{ "data": { "a": { "slug": "agentgate", "name": "AgentGate", "vendor": "Mohit Singh (mohitdebian)", "vendorUrl": "https://github.com/mohitdebian/AgentGate", "kind": "http-api", "category": "guardrails", "summary": "AgentGate is an open-source, self-hosted gateway that checks an agent's tool calls before they run. A small local classifier scores each call and a YAML policy returns allow, deny or ask, through a REST API or an MCP stdio wrapper.", "url": "https://www.anchorterminal.com/tools/agentgate", "markdownUrl": "https://www.anchorterminal.com/tools/agentgate.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/agentgate.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/agentgate.json", "repo": "https://github.com/mohitdebian/AgentGate", "license": "MIT", "transports": [ "http", "stdio" ], "packages": [], "auth": "none", "authNotes": "No account. The agent endpoints (`/v1/sessions`, `/v1/assess`) are open unless the owner sets `AG_AGENT_KEY`, then need `Authorization: Bearer \u003ckey\u003e` or `x-agent-key`. Dashboard endpoints need `AG_DASHBOARD_KEY`, which falls back to `dev-key-123` when unset and is also accepted as a `?token=` query parameter. The checkpoint and shadow-summary endpoints have no auth check in the source.", "pricing": "free", "pricingNotes": "Free under MIT with nothing to buy. The owner runs four containers (Postgres, the Python decision service, the Fastify proxy and the dashboard), with an NVIDIA GPU recommended for the classifier and a CPU path in the code.", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the source, the docs or the wiki (checked 2026-10-15). The project has no paid tier.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 0, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-15" }, "docsUrl": "https://github.com/mohitdebian/AgentGate/wiki/Client-Integration-Guide", "openapi": "https://github.com/mohitdebian/AgentGate/blob/main/docs/openapi.yaml", "capabilities": [ "guard.policy", "guard.injection", "guard.self-host" ], "tags": [ "open-source", "self-hosted", "local", "free", "no-card", "mit", "typescript", "python", "mcp", "docker", "openapi" ], "graded": true, "anchor": { "graded": true, "score": 48.5, "grade": "D", "agentReady": false, "rank": 883, "ranked": true, "rankOf": 1094, "categoryRank": 16, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 53, "maintenance": 28, "payments": 60, "reliability": 44, "schema": 47, "security": 49, "transparency": 56 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-15" }, "negative": 0, "verdict": "An agent or its host can send each tool call to one REST endpoint, or wrap an MCP server, and get allow, deny or ask from a local classifier and a YAML policy, with an audit log and approval queue. The project is three days old, auth is off by default, and no detection accuracy is published.", "bestFor": "A team that wants a self-hosted check between an agent and its shell, database or webhook tools, with a human approval queue.", "strengths": [ "One documented call, `POST /v1/assess`, returns a verdict, reason codes and four head probabilities", "Fail-closed defaults. A model error or timeout falls back to ask, and unmatched tools default to ask", "Decisions are logged in Postgres with redacted arguments, a SHA-256 of the full arguments and approval reviewer notes", "MIT code and MIT model weights on Hugging Face with no gate, run entirely on the owner's machines", "Shadow mode and policy replay let an operator test a policy against past decisions before enforcing it" ], "weaknesses": [ "Agent endpoints need no key unless `AG_AGENT_KEY` is set, the proxy binds 0.0.0.0:8080, and the dashboard key defaults to `dev-key-123`", "Checkpoint revert, which runs git on the proxy's workspace, has no auth check in the source of 15 October 2026", "No tagged release, an empty changelog and version 0.1.0, three days after the first commit", "The MCP wrapper treats `allow_with_checkpoint` as an error and does not send the agent key to `/v1/assess`", "No published accuracy or false-positive rate for the classifier, trained in 60 steps per its model card" ], "agentNotes": [ "Create a session with the user's real goal first. The goal-alignment head scores every later call against it", "Pass earlier tool results in `history_override` with `untrusted: true` for web or email content, or the injection head sees only the action", "On `ask`, stop and tell the user the `decision_id`. Polling `/v1/decisions/:id` needs the dashboard key", "Treat `allow_with_checkpoint` as allow and keep the `checkpoint_id` for an undo", "Expect HTTP 404 with `not_found` for an unknown session and 401 when the owner has set an agent key" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 48.5 } ], "editorialScores": { "ergonomics": 53, "maintenance": 28, "payments": 60, "reliability": 44, "schema": 47, "security": 49, "transparency": 59 }, "provenanceScore": 53 }, "connect": { "install": "git clone https://github.com/mohitdebian/AgentGate.git \u0026\u0026 cd AgentGate \u0026\u0026 docker compose up -d", "http": "curl -s -X POST http://localhost:8080/v1/assess -H \"Content-Type: application/json\" -d '{\"session_id\":\"\u003cid from POST /v1/sessions\u003e\",\"action\":{\"tool\":\"bash_exec\",\"arguments\":{\"command\":\"rm -rf /var/www\"}}}'", "config": { "mcpServers": { "postgres": { "args": [ "/path/to/AgentGate/proxy/dist/src/mcp.js", "npx", "-y", "@modelcontextprotocol/server-postgres", "postgresql://user:pass@localhost:5432/production" ], "command": "node", "env": { "AGENTGATE_URL": "http://localhost:8080" } } } } }, "letme": { "capability": "https://letme.dev/guard.policy", "tool": "https://letme.dev/agentgate" }, "area": "models", "provenance": { "legalEntity": "Mohit Singh (individual)", "domain": "", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://github.com/mohitdebian/AgentGate/blob/main/CHANGELOG.md", "securityTxt": "none", "checked": "2026-10-15", "notes": [ "The licence file reads Copyright (c) 2026 Mohit Singh. The GitHub account mohitdebian links to mohitbuilds.in, a personal developer page.", "No terms or privacy policy. The software runs on the owner's machines, so there is no vendor endpoint or status page to check.", "SECURITY.md routes reports to GitHub private vulnerability reporting or a personal email, with a 48-hour acknowledgement target. No security.txt, since the project has no website.", "CHANGELOG.md holds a single Unreleased line, \"Initial scaffolding for Phase 1\"." ], "score": 53 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/agentgate.json" }, "answer": "Guardrails AI scores 49.6 (D) on agent readiness against AgentGate's 48.5 (D), and leads in 5 of 7 scored categories. AgentGate leads on security \u0026 auth.", "b": { "slug": "guardrails-ai", "name": "Guardrails AI", "vendor": "Guardrails AI (Harvey)", "vendorUrl": "https://www.guardrailsai.com", "kind": "framework", "category": "guardrails", "summary": "Open-source Python framework for validating LLM inputs and outputs, with configurable actions for failed checks and an API server.", "url": "https://www.anchorterminal.com/tools/guardrails-ai", "markdownUrl": "https://www.anchorterminal.com/tools/guardrails-ai.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/guardrails-ai.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/guardrails-ai.json", "repo": "https://github.com/guardrails-ai/guardrails", "license": "Apache-2.0", "transports": [ "http" ], "packages": [ { "registry": "pypi", "name": "guardrails-ai" }, { "registry": "npm", "name": "@guardrails-ai/core" } ], "auth": "none", "authNotes": "None of its own since the Hub closed. Validators install from public PyPI as `guardrails-ai-\u003cname\u003e` with no `guardrails configure` step, and the models behind them run locally or on an endpoint you host. The server has no built-in auth.", "pricing": "free", "pricingNotes": "Apache-2.0 library and server. The hosted remote inference that some validators used (detect_pii, toxic_language, competitor_check, nsfw_text) was free and was switched off on 2026-08-25, so those validators now cost whatever it takes to run their models yourself with use_local=True or on your own endpoint (https://github.com/guardrails-ai/guardrails/blob/main/HUB_UPDATE.md).", "priceSummary": "Free · OSS", "where": "library", "x402": { "level": "no", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 7300, "npmWeekly": 81, "pypiWeekly": 32438, "asOf": "2026-09-30" }, "docsUrl": "https://www.guardrailsai.com/docs", "capabilities": [ "guard.injection", "guard.pii", "guard.moderation", "guard.policy", "guard.self-host" ], "tags": [ "framework", "open-source", "self-hosted", "local", "python", "free", "openai-compatible", "incidents" ], "lastRelease": "2026-08-14", "graded": true, "anchor": { "graded": true, "score": 49.6, "grade": "D", "agentReady": false, "rank": 853, "ranked": true, "rankOf": 1094, "categoryRank": 14, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 63, "maintenance": 44, "payments": 60, "reliability": 58, "schema": 59, "security": 44, "transparency": 59 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": -6, "negativeNotes": [ "2026-05-11 supply-chain compromise. An attacker used an employee's GitHub token to run Actions across 30 repositories, took deploy secrets and published a malicious guardrails-ai 0.10.1 to PyPI. Quarantined in about two hours, tokens rotated, Hub and Snowglobe keys force-rotated on 13 May, and a full advisory published telling anyone who installed 0.10.1 to treat the host as compromised. Fixed and documented, so partly decayed (-6). https://github.com/guardrails-ai/guardrails/blob/main/SECURITY_ADVISORY.md" ], "verdict": "Validators have configurable actions for failed checks. Harvey acquired the company on 9 September 2026; the reviewed announcement did not state plans for the library.", "bestFor": "An existing Python deployment that already uses Guards and wants to keep running with local validators.", "strengths": [ "Guard and validator API that reads well, with an on_fail action per validator", "Validators are plain PyPI packages, from PII and toxicity to schema and competitor checks", "Guardrails Server turns a guard into an OpenAI-compatible endpoint any client can point at", "Full public advisory after the May 2026 incident, with the attack chain and rotation steps", "Apache-2.0 with nothing to buy" ], "weaknesses": [ "Acquired by Harvey on 9 September 2026 with no statement on the library", "Hub, private registry and hosted inference closed on 25 August 2026, so model-backed validators need your own compute", "Malicious 0.10.1 release on PyPI in May 2026 from a compromised token", "0.11.0 has no release notes on GitHub, and open 1.0.0 issues plan to remove reask, on_fail and RAIL", "Metrics on by default in the client config" ], "agentNotes": [ "Pin guardrails-ai==0.11.0 and each guardrails-ai-\u003cvalidator\u003e package, install only from PyPI, and never install 0.10.1", "Import validators from guardrails_ai.\u003cname\u003e, not guardrails.hub, and don't run guardrails hub install", "Pass use_local=True to detect_pii, toxic_language and the other model-backed validators, or set validation_endpoint to a server you run", "Set enable_metrics to false in ~/.guardrailsrc if you don't want usage metrics sent", "Avoid building on reask and RAIL. The open 1.0.0 issues plan to remove both" ], "metrics": { "kind": "library", "measured": false }, "reviewCount": 2, "avgRating": 2, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 49.6 } ], "editorialScores": { "ergonomics": 63, "maintenance": 44, "payments": 60, "reliability": 58, "schema": 59, "security": 44, "transparency": 63 }, "provenanceScore": 55 }, "connect": { "install": "pip install guardrails-ai==0.11.0 guardrails-ai-detect-pii # validators are plain PyPI packages since 2026-08-25", "http": "curl -X POST http://localhost:8000/guards/my_guard/openai/v1/chat/completions \\\n -H \"Content-Type: application/json\" \\\n -d '{\"model\":\"gpt-4o-mini\",\"messages\":[{\"role\":\"user\",\"content\":\"My card number is 4111 1111 1111 1111, is that safe to share?\"}]}'" }, "letme": { "capability": "https://letme.dev/guard.injection", "tool": "https://letme.dev/guardrails-ai" }, "area": "models", "provenance": { "legalEntity": "Guardrails AI, Inc.", "domain": "guardrailsai.com", "domainRegistered": "", "domainNote": "A library. The code is on github.com under guardrails-ai and the packages on PyPI. The company is now part of Harvey (harvey.ai).", "endpointOnVendorDomain": null, "terms": "https://guardrailsai.com/legal/terms-of-use", "privacy": "https://guardrailsai.com/legal/privacy-policy", "statusPage": "", "changelog": "https://github.com/guardrails-ai/guardrails/releases", "securityTxt": "unknown", "checked": "2026-09-30", "notes": [ "The terms of use (last updated 2025-08-14) name Guardrails AI, Inc. and predate the Harvey acquisition. The site banner reads Guardrails AI joins Harvey.", "The advisory names Snowglobe, a sister product whose keys were rotated after the May 2026 incident." ], "score": 55 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/guardrails-ai.json", "live": { "slug": "guardrails-ai", "versions": [ { "registry": "github", "name": "guardrails-ai/guardrails", "version": "v0.11.0", "released": "2026-08-14", "seenAt": "2026-10-14T23:56:40.627739248Z" }, { "registry": "npm", "name": "@guardrails-ai/core", "version": "0.1.1", "seenAt": "2026-10-14T23:56:39.812002215Z" }, { "registry": "pypi", "name": "guardrails-ai", "version": "0.11.0", "released": "2026-08-14", "seenAt": "2026-10-14T23:56:39.617766636Z" } ], "githubStars": 7521, "npmWeekly": 42, "pypiWeekly": 22023, "securityTxt": { "url": "https://guardrailsai.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-14T15:46:24.719201125Z" }, "domain": { "domain": "guardrailsai.com", "registered": "2023-03-30", "source": "https://rdap.verisign.com/com/v1/domain/guardrailsai.com", "checkedAt": "2026-10-11T13:11:00.707352442Z" }, "pages": [ { "url": "https://raw.githubusercontent.com/guardrails-ai/guardrails/main/HUB_UPDATE.md", "kind": "deprecations", "status": 304, "checkedAt": "2026-10-14T21:07:07.557928911Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "346e78b2231d" }, { "url": "https://www.harvey.ai/blog/guardrails-ai-joins-harvey", "kind": "deprecations", "status": 200, "checkedAt": "2026-10-14T21:13:18.148092047Z", "changedAt": "2026-10-13T20:28:29.99017479Z", "fingerprint": "3c1afe37c4f8" }, { "url": "https://guardrailsai.com/legal/privacy-policy", "kind": "privacy", "status": 304, "checkedAt": "2026-10-14T21:01:12.074636069Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "9ee9470cc655" }, { "url": "https://guardrailsai.com/legal/terms-of-use", "kind": "terms", "status": 304, "checkedAt": "2026-10-14T21:01:14.229753257Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "e46fda5fa053" } ], "updatedAt": "2026-10-14T23:56:40.627739248Z" } }, "facts": [ { "a": "HTTP API", "b": "Agent framework", "name": "Kind" }, { "a": "Mohit Singh (mohitdebian)", "b": "Guardrails AI (Harvey)", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP, stdio", "b": "HTTP", "name": "Transports" }, { "a": "None", "b": "None", "name": "Auth" }, { "a": "Free", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "MIT", "b": "Apache-2.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "no", "name": "llms.txt" }, { "a": "none", "b": "2026-08-14", "name": "Last release" }, { "a": "no document linked", "b": "2025-08-14", "name": "Terms last updated" }, { "a": "no document linked", "b": "2025-05-01", "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": "not found in the text", "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": "0 stars", "b": "7.3k stars, 81 npm/wk, 32k PyPI/wk", "name": "Popularity" }, { "a": "none", "b": "2/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "Guardrails AI scores 49.6 (D) on agent readiness against AgentGate's 48.5 (D), and leads in 5 of 7 scored categories. AgentGate leads on security \u0026 auth.", "question": "Which is better for AI agents, AgentGate or Guardrails AI?" }, { "answer": "AgentGate runs on your own machine, with no hosted endpoint listed. No hosted endpoint is listed for Guardrails AI.", "question": "Can an agent call AgentGate and Guardrails AI without installing anything?" }, { "answer": "Yes. AgentGate is open source (MIT). Guardrails AI is open source (Apache-2.0).", "question": "Are AgentGate and Guardrails AI open source?" } ], "goodFor": [ { "aheadOn": [ "Security \u0026 auth, 49 against 44" ], "also": [ "Runs on your own machine", "Free to start without a card", "No incidents deducted, where Guardrails AI loses 6 points for them" ], "goodFor": "A team that wants a self-hosted check between an agent and its shell, database or webhook tools, with a human approval queue.", "slug": "agentgate", "watchFor": "Agent endpoints need no key unless `AG_AGENT_KEY` is set, the proxy binds 0.0.0.0:8080, and the dashboard key defaults to `dev-key-123`" }, { "aheadOn": [ "Reliability, 58 against 44", "Schema \u0026 documentation, 59 against 47", "Agent ergonomics, 63 against 53", "Maintenance \u0026 community, 44 against 28" ], "also": null, "goodFor": "An existing Python deployment that already uses Guards and wants to keep running with local validators.", "slug": "guardrails-ai", "watchFor": "Acquired by Harvey on 9 September 2026 with no statement on the library" } ], "job": { "capability": "guard.policy", "name": "Policy enforcement" }, "others": [ { "json": "https://www.anchorterminal.com/compare/amazon-bedrock-guardrails-vs-guardrails-ai.json", "title": "Amazon Bedrock Guardrails vs Guardrails AI", "url": "https://www.anchorterminal.com/compare/amazon-bedrock-guardrails-vs-guardrails-ai" }, { "json": "https://www.anchorterminal.com/compare/azure-ai-content-safety-vs-guardrails-ai.json", "title": "Azure AI Content Safety (Prompt Shields) vs Guardrails AI", "url": "https://www.anchorterminal.com/compare/azure-ai-content-safety-vs-guardrails-ai" }, { "json": "https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-guardrails-ai.json", "title": "Cisco AI Defense Inspection API vs Guardrails AI", "url": "https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-guardrails-ai" }, { "json": "https://www.anchorterminal.com/compare/google-model-armor-vs-guardrails-ai.json", "title": "Google Cloud Model Armor vs Guardrails AI", "url": "https://www.anchorterminal.com/compare/google-model-armor-vs-guardrails-ai" }, { "json": "https://www.anchorterminal.com/compare/guardrails-ai-vs-lakera-guard.json", "title": "Guardrails AI vs Lakera Guard (Check Point AI Guardrails)", "url": "https://www.anchorterminal.com/compare/guardrails-ai-vs-lakera-guard" }, { "json": "https://www.anchorterminal.com/compare/guardrails-ai-vs-llamafirewall.json", "title": "Guardrails AI vs LlamaFirewall", "url": "https://www.anchorterminal.com/compare/guardrails-ai-vs-llamafirewall" }, { "json": "https://www.anchorterminal.com/compare/guardrails-ai-vs-nemo-guardrails.json", "title": "Guardrails AI vs NVIDIA NeMo Guardrails", "url": "https://www.anchorterminal.com/compare/guardrails-ai-vs-nemo-guardrails" }, { "json": "https://www.anchorterminal.com/compare/guardrails-ai-vs-openai-guardrails.json", "title": "Guardrails AI vs OpenAI Guardrails", "url": "https://www.anchorterminal.com/compare/guardrails-ai-vs-openai-guardrails" }, { "json": "https://www.anchorterminal.com/compare/guardrails-ai-vs-prisma-airs.json", "title": "Guardrails AI vs Prisma AIRS AI Runtime Security API", "url": "https://www.anchorterminal.com/compare/guardrails-ai-vs-prisma-airs" }, { "json": "https://www.anchorterminal.com/compare/granite-guardian-vs-guardrails-ai.json", "title": "Granite Guardian vs Guardrails AI", "url": "https://www.anchorterminal.com/compare/granite-guardian-vs-guardrails-ai" }, { "json": "https://www.anchorterminal.com/compare/guardrails-ai-vs-llama-guard.json", "title": "Guardrails AI vs Llama Guard 4", "url": "https://www.anchorterminal.com/compare/guardrails-ai-vs-llama-guard" }, { "json": "https://www.anchorterminal.com/compare/guardrails-ai-vs-mistral-moderation.json", "title": "Guardrails AI vs Mistral Moderation API", "url": "https://www.anchorterminal.com/compare/guardrails-ai-vs-mistral-moderation" }, { "json": "https://www.anchorterminal.com/compare/guardrails-ai-vs-openai-moderation.json", "title": "Guardrails AI vs OpenAI Moderation API", "url": "https://www.anchorterminal.com/compare/guardrails-ai-vs-openai-moderation" }, { "json": "https://www.anchorterminal.com/compare/agentgate-vs-amazon-bedrock-guardrails.json", "title": "AgentGate vs Amazon Bedrock Guardrails", "url": "https://www.anchorterminal.com/compare/agentgate-vs-amazon-bedrock-guardrails" }, { "json": "https://www.anchorterminal.com/compare/agentgate-vs-azure-ai-content-safety.json", "title": "AgentGate vs Azure AI Content Safety (Prompt Shields)", "url": "https://www.anchorterminal.com/compare/agentgate-vs-azure-ai-content-safety" }, { "json": "https://www.anchorterminal.com/compare/agentgate-vs-cisco-ai-defense-inspection.json", "title": "AgentGate vs Cisco AI Defense Inspection API", "url": "https://www.anchorterminal.com/compare/agentgate-vs-cisco-ai-defense-inspection" }, { "json": "https://www.anchorterminal.com/compare/agentgate-vs-google-model-armor.json", "title": "AgentGate vs Google Cloud Model Armor", "url": "https://www.anchorterminal.com/compare/agentgate-vs-google-model-armor" }, { "json": "https://www.anchorterminal.com/compare/agentgate-vs-granite-guardian.json", "title": "AgentGate vs Granite Guardian", "url": "https://www.anchorterminal.com/compare/agentgate-vs-granite-guardian" }, { "json": "https://www.anchorterminal.com/compare/agentgate-vs-lakera-guard.json", "title": "AgentGate vs Lakera Guard (Check Point AI Guardrails)", "url": "https://www.anchorterminal.com/compare/agentgate-vs-lakera-guard" }, { "json": "https://www.anchorterminal.com/compare/agentgate-vs-llama-guard.json", "title": "AgentGate vs Llama Guard 4", "url": "https://www.anchorterminal.com/compare/agentgate-vs-llama-guard" }, { "json": "https://www.anchorterminal.com/compare/agentgate-vs-llamafirewall.json", "title": "AgentGate vs LlamaFirewall", "url": "https://www.anchorterminal.com/compare/agentgate-vs-llamafirewall" }, { "json": "https://www.anchorterminal.com/compare/agentgate-vs-mistral-moderation.json", "title": "AgentGate vs Mistral Moderation API", "url": "https://www.anchorterminal.com/compare/agentgate-vs-mistral-moderation" }, { "json": "https://www.anchorterminal.com/compare/agentgate-vs-nemo-guardrails.json", "title": "AgentGate vs NVIDIA NeMo Guardrails", "url": "https://www.anchorterminal.com/compare/agentgate-vs-nemo-guardrails" }, { "json": "https://www.anchorterminal.com/compare/agentgate-vs-openai-guardrails.json", "title": "AgentGate vs OpenAI Guardrails", "url": "https://www.anchorterminal.com/compare/agentgate-vs-openai-guardrails" }, { "json": "https://www.anchorterminal.com/compare/agentgate-vs-prisma-airs.json", "title": "AgentGate vs Prisma AIRS AI Runtime Security API", "url": "https://www.anchorterminal.com/compare/agentgate-vs-prisma-airs" }, { "json": "https://www.anchorterminal.com/compare/guardrails-ai-vs-microsoft-presidio.json", "title": "Guardrails AI vs Presidio", "url": "https://www.anchorterminal.com/compare/guardrails-ai-vs-microsoft-presidio" }, { "json": "https://www.anchorterminal.com/compare/agentgate-vs-microsoft-presidio.json", "title": "AgentGate vs Presidio", "url": "https://www.anchorterminal.com/compare/agentgate-vs-microsoft-presidio" } ], "scores": [ { "agentgate": 44, "by": 14, "edge": "guardrails-ai", "guardrails-ai": 58, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "agentgate": 47, "by": 12, "edge": "guardrails-ai", "guardrails-ai": 59, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "agentgate": 53, "by": 10, "edge": "guardrails-ai", "guardrails-ai": 63, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "agentgate": 49, "by": 5, "edge": "agentgate", "guardrails-ai": 44, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "agentgate": 60, "by": 0, "edge": "", "guardrails-ai": 60, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "agentgate": 28, "by": 16, "edge": "guardrails-ai", "guardrails-ai": 44, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "agentgate": 56, "by": 3, "edge": "guardrails-ai", "guardrails-ai": 59, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Guardrails AI scores 49.6 (D) on agent readiness against AgentGate's 48.5 (D), and leads in 5 of 7 scored categories. AgentGate leads on security \u0026 auth. Both do policy enforcement.", "verdicts": { "agentgate": "An agent or its host can send each tool call to one REST endpoint, or wrap an MCP server, and get allow, deny or ask from a local classifier and a YAML policy, with an audit log and approval queue. The project is three days old, auth is off by default, and no detection accuracy is published.", "guardrails-ai": "Validators have configurable actions for failed checks. Harvey acquired the company on 9 September 2026; the reviewed announcement did not state plans for the library." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/agentgate-vs-guardrails-ai", "json": "https://www.anchorterminal.com/compare/agentgate-vs-guardrails-ai.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/agentgate-vs-guardrails-ai.md", "slim": "https://www.anchorterminal.com/compare/agentgate-vs-guardrails-ai.min.md" }, "markdown": "Guardrails AI scores 49.6 (D) on agent readiness against AgentGate's 48.5 (D), and leads in 5 of 7 scored categories. AgentGate leads on security \u0026 auth. Both do policy enforcement.\n\n- AgentGate: grade D, 48.5/100, rank #883 of 1094. Markdown https://www.anchorterminal.com/tools/agentgate.md · JSON https://www.anchorterminal.com/api/v1/tools/agentgate.json\n- Guardrails AI: grade D, 49.6/100, rank #853 of 1094. Markdown https://www.anchorterminal.com/tools/guardrails-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/guardrails-ai.json\n- Best guardrails and safety filters for AI agents: https://www.anchorterminal.com/best/guardrails/index.md\n- All 132 guardrails comparisons: https://www.anchorterminal.com/compare/guardrails/index.md\n\n## Which one, for what\n\n### AgentGate (D)\n\nGood for: A team that wants a self-hosted check between an agent and its shell, database or webhook tools, with a human approval queue.\n\nAhead on:\n- Security \u0026 auth, 49 against 44\n\nAlso in its favour:\n- Runs on your own machine\n- Free to start without a card\n- No incidents deducted, where Guardrails AI loses 6 points for them\n\nWatch for: Agent endpoints need no key unless `AG_AGENT_KEY` is set, the proxy binds 0.0.0.0:8080, and the dashboard key defaults to `dev-key-123`\n\n### Guardrails AI (D)\n\nGood for: An existing Python deployment that already uses Guards and wants to keep running with local validators.\n\nAhead on:\n- Reliability, 58 against 44\n- Schema \u0026 documentation, 59 against 47\n- Agent ergonomics, 63 against 53\n- Maintenance \u0026 community, 44 against 28\n\nWatch for: Acquired by Harvey on 9 September 2026 with no statement on the library\n\n\n## Score by category\n\n| Category | Weight | AgentGate | Guardrails AI | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 44 | 58 | Guardrails AI +14 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 47 | 59 | Guardrails AI +12 |\n| Agent ergonomics | 13% (16.2 this run) | 53 | 63 | Guardrails AI +10 |\n| Security \u0026 auth | 14% (17.5 this run) | 49 | 44 | AgentGate +5 |\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) | 28 | 44 | Guardrails AI +16 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 56 | 59 | Guardrails AI +3 |\n| Negative events | ≤15 | 0 | -6 | |\n| **Total** | | **48.5 · D** | **49.6 · D** | |\n\n## Facts side by side\n\n| Fact | AgentGate | Guardrails AI |\n| --- | --- | --- |\n| Kind | HTTP API | Agent framework |\n| Vendor | Mohit Singh (mohitdebian) | Guardrails AI (Harvey) |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | HTTP, stdio | HTTP |\n| Auth | None | None |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | MIT | Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | none | 2026-08-14 |\n| Terms last updated | no document linked | 2025-08-14 |\n| Privacy policy last updated | no document linked | 2025-05-01 |\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 | | not found in the text |\n| Terms or service can change without notice | | not found in the text |\n| Arbitration or class-action waiver | | yes |\n| Popularity | 0 stars | 7.3k stars, 81 npm/wk, 32k PyPI/wk |\n| Agent reviews | none | 2/5 (2) |\n\n## Verdicts\n\n**AgentGate.** An agent or its host can send each tool call to one REST endpoint, or wrap an MCP server, and get allow, deny or ask from a local classifier and a YAML policy, with an audit log and approval queue. The project is three days old, auth is off by default, and no detection accuracy is published.\n\n**Guardrails AI.** Validators have configurable actions for failed checks. Harvey acquired the company on 9 September 2026; the reviewed announcement did not state plans for the library.\n\n## Before you call either\n\n### AgentGate\n\n1. Create a session with the user's real goal first. The goal-alignment head scores every later call against it\n2. Pass earlier tool results in `history_override` with `untrusted: true` for web or email content, or the injection head sees only the action\n3. On `ask`, stop and tell the user the `decision_id`. Polling `/v1/decisions/:id` needs the dashboard key\n4. Treat `allow_with_checkpoint` as allow and keep the `checkpoint_id` for an undo\n5. Expect HTTP 404 with `not_found` for an unknown session and 401 when the owner has set an agent key\n\n### Guardrails AI\n\n1. Pin guardrails-ai==0.11.0 and each guardrails-ai-\u003cvalidator\u003e package, install only from PyPI, and never install 0.10.1\n2. Import validators from guardrails_ai.\u003cname\u003e, not guardrails.hub, and don't run guardrails hub install\n3. Pass use_local=True to detect_pii, toxic_language and the other model-backed validators, or set validation_endpoint to a server you run\n4. Set enable_metrics to false in ~/.guardrailsrc if you don't want usage metrics sent\n5. Avoid building on reask and RAIL. The open 1.0.0 issues plan to remove both\n\n## Questions\n\n### Which is better for AI agents, AgentGate or Guardrails AI?\n\nGuardrails AI scores 49.6 (D) on agent readiness against AgentGate's 48.5 (D), and leads in 5 of 7 scored categories. AgentGate leads on security \u0026 auth.\n\n### Can an agent call AgentGate and Guardrails AI without installing anything?\n\nAgentGate runs on your own machine, with no hosted endpoint listed. No hosted endpoint is listed for Guardrails AI.\n\n### Are AgentGate and Guardrails AI open source?\n\nYes. AgentGate is open source (MIT). Guardrails AI is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/agentgate-vs-guardrails-ai.json, and with the fewest tokens: https://www.anchorterminal.com/compare/agentgate-vs-guardrails-ai.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"agentgate\", \"b\": \"guardrails-ai\"}`. From a terminal: `anchor compare agentgate guardrails-ai`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/agentgate.json and https://www.anchorterminal.com/api/v1/tools/guardrails-ai.json\n\n## Other comparisons with AgentGate or Guardrails AI\n\n- [Amazon Bedrock Guardrails vs Guardrails AI](https://www.anchorterminal.com/compare/amazon-bedrock-guardrails-vs-guardrails-ai.md)\n- [Azure AI Content Safety (Prompt Shields) vs Guardrails AI](https://www.anchorterminal.com/compare/azure-ai-content-safety-vs-guardrails-ai.md)\n- [Cisco AI Defense Inspection API vs Guardrails AI](https://www.anchorterminal.com/compare/cisco-ai-defense-inspection-vs-guardrails-ai.md)\n- [Google Cloud Model Armor vs Guardrails AI](https://www.anchorterminal.com/compare/google-model-armor-vs-guardrails-ai.md)\n- [Guardrails AI vs Lakera Guard (Check Point AI Guardrails)](https://www.anchorterminal.com/compare/guardrails-ai-vs-lakera-guard.md)\n- [Guardrails AI vs LlamaFirewall](https://www.anchorterminal.com/compare/guardrails-ai-vs-llamafirewall.md)\n- [Guardrails AI vs NVIDIA NeMo Guardrails](https://www.anchorterminal.com/compare/guardrails-ai-vs-nemo-guardrails.md)\n- [Guardrails AI vs OpenAI Guardrails](https://www.anchorterminal.com/compare/guardrails-ai-vs-openai-guardrails.md)\n- [Guardrails AI vs Prisma AIRS AI Runtime Security API](https://www.anchorterminal.com/compare/guardrails-ai-vs-prisma-airs.md)\n- [Granite Guardian vs Guardrails AI](https://www.anchorterminal.com/compare/granite-guardian-vs-guardrails-ai.md)\n- [Guardrails AI vs Llama Guard 4](https://www.anchorterminal.com/compare/guardrails-ai-vs-llama-guard.md)\n- [Guardrails AI vs Mistral Moderation API](https://www.anchorterminal.com/compare/guardrails-ai-vs-mistral-moderation.md)\n- [Guardrails AI vs OpenAI Moderation API](https://www.anchorterminal.com/compare/guardrails-ai-vs-openai-moderation.md)\n- [AgentGate vs Amazon Bedrock Guardrails](https://www.anchorterminal.com/compare/agentgate-vs-amazon-bedrock-guardrails.md)\n- [AgentGate vs Azure AI Content Safety (Prompt Shields)](https://www.anchorterminal.com/compare/agentgate-vs-azure-ai-content-safety.md)\n- [AgentGate vs Cisco AI Defense Inspection API](https://www.anchorterminal.com/compare/agentgate-vs-cisco-ai-defense-inspection.md)\n- [AgentGate vs Google Cloud Model Armor](https://www.anchorterminal.com/compare/agentgate-vs-google-model-armor.md)\n- [AgentGate vs Granite Guardian](https://www.anchorterminal.com/compare/agentgate-vs-granite-guardian.md)\n- [AgentGate vs Lakera Guard (Check Point AI Guardrails)](https://www.anchorterminal.com/compare/agentgate-vs-lakera-guard.md)\n- [AgentGate vs Llama Guard 4](https://www.anchorterminal.com/compare/agentgate-vs-llama-guard.md)\n- [AgentGate vs LlamaFirewall](https://www.anchorterminal.com/compare/agentgate-vs-llamafirewall.md)\n- [AgentGate vs Mistral Moderation API](https://www.anchorterminal.com/compare/agentgate-vs-mistral-moderation.md)\n- [AgentGate vs NVIDIA NeMo Guardrails](https://www.anchorterminal.com/compare/agentgate-vs-nemo-guardrails.md)\n- [AgentGate vs OpenAI Guardrails](https://www.anchorterminal.com/compare/agentgate-vs-openai-guardrails.md)\n- [AgentGate vs Prisma AIRS AI Runtime Security API](https://www.anchorterminal.com/compare/agentgate-vs-prisma-airs.md)\n- [Guardrails AI vs Presidio](https://www.anchorterminal.com/compare/guardrails-ai-vs-microsoft-presidio.md)\n- [AgentGate vs Presidio](https://www.anchorterminal.com/compare/agentgate-vs-microsoft-presidio.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": "2026-10-15", "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": "AgentGate vs Guardrails AI", "url": "" } ], "description": "Guardrails AI scores 49.6 (D) to AgentGate's 48.5 (D) for policy enforcement. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "AgentGate D 48.5", "Guardrails AI D 49.6", "scores" ], "h1": "AgentGate vs Guardrails AI", "image": "https://www.anchorterminal.com/assets/og/compare-agentgate-vs-guardrails-ai.png", "path": "/compare/agentgate-vs-guardrails-ai", "published": "2026-10-01", "section": "tools", "title": "AgentGate vs Guardrails AI for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-15", "url": "https://www.anchorterminal.com/compare/agentgate-vs-guardrails-ai" }, "tokens": { "markdown": 2550, "slim": 680 }, "version": 1 }