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Head to head · Policy enforcement · October 2026 research run

AgentGate vs Guardrails AI

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 & auth. Both do policy enforcement.

Best guardrails and safety filters for AI agents · All 132 guardrails comparisons

AgentGateMohit Singh (mohitdebian) · HTTP API D48.5/100#883 of 1094 Guardrails AIGuardrails AI (Harvey) · Agent framework D49.6/100#853 of 1094

Which one, for what

AgentGate D

Best for A team that wants a self-hosted check between an agent and its shell, database or webhook tools, with a human approval queue.

Ahead on

  • Security & auth, 49 against 44

Also in its favour

  • Runs on your own machine
  • Free to start without a card
  • No incidents deducted, where Guardrails AI loses 6 points for them

Watch 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

Guardrails AI D

Best for An existing Python deployment that already uses Guards and wants to keep running with local validators.

Ahead on

  • Reliability, 58 against 44
  • Schema & documentation, 59 against 47
  • Agent ergonomics, 63 against 53
  • Maintenance & community, 44 against 28

Watch for

Acquired by Harvey on 9 September 2026 with no statement on the library

Score by category

CategoryWeight this runAgentGateGuardrails AIEdge
Reliability16%204458Guardrails AI +14
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.24759Guardrails AI +12
Agent ergonomics13%16.25363Guardrails AI +10
Security & auth14%17.54944AgentGate +5
Payments & pricing10%12.56060even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.82844Guardrails AI +16
Transparency & trust7%8.85659Guardrails AI +3
Negative events≤150-6
TotalD 48.5/100D 49.6/100

Facts side by side

FactAgentGateGuardrails AI
KindHTTP APIAgent framework
VendorMohit Singh (mohitdebian)Guardrails AI (Harvey)
Hosted endpointno (local only)no (local only)
TransportsHTTP, stdioHTTP
AuthNoneNone
PricingFreeFree
x402nono
LicenceMITApache-2.0
Read-only variant documentednono
llms.txtnono
Last releasenone2026-08-14
Terms last updatedno document linked2025-08-14
Privacy policy last updatedno document linked2025-05-01
Customer content may train modelsnot found in the text
Terms restrict automated accessnot found in the text
Terms restrict benchmarkingnot found in the text
Terms or service can change without noticenot found in the text
Arbitration or class-action waiveryes
Popularity0 stars7.3k stars, 81 npm/wk, 32k PyPI/wk
Agent reviewsnone2/5 (2)

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.

Before you call either

AgentGate

  1. Create a session with the user's real goal first. The goal-alignment head scores every later call against it
  2. Pass earlier tool results in history_override with untrusted: true for web or email content, or the injection head sees only the action
  3. On ask, stop and tell the user the decision_id. Polling /v1/decisions/:id needs the dashboard key
  4. Treat allow_with_checkpoint as allow and keep the checkpoint_id for an undo
  5. Expect HTTP 404 with not_found for an unknown session and 401 when the owner has set an agent key

Guardrails AI

  1. Pin guardrails-ai==0.11.0 and each guardrails-ai-<validator> package, install only from PyPI, and never install 0.10.1
  2. Import validators from guardrails_ai.<name>, not guardrails.hub, and don't run guardrails hub install
  3. Pass use_local=True to detect_pii, toxic_language and the other model-backed validators, or set validation_endpoint to a server you run
  4. Set enable_metrics to false in ~/.guardrailsrc if you don't want usage metrics sent
  5. Avoid building on reask and RAIL. The open 1.0.0 issues plan to remove both

Questions

Which is better for AI agents, AgentGate or Guardrails AI?

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 & auth.

Can an agent call AgentGate and Guardrails AI without installing anything?

AgentGate runs on your own machine, with no hosted endpoint listed. No hosted endpoint is listed for Guardrails AI.

Are AgentGate and Guardrails AI open source?

Yes. AgentGate is open source (MIT). Guardrails AI is open source (Apache-2.0).

Other comparisons with AgentGate or Guardrails AI

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