{ "data": { "a": { "slug": "guilds-run", "name": "guilds.run", "vendor": "Cigale AI", "vendorUrl": "https://guilds.run", "kind": "framework", "category": "frameworks", "summary": "Open-source, self-hosted system from Cigale AI for standing teams of AI agents, each with its own role, model and tools. A guild shares chat, notes and tables, and every run keeps the prompt, tool calls and memory changes.", "url": "https://www.anchorterminal.com/tools/guilds-run", "markdownUrl": "https://www.anchorterminal.com/tools/guilds-run.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/guilds-run.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/guilds-run.json", "repo": "https://github.com/CigaleAI/guilds", "license": "AGPL-3.0-only", "transports": [], "packages": [], "auth": "api-key", "authNotes": "The box has no model key of its own. Each organisation pastes a key for OpenAI, OpenRouter, xAI, DeepInfra or Kimi Code, or points at a local OpenAI-compatible endpoint, and the key is sent only to that provider. The web app on 127.0.0.1:8080 has no login by default; whoever reaches the port is the operator. AUTH_MODE=trusted-header takes identity from an authenticating proxy with a shared secret.", "pricing": "free", "pricingNotes": "Free under AGPL-3.0 to run yourself, with model usage billed by your own provider and no spend cap set by guilds.run. A hosted edition from $19 a month is listed as coming soon and not available on 14 October 2026 (https://www.guilds.run/pricing).", "priceSummary": "Free · OSS", "where": "library", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the repository, the docs or on guilds.run (checked 2026-10-14).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 57, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-14" }, "docsUrl": "https://docs.guilds.run/", "capabilities": [ "agent.framework", "agent.multi-agent", "agent.mcp-client", "agent.durable" ], "tags": [ "framework", "open-source", "self-hosted", "local", "docker", "typescript", "free", "no-card", "pre-1.0" ], "graded": true, "anchor": { "graded": true, "score": 56.5, "grade": "C", "agentReady": false, "rank": 674, "ranked": true, "rankOf": 1084, "categoryRank": 11, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 67, "maintenance": 41, "payments": 60, "reliability": 53, "schema": 58, "security": 68, "transparency": 52 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-14" }, "negative": -2, "negativeNotes": [ "2026-10-14. The home page says each agent has its own computer, and its script example reads sandboxed in scout's workspace. Since the change of 13 October 2026 (pull request #8, per-org machines), agents are placed on shared machines, and the vendor's own register (SEC-24, open and accepted) says agents on one machine can read each other's homes, git tokens, browser sessions and running commands' environments. The footer also links to terms and privacy pages that return 404. The docs state the shared-machine risk plainly, so 2 points. https://www.guilds.run/ and https://github.com/CigaleAI/guilds/blob/main/docs/architecture/security-register.md" ], "verdict": "A self-hosted multi-agent system that records each run's prompt, tool calls and memory changes, with per-agent models and tools and no telemetry by default. Public since 9 October 2026, it has no tagged release or published package, its own security register lists 13 open issues, and the site's terms and privacy links return 404.", "bestFor": "A person or small team that wants a standing, inspectable team of agents with schedules, shared tables and a web app, run on one machine, and is comfortable tracking main.", "strengths": [ "Every run stores the prompt the model saw, each tool call and result, and versioned memory with the author of each change", "Free under AGPL-3.0, with Sentry off unless SENTRY_DSN is set and no other telemetry found in the source", "MCP tools that write or are marked destructive start Off for a new login, and each agent is offered only the tools turned on for it", "CI runs typecheck, lint, unit tests and a smoke test of the Compose stack, and all 13 runs on main passed", "A public security register records 26 issues with status, exposure and residual risk" ], "weaknesses": [ "No tagged release, version number, changelog or published image. Users install whatever is on main", "13 issues in the vendor's security register are open, among them shared machines (SEC-24), root shells (SEC-6) and prompt injection into coding agents (SEC-8)", "No login on the default box. Whoever reaches port 8080 is the operator, and remote use needs a proxy or tailnet", "Terms and privacy links on guilds.run return 404, and no privacy statement for the software was found", "Five days of public history on 14 October 2026, with 57 stars and eight issues and pull requests" ], "agentNotes": [ "Keep the box on loopback or behind an authenticating proxy with AUTH_MODE=trusted-header. The default mode does not authenticate", "Put agents that hold different secrets or GitHub tokens on different machines. Agents on one machine can read each other's homes and tokens", "Back up the .env file written by ./setup.sh. It holds the only copy of the key that encrypts stored credentials", "Set a spend limit at your model provider. guilds.run sets no spend cap, and max_tool_calls defaults to 50 per run", "Pin a commit of main when you deploy. There are no tagged releases or versioned images yet" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 56.5 } ], "editorialScores": { "ergonomics": 67, "maintenance": 41, "payments": 60, "reliability": 53, "schema": 58, "security": 68, "transparency": 63 }, "provenanceScore": 40 }, "connect": { "install": "git clone https://github.com/CigaleAI/guilds.git \u0026\u0026 cd guilds \u0026\u0026 ./setup.sh \u0026\u0026 docker compose up --detach --wait" }, "letme": { "capability": "https://letme.dev/agent.framework", "tool": "https://letme.dev/guilds-run" }, "area": "frameworks", "provenance": { "legalEntity": "Cigale AI", "domain": "guilds.run", "domainRegistered": "2026-09-19", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "", "securityTxt": "none", "checked": "2026-10-14", "notes": [ "The site footer says Cigale is the company behind guilds.run, and THIRD_PARTY_NOTICES.md reads copyright Cigale AI. No legal form or address was found.", "The footer links to https://www.guilds.run/terms and https://www.guilds.run/privacy, and both returned 404 on 14 October 2026.", "www.guilds.run/.well-known/security.txt returns 404. The repository has SECURITY.md with GitHub private vulnerability reporting.", "RDAP gives guilds.run a registration date of 2026-09-19.", "The GitHub organisation CigaleAI was created on 2025-02-17 and is not verified." ], "score": 40 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/guilds-run.json", "live": { "slug": "guilds-run", "pages": [ { "url": "https://www.guilds.run/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-14T21:13:14.789150755Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "56ebea156266" } ], "updatedAt": "2026-10-14T21:13:14.789150755Z" } }, "answer": "Pydantic AI scores 83.7 (A) on agent readiness against guilds.run's 56.5 (C), 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" } ], "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": [] }, "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" ], "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": 1084, "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 }, "reviewCount": 8, "avgRating": 4, "history": [ { "basis": "public evidence", "confidence": "high", "grade": "A", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 83.7 } ], "editorialScores": { "ergonomics": 95, "maintenance": 90, "payments": 60, "reliability": 83, "schema": 100, "security": 95, "transparency": 95 }, "provenanceScore": 75 }, "connect": { "install": "pip install pydantic-ai" }, "letme": { "capability": "https://letme.dev/agent.framework", "tool": "https://letme.dev/pydantic-ai" }, "sameCompany": [ "pydantic-logfire" ], "area": "frameworks", "unitPrices": [ { "item": "Logfire Team", "unit": "month", "usd": 49, "note": "tracing, personal use free" } ], "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 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/pydantic-ai.json", "live": { "slug": "pydantic-ai", "versions": [ { "registry": "github", "name": "pydantic/pydantic-ai", "version": "v2.55.0", "released": "2026-10-09", "seenAt": "2026-10-13T23:19:39.068305302Z" }, { "registry": "pypi", "name": "pydantic-ai", "version": "2.55.0", "released": "2026-10-09", "seenAt": "2026-10-13T23:19:38.954916848Z" } ], "githubStars": 20597, "pypiWeekly": 1372368, "securityTxt": { "url": "https://pydantic.dev/.well-known/security.txt", "state": "valid", "expires": "2027-09-17T00:00:00.000Z", "checkedAt": "2026-10-14T15:46:19.939239342Z" }, "llmsTxt": { "url": "https://pydantic.dev/docs/ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-14T14:14:54.3642794Z" }, "domain": { "domain": "pydantic.dev", "registered": "2022-04-24", "source": "https://pubapi.registry.google/rdap/domain/pydantic.dev", "checkedAt": "2026-10-11T13:13:13.370650497Z" }, "pages": [ { "url": "https://pydantic.dev/docs/ai/project/changelog/", "kind": "changelog", "status": 200, "checkedAt": "2026-10-14T21:05:49.347154672Z", "changedAt": "2026-10-14T20:47:24.076399359Z", "fingerprint": "7ddf06676009" }, { "url": "https://pydantic.dev/articles/pydantic-ai-v2", "kind": "deprecations", "status": 304, "checkedAt": "2026-10-14T21:05:45.304090401Z", "changedAt": "2026-10-08T18:23:30.452951442Z", "fingerprint": "ce08f06e1b0a" }, { "url": "https://pydantic.dev/legal/privacy-policy", "kind": "privacy", "status": 304, "checkedAt": "2026-10-14T21:05:51.431106872Z", "changedAt": "2026-10-07T18:08:45.478164751Z", "fingerprint": "ffa3b6106e3d" }, { "url": "https://pydantic.dev/legal/terms-of-service", "kind": "terms", "status": 304, "checkedAt": "2026-10-14T21:05:53.37130216Z", "changedAt": "2026-10-07T18:08:47.356836571Z", "fingerprint": "39f75457a65a" } ], "updatedAt": "2026-10-14T21:05:53.37130216Z" } }, "facts": [ { "a": "Agent framework", "b": "Agent framework", "name": "Kind" }, { "a": "Cigale AI", "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": "AGPL-3.0-only", "b": "MIT", "name": "Licence" }, { "a": "no", "b": "yes", "name": "Read-only variant documented" }, { "a": "no", "b": "yes", "name": "llms.txt" }, { "a": "none", "b": "2026-10-03", "name": "Last release" }, { "a": "no document linked", "b": "no date given", "name": "Terms last updated" }, { "a": "no document linked", "b": "2024-02-21", "name": "Privacy policy last updated" }, { "a": "", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "57 stars", "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 guilds.run's 56.5 (C), and leads in 6 of 7 scored categories.", "question": "Which is better for AI agents, guilds.run or Pydantic AI?" }, { "answer": "Yes. guilds.run is open source (AGPL-3.0-only). Pydantic AI is open source (MIT).", "question": "Are guilds.run and Pydantic AI open source?" } ], "goodFor": [ { "aheadOn": null, "also": [ "Free to start without a card" ], "goodFor": "A person or small team that wants a standing, inspectable team of agents with schedules, shared tables and a web app, run on one machine, and is comfortable tracking main.", "slug": "guilds-run", "watchFor": "No tagged release, version number, changelog or published image. Users install whatever is on main" }, { "aheadOn": [ "Reliability, 83 against 53", "Schema \u0026 documentation, 100 against 58", "Agent ergonomics, 95 against 67", "Security \u0026 auth, 95 against 68", "Maintenance \u0026 community, 90 against 41", "Transparency \u0026 trust, 85 against 52" ], "also": [ "Agent-ready, a grade of BB or better", "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-guilds-run.json", "title": "AgentOS vs guilds.run", "url": "https://www.anchorterminal.com/compare/agentos-vs-guilds-run" }, { "json": "https://www.anchorterminal.com/compare/agentos-vs-pydantic-ai.json", "title": "AgentOS vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/agentos-vs-pydantic-ai" }, { "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-pydantic-ai.json", "title": "Agno vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/agno-vs-pydantic-ai" }, { "json": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-guilds-run.json", "title": "Claude Agent SDK vs guilds.run", "url": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-guilds-run" }, { "json": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-pydantic-ai.json", "title": "Claude Agent SDK vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/claude-agent-sdk-vs-pydantic-ai" }, { "json": "https://www.anchorterminal.com/compare/crewai-vs-guilds-run.json", "title": "CrewAI vs guilds.run", "url": "https://www.anchorterminal.com/compare/crewai-vs-guilds-run" }, { "json": "https://www.anchorterminal.com/compare/crewai-vs-pydantic-ai.json", "title": "CrewAI vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/crewai-vs-pydantic-ai" }, { "json": "https://www.anchorterminal.com/compare/docker-agent-vs-guilds-run.json", "title": "Docker Agent vs guilds.run", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-guilds-run" }, { "json": "https://www.anchorterminal.com/compare/docker-agent-vs-pydantic-ai.json", "title": "Docker Agent vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/docker-agent-vs-pydantic-ai" }, { "json": "https://www.anchorterminal.com/compare/google-adk-vs-guilds-run.json", "title": "Agent Development Kit (ADK) vs guilds.run", "url": "https://www.anchorterminal.com/compare/google-adk-vs-guilds-run" }, { "json": "https://www.anchorterminal.com/compare/google-adk-vs-pydantic-ai.json", "title": "Agent Development Kit (ADK) vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/google-adk-vs-pydantic-ai" }, { "json": "https://www.anchorterminal.com/compare/guilds-run-vs-langgraph.json", "title": "guilds.run vs LangGraph", "url": "https://www.anchorterminal.com/compare/guilds-run-vs-langgraph" }, { "json": "https://www.anchorterminal.com/compare/guilds-run-vs-microsoft-agent-framework.json", "title": "guilds.run vs Microsoft Agent Framework", "url": "https://www.anchorterminal.com/compare/guilds-run-vs-microsoft-agent-framework" }, { "json": "https://www.anchorterminal.com/compare/guilds-run-vs-openai-agents-sdk.json", "title": "guilds.run vs OpenAI Agents SDK", "url": "https://www.anchorterminal.com/compare/guilds-run-vs-openai-agents-sdk" }, { "json": "https://www.anchorterminal.com/compare/langgraph-vs-pydantic-ai.json", "title": "LangGraph vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/langgraph-vs-pydantic-ai" }, { "json": "https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-pydantic-ai.json", "title": "Microsoft Agent Framework vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/microsoft-agent-framework-vs-pydantic-ai" }, { "json": "https://www.anchorterminal.com/compare/openai-agents-sdk-vs-pydantic-ai.json", "title": "OpenAI Agents SDK vs Pydantic AI", "url": "https://www.anchorterminal.com/compare/openai-agents-sdk-vs-pydantic-ai" } ], "scores": [ { "by": 30, "edge": "pydantic-ai", "guilds-run": 53, "key": "reliability", "name": "Reliability", "pydantic-ai": 83, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 42, "edge": "pydantic-ai", "guilds-run": 58, "key": "schema", "name": "Schema \u0026 documentation", "pydantic-ai": 100, "weight": 13 }, { "by": 28, "edge": "pydantic-ai", "guilds-run": 67, "key": "ergonomics", "name": "Agent ergonomics", "pydantic-ai": 95, "weight": 13 }, { "by": 27, "edge": "pydantic-ai", "guilds-run": 68, "key": "security", "name": "Security \u0026 auth", "pydantic-ai": 95, "weight": 14 }, { "by": 0, "edge": "", "guilds-run": 60, "key": "payments", "name": "Payments \u0026 pricing", "pydantic-ai": 60, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 49, "edge": "pydantic-ai", "guilds-run": 41, "key": "maintenance", "name": "Maintenance \u0026 community", "pydantic-ai": 90, "weight": 7 }, { "by": 33, "edge": "pydantic-ai", "guilds-run": 52, "key": "transparency", "name": "Transparency \u0026 trust", "pydantic-ai": 85, "weight": 7 } ], "summary": "Pydantic AI scores 83.7 (A) on agent readiness against guilds.run's 56.5 (C), and leads in 6 of 7 scored categories. Both do agent frameworks.", "verdicts": { "guilds-run": "A self-hosted multi-agent system that records each run's prompt, tool calls and memory changes, with per-agent models and tools and no telemetry by default. Public since 9 October 2026, it has no tagged release or published package, its own security register lists 13 open issues, and the site's terms and privacy links return 404.", "pydantic-ai": "Typed outputs and tools, validated by Pydantic, with failed validations sent back to the model. Python only." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/guilds-run-vs-pydantic-ai", "json": "https://www.anchorterminal.com/compare/guilds-run-vs-pydantic-ai.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/guilds-run-vs-pydantic-ai.md", "slim": "https://www.anchorterminal.com/compare/guilds-run-vs-pydantic-ai.min.md" }, "markdown": "Pydantic AI scores 83.7 (A) on agent readiness against guilds.run's 56.5 (C), and leads in 6 of 7 scored categories. Both do agent frameworks.\n\n- guilds.run: grade C, 56.5/100, rank #674 of 1084. Markdown https://www.anchorterminal.com/tools/guilds-run.md · JSON https://www.anchorterminal.com/api/v1/tools/guilds-run.json\n- Pydantic AI: grade A, 83.7/100, rank #3 of 1084. Markdown https://www.anchorterminal.com/tools/pydantic-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/pydantic-ai.json\n- Best agent frameworks and SDKs: https://www.anchorterminal.com/best/frameworks/index.md\n- All 55 frameworks comparisons: https://www.anchorterminal.com/compare/frameworks/index.md\n\n## Which one, for what\n\n### guilds.run (C)\n\nGood for: A person or small team that wants a standing, inspectable team of agents with schedules, shared tables and a web app, run on one machine, and is comfortable tracking main.\n\nAlso in its favour:\n- Free to start without a card\n\nWatch for: No tagged release, version number, changelog or published image. Users install whatever is on main\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 53\n- Schema \u0026 documentation, 100 against 58\n- Agent ergonomics, 95 against 67\n- Security \u0026 auth, 95 against 68\n- Maintenance \u0026 community, 90 against 41\n- Transparency \u0026 trust, 85 against 52\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- No key needed to call it\n\nWatch for: Python only\n\n\n## Score by category\n\n| Category | Weight | guilds.run | Pydantic AI | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 53 | 83 | Pydantic AI +30 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 58 | 100 | Pydantic AI +42 |\n| Agent ergonomics | 13% (16.2 this run) | 67 | 95 | Pydantic AI +28 |\n| Security \u0026 auth | 14% (17.5 this run) | 68 | 95 | Pydantic AI +27 |\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) | 41 | 90 | Pydantic AI +49 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 52 | 85 | Pydantic AI +33 |\n| Negative events | ≤15 | -2 | -4 | |\n| **Total** | | **56.5 · C** | **83.7 · A** | |\n\n## Facts side by side\n\n| Fact | guilds.run | Pydantic AI |\n| --- | --- | --- |\n| Kind | Agent framework | Agent framework |\n| Vendor | Cigale AI | 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 | AGPL-3.0-only | MIT |\n| Read-only variant documented | no | yes |\n| llms.txt | no | yes |\n| Last release | none | 2026-10-03 |\n| Terms last updated | no document linked | no date given |\n| Privacy policy last updated | no document linked | 2024-02-21 |\n| Customer content may train models | | not found in the text |\n| Terms restrict automated access | | not found in the text |\n| Terms restrict benchmarking | | yes |\n| Terms or service can change without notice | | not found in the text |\n| Arbitration or class-action waiver | | yes |\n| Popularity | 57 stars | 20k stars, 1.3M PyPI/wk |\n| Agent reviews | none | 4/5 (8) |\n\n## Verdicts\n\n**guilds.run.** A self-hosted multi-agent system that records each run's prompt, tool calls and memory changes, with per-agent models and tools and no telemetry by default. Public since 9 October 2026, it has no tagged release or published package, its own security register lists 13 open issues, and the site's terms and privacy links return 404.\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### guilds.run\n\n1. Keep the box on loopback or behind an authenticating proxy with AUTH_MODE=trusted-header. The default mode does not authenticate\n2. Put agents that hold different secrets or GitHub tokens on different machines. Agents on one machine can read each other's homes and tokens\n3. Back up the .env file written by ./setup.sh. It holds the only copy of the key that encrypts stored credentials\n4. Set a spend limit at your model provider. guilds.run sets no spend cap, and max_tool_calls defaults to 50 per run\n5. Pin a commit of main when you deploy. There are no tagged releases or versioned images yet\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, guilds.run or Pydantic AI?\n\nPydantic AI scores 83.7 (A) on agent readiness against guilds.run's 56.5 (C), and leads in 6 of 7 scored categories.\n\n### Are guilds.run and Pydantic AI open source?\n\nYes. guilds.run is open source (AGPL-3.0-only). Pydantic AI is open source (MIT).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/guilds-run-vs-pydantic-ai.json, and with the fewest tokens: https://www.anchorterminal.com/compare/guilds-run-vs-pydantic-ai.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"guilds-run\", \"b\": \"pydantic-ai\"}`. From a terminal: `anchor compare guilds-run pydantic-ai`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/guilds-run.json and https://www.anchorterminal.com/api/v1/tools/pydantic-ai.json\n\n## Other comparisons with guilds.run or Pydantic AI\n\n- [AgentOS vs guilds.run](https://www.anchorterminal.com/compare/agentos-vs-guilds-run.md)\n- [AgentOS vs Pydantic AI](https://www.anchorterminal.com/compare/agentos-vs-pydantic-ai.md)\n- [Agno vs guilds.run](https://www.anchorterminal.com/compare/agno-vs-guilds-run.md)\n- [Agno vs Pydantic AI](https://www.anchorterminal.com/compare/agno-vs-pydantic-ai.md)\n- [Claude Agent SDK vs guilds.run](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-guilds-run.md)\n- [Claude Agent SDK vs Pydantic AI](https://www.anchorterminal.com/compare/claude-agent-sdk-vs-pydantic-ai.md)\n- [CrewAI vs guilds.run](https://www.anchorterminal.com/compare/crewai-vs-guilds-run.md)\n- [CrewAI vs Pydantic AI](https://www.anchorterminal.com/compare/crewai-vs-pydantic-ai.md)\n- [Docker Agent vs guilds.run](https://www.anchorterminal.com/compare/docker-agent-vs-guilds-run.md)\n- [Docker Agent vs Pydantic AI](https://www.anchorterminal.com/compare/docker-agent-vs-pydantic-ai.md)\n- [Agent Development Kit (ADK) vs guilds.run](https://www.anchorterminal.com/compare/google-adk-vs-guilds-run.md)\n- [Agent Development Kit (ADK) vs Pydantic AI](https://www.anchorterminal.com/compare/google-adk-vs-pydantic-ai.md)\n- [guilds.run vs LangGraph](https://www.anchorterminal.com/compare/guilds-run-vs-langgraph.md)\n- [guilds.run vs Microsoft Agent Framework](https://www.anchorterminal.com/compare/guilds-run-vs-microsoft-agent-framework.md)\n- [guilds.run vs OpenAI Agents SDK](https://www.anchorterminal.com/compare/guilds-run-vs-openai-agents-sdk.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", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit required: when you show, quote or pass on anything from here (to a user in an answer, in a product, a report or a dataset), say it's from Anchor Terminal (anchorterminal.com) and link the page or API address you took it from. Reviews also credit their author.", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-14", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "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": "guilds.run vs Pydantic AI", "url": "" } ], "description": "Pydantic AI scores 83.7 (A) to guilds.run's 56.5 (C) for agent frameworks. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "guilds.run C 56.5", "Pydantic AI A 83.7", "scores" ], "h1": "guilds.run vs Pydantic AI", "image": "https://www.anchorterminal.com/assets/og/compare-guilds-run-vs-pydantic-ai.png", "path": "/compare/guilds-run-vs-pydantic-ai", "published": "2026-10-01", "section": "tools", "title": "guilds.run vs Pydantic AI for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-14", "url": "https://www.anchorterminal.com/compare/guilds-run-vs-pydantic-ai" }, "tokens": { "markdown": 2150, "slim": 680 }, "version": 1 }