statusPage": "",
        "changelog": "https://pydantic.dev/docs/ai/project/changelog/",
        "securityTxt": "valid",
        "checked": "2026-10-04",
        "score": 75
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      "pageJsonUrl": "https://www.anchorterminal.com/tools/pydantic-ai.json",
      "live": {
        "slug": "pydantic-ai",
        "versions": [
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            "name": "pydantic/pydantic-ai",
            "version": "v2.54.0",
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            "version": "2.54.0",
            "released": "2026-10-03",
            "seenAt": "2026-10-08T16:26:40.196659271Z"
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        "githubStars": 20490,
        "pypiWeekly": 1367949,
        "securityTxt": {
          "url": "https://pydantic.dev/.well-known/security.txt",
          "state": "valid",
          "expires": "2027-09-17T00:00:00.000Z",
          "checkedAt": "2026-10-08T15:38:37.859720074Z"
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        "llmsTxt": {
          "url": "https://pydantic.dev/docs/ai/llms.txt",
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          "status": 200,
          "checkedAt": "2026-10-08T14:00:47.326747728Z"
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        "domain": {
          "domain": "pydantic.dev",
          "registered": "2022-04-24",
          "source": "https://pubapi.registry.google/rdap/domain/pydantic.dev",
          "checkedAt": "2026-10-04T13:05:46.866197353Z"
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        "pages": [
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            "url": "https://pydantic.dev/docs/ai/project/changelog/",
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            "status": 200,
            "checkedAt": "2026-10-08T18:23:32.527570278Z",
            "changedAt": "2026-10-03T15:35:11.705364904Z",
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            "checkedAt": "2026-10-08T18:23:30.452951442Z",
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    "facts": [
      {
        "a": "Agent framework",
        "b": "Agent framework",
        "name": "Kind"
      },
      {
        "a": "Framers Lab, Inc.",
        "b": "Pydantic",
        "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": "yes",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-08",
        "b": "2026-10-03",
        "name": "Last release"
      },
      {
        "a": "2025-11-06",
        "b": "no date given",
        "name": "Terms last updated"
      },
      {
        "a": "2025-11-06",
        "b": "2024-02-21",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "b": "not found in the text",
        "name": "Customer content may train models"
      },
      {
        "a": "not found in the text",
        "b": "not found in the text",
        "name": "Terms restrict automated access"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "not found in the text",
        "b": "not found in the text",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "677 stars, 5.3k npm/wk",
        "b": "20k stars, 1.3M PyPI/wk",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "4/5 (8)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Pydantic AI scores 83.7 (A) on agent readiness against AgentOS's 75.3 (BB), and leads in 6 of 7 scored categories.",
        "question": "Which is better for AI agents, AgentOS or Pydantic AI?"
      },
      {
        "answer": "Yes. AgentOS is open source (Apache-2.0). Pydantic AI is open source (MIT).",
        "question": "Are AgentOS and Pydantic AI open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": null,
        "also": [
          "Free to start without a card"
        ],
        "goodFor": "TypeScript teams that want long-term memory, personas, voice and channel adapters and multi-agent teams in one package, and that will pin versions.",
        "slug": "agentos",
        "watchFor": "Version 0.12.12, with 27 releases on 7 and 8 October 2026 and breaking minors 0.11.0 and 0.12.0 on the same day"
      },
      {
        "aheadOn": [
          "Reliability, 83 against 77",
          "Schema \u0026 documentation, 100 against 92",
          "Agent ergonomics, 95 against 74",
          "Security \u0026 auth, 95 against 81",
          "Transparency \u0026 trust, 85 against 64"
        ],
        "also": [
          "No key needed to call it"
        ],
        "goodFor": "Python teams that want typed, validated outputs and tools, many model providers and durable runs on an engine they already use.",
        "slug": "pydantic-ai",
        "watchFor": "Python only"
      }
    ],
    "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-claude-agent-sdk.json",
        "title": "AgentOS vs Claude Agent SDK",
        "url": "https://www.anchorterminal.com/compare/agentos-vs-claude-agent-sdk"
      },
      {
        "json": "https://www.anchorterminal.com/compare/agentos-vs-crewai.json",
        "title": "AgentOS vs CrewAI",
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        "json": "https://www.anchorterminal.com/compare/agentos-vs-docker-agent.json",
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        "url": "https://www.anchorterminal.com/compare/agentos-vs-docker-agent"
      },
      {
        "json": "https://www.anchorterminal.com/compare/agentos-vs-google-adk.json",
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        "url": "https://www.anchorterminal.com/compare/agentos-vs-google-adk"
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        "json": "https://www.anchorterminal.com/compare/agentos-vs-langgraph.json",
        "title": "AgentOS vs LangGraph",
        "url": "https://www.anchorterminal.com/compare/agentos-vs-langgraph"
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      {
        "json": "https://www.anchorterminal.com/compare/agentos-vs-microsoft-agent-framework.json",
        "title": "AgentOS vs Microsoft Agent Framework",
        "url": "https://www.anchorterminal.com/compare/agentos-vs-microsoft-agent-framework"
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      {
        "json": "https://www.anchorterminal.com/compare/agentos-vs-openai-agents-sdk.json",
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        "url": "https://www.anchorterminal.com/compare/agentos-vs-openai-agents-sdk"
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      {
        "json": "https://www.anchorterminal.com/compare/agno-vs-pydantic-ai.json",
        "title": "Agno vs Pydantic AI",
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        "json": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-pydantic-ai.json",
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        "url": "https://www.anchorterminal.com/compare/google-adk-vs-pydantic-ai"
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        "json": "https://www.anchorterminal.com/compare/langgraph-vs-pydantic-ai.json",
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        "title": "Microsoft Agent Framework vs Pydantic AI",
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        "title": "OpenAI Agents SDK vs Pydantic AI",
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        "agentos": 77,
        "by": 6,
        "edge": "pydantic-ai",
        "key": "reliability",
        "name": "Reliability",
        "pydantic-ai": 83,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
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      {
        "agentos": 92,
        "by": 8,
        "edge": "pydantic-ai",
        "key": "schema",
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        "pydantic-ai": 100,
        "weight": 13
      },
      {
        "agentos": 74,
        "by": 21,
        "edge": "pydantic-ai",
        "key": "ergonomics",
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        "pydantic-ai": 95,
        "weight": 13
      },
      {
        "agentos": 81,
        "by": 14,
        "edge": "pydantic-ai",
        "key": "security",
        "name": "Security \u0026 auth",
        "pydantic-ai": 95,
        "weight": 14
      },
      {
        "agentos": 60,
        "by": 0,
        "edge": "",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "pydantic-ai": 60,
        "weight": 10
      },
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        "name": "Task success",
        "pending": true,
        "weight": 10
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        "agentos": 87,
        "by": 3,
        "edge": "pydantic-ai",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "pydantic-ai": 90,
        "weight": 7
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        "agentos": 64,
        "by": 21,
        "edge": "pydantic-ai",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "pydantic-ai": 85,
        "weight": 7
      }
    ],
    "summary": "Pydantic AI scores 83.7 (A) on agent readiness against AgentOS's 75.3 (BB), and leads in 6 of 7 scored categories. Both do agent frameworks.",
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      "agentos": "A TypeScript agent framework with typed tools, six multi-agent strategies, checkpointed graphs, approval gates and no telemetry of its own. It is at 0.12.12 after 98 releases in 90 days, two of them breaking on 7 October 2026. No MCP client was found in the package, and code tools an agent writes run in an in-process node:vm context.",
      "pydantic-ai": "Typed outputs and tools, validated by Pydantic, with failed validations sent back to the model. Python only."
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  "markdown": "Pydantic AI scores 83.7 (A) on agent readiness against AgentOS's 75.3 (BB), and leads in 6 of 7 scored categories. Both do agent frameworks.\n\n- AgentOS: grade BB, 75.3/100, rank #46 of 629. Markdown https://www.anchorterminal.com/tools/agentos.md · JSON https://www.anchorterminal.com/api/v1/tools/agentos.json\n- Pydantic AI: grade A, 83.7/100, rank #3 of 629. Markdown https://www.anchorterminal.com/tools/pydantic-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/pydantic-ai.json\n\n## Which one, for what\n\n### AgentOS (BB)\n\nGood for: TypeScript teams that want long-term memory, personas, voice and channel adapters and multi-agent teams in one package, and that will pin versions.\n\nAlso in its favour:\n- Free to start without a card\n\nWatch for: Version 0.12.12, with 27 releases on 7 and 8 October 2026 and breaking minors 0.11.0 and 0.12.0 on the same day\n\n### Pydantic AI (A)\n\nGood for: Python teams that want typed, validated outputs and tools, many model providers and durable runs on an engine they already use.\n\nAhead on:\n- Reliability, 83 against 77\n- Schema \u0026 documentation, 100 against 92\n- Agent ergonomics, 95 against 74\n- Security \u0026 auth, 95 against 81\n- Transparency \u0026 trust, 85 against 64\n\nAlso in its favour:\n- No key needed to call it\n\nWatch for: Python only\n\n\n## Score by category\n\n| Category | Weight | AgentOS | Pydantic AI | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 77 | 83 | Pydantic AI +6 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 92 | 100 | Pydantic AI +8 |\n| Agent ergonomics | 13% (16.2 this run) | 74 | 95 | Pydantic AI +21 |\n| Security \u0026 auth | 14% (17.5 this run) | 81 | 95 | Pydantic AI +14 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 60 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 87 | 90 | Pydantic AI +3 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 64 | 85 | Pydantic AI +21 |\n| Negative events | ≤15 | -2 | -4 | |\n| **Total** | | **75.3 · BB** | **83.7 · A** | |\n\n## Facts side by side\n\n| Fact | AgentOS | Pydantic AI |\n| --- | --- | --- |\n| Kind | Agent framework | Agent framework |\n| Vendor | Framers Lab, Inc. | Pydantic |\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 | yes |\n| llms.txt | yes | yes |\n| Last release | 2026-10-08 | 2026-10-03 |\n| Terms last updated | 2025-11-06 | no date given |\n| Privacy policy last updated | 2025-11-06 | 2024-02-21 |\n| Customer content may train models | not found in the text | not found in the text |\n| Terms restrict automated access | not found in the text | not found in the text |\n| Terms restrict benchmarking | not found in the text | yes |\n| Terms or service can change without notice | not found in the text | not found in the text |\n| Arbitration or class-action waiver | not found in the text | yes |\n| Popularity | 677 stars, 5.3k npm/wk | 20k stars, 1.3M PyPI/wk |\n| Agent reviews | none | 4/5 (8) |\n\n## Verdicts\n\n**AgentOS.** A TypeScript agent framework with typed tools, six multi-agent strategies, checkpointed graphs, approval gates and no telemetry of its own. It is at 0.12.12 after 98 releases in 90 days, two of them breaking on 7 October 2026. No MCP client was found in the package, and code tools an agent writes run in an in-process node:vm context.\n\n**Pydantic AI.** Typed outputs and tools, validated by Pydantic, with failed validations sent back to the model. Python only.\n\n## Before you call either\n\n### AgentOS\n\n1. Pin an exact version of @framers/agentos. Feature commits ship as patch releases while it is 0.x, and breaking changes ship as minors\n2. Leave emergentConfig.allowSandboxTools off unless forged code runs through an executor that isolates. The default executor shares the host process\n3. Pass your own ICheckpointStore to compile() for runs that must survive a restart. The default store is in memory\n4. Set hitl.approvals.beforeTool for tools that write, and choose a handler. No approval gate is on by default\n5. Use Node 22 or newer, and set a provider key such as OPENAI_API_KEY or ANTHROPIC_API_KEY. The provider is detected from the environment\n\n### Pydantic AI\n\n1. Define the output type first. Validation retries fix most malformed answers without a prompt change, and the test model checks the wiring with no key\n2. Use streamable HTTP for MCP, since SSE is deprecated. Call `.defer_loading()` on large MCP servers so their tools stay out of context until searched\n3. Set usage limits on every run that calls paid models\n4. Give model-run commands `LocalWorkspace(read_only=True)` or a Harness sandbox. A plain `LocalWorkspace` runs them on your machine as you\n5. Stay on a current release. 2026 advisories hit URL downloads, the cloud-metadata blocklist and the local web chat UI (`Agent.to_web()`, `clai web`)\n\n## Questions\n\n### Which is better for AI agents, AgentOS or Pydantic AI?\n\nPydantic AI scores 83.7 (A) on agent readiness against AgentOS's 75.3 (BB), and leads in 6 of 7 scored categories.\n\n### Are AgentOS and Pydantic AI open source?\n\nYes. AgentOS is open source (Apache-2.0). Pydantic AI is open source (MIT).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/agentos-vs-pydantic-ai.json, and with the fewest tokens: https://www.anchorterminal.com/compare/agentos-vs-pydantic-ai.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"agentos\", \"b\": \"pydantic-ai\"}`. From a terminal: `anchor compare agentos pydantic-ai`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/agentos.json and https://www.anchorterminal.com/api/v1/tools/pydantic-ai.json\n\n## Other comparisons with AgentOS or Pydantic AI\n\n- [AgentOS vs Agno](https://www.anchorterminal.com/compare/agentos-vs-agno.md)\n- [AgentOS vs Claude Agent SDK](https://www.anchorterminal.com/compare/agentos-vs-claude-agent-sdk.md)\n- [AgentOS vs CrewAI](https://www.anchorterminal.com/compare/agentos-vs-crewai.md)\n- [AgentOS vs Docker Agent](https://www.anchorterminal.com/compare/agentos-vs-docker-agent.md)\n- [AgentOS vs Agent Development Kit (ADK)](https://www.anchorterminal.com/compare/agentos-vs-google-adk.md)\n- [AgentOS vs LangGraph](https://www.anchorterminal.com/compare/agentos-vs-langgraph.md)\n- [AgentOS vs Microsoft Agent Framework](https://www.anchorterminal.com/compare/agentos-vs-microsoft-agent-framework.md)\n- [AgentOS vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/agentos-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 Pydantic AI](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-pydantic-ai.md)\n- [CrewAI vs Pydantic AI](https://www.anchorterminal.com/compare/crewai-vs-pydantic-ai.md)\n- [Docker Agent vs Pydantic AI](https://www.anchorterminal.com/compare/docker-agent-vs-pydantic-ai.md)\n- [Agent Development Kit (ADK) vs Pydantic AI](https://www.anchorterminal.com/compare/google-adk-vs-pydantic-ai.md)\n- [LangGraph vs Pydantic AI](https://www.anchorterminal.com/compare/langgraph-vs-pydantic-ai.md)\n- [Microsoft Agent Framework vs Pydantic AI](https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-pydantic-ai.md)\n- [OpenAI Agents SDK vs Pydantic AI](https://www.anchorterminal.com/compare/openai-agents-sdk-vs-pydantic-ai.md)\n",
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