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Head to head · Policy enforcement · October 2026 research run

AgentGate vs LlamaFirewall

LlamaFirewall scores 50.8 (D) on agent readiness against AgentGate's 48.5 (D), and leads in 5 of 7 scored categories. AgentGate leads on payments & pricing and maintenance & community. 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 LlamaFirewallMeta · Agent framework D50.8/100#828 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

  • Payments & pricing, 60 against 50
  • Maintenance & community, 28 against 15

Also in its favour

  • Runs on your own machine
  • Free to start without a card

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

LlamaFirewall D

Best for A Python agent team that wants injection, hidden-character and generated-code checks in process, is willing to pin dependencies or install from main, and can get the gated weights.

Ahead on

  • Reliability, 53 against 44
  • Agent ergonomics, 60 against 53
  • Security & auth, 56 against 49

Watch for

No PyPI release since 1.0.3 on 29 May 2025, and no changelog, tags or deprecation notes were found

Score by category

CategoryWeight this runAgentGateLlamaFirewallEdge
Reliability16%204453LlamaFirewall +9
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.24749LlamaFirewall +2
Agent ergonomics13%16.25360LlamaFirewall +7
Security & auth14%17.54956LlamaFirewall +7
Payments & pricing10%12.56050AgentGate +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.82815AgentGate +13
Transparency & trust7%8.85658LlamaFirewall +2
Negative events≤1500
TotalD 48.5/100D 50.8/100

Facts side by side

FactAgentGateLlamaFirewall
KindHTTP APIAgent framework
VendorMohit Singh (mohitdebian)Meta
Hosted endpointno (local only)no (local only)
TransportsHTTP, stdio
AuthNoneNone
PricingFreeFree
x402nono
LicenceMITMIT (library). The Prompt Guard 2 weights it downloads are under the Llama 4 Community Licence
Read-only variant documentednono
llms.txtnono
Last releasenone2025-05-29
Terms last updatedno document linkedno document linked
Privacy policy last updatedno document linkedno document linked
Customer content may train models
Terms restrict automated access
Terms restrict benchmarking
Terms or service can change without notice
Arbitration or class-action waiver
Popularity0 stars4.4k stars, 1k PyPI/wk

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.

LlamaFirewall

One scan() call runs several checks on the owner's machine and returns a short typed result. The last PyPI release is 1.0.3 from 29 May 2025, and its Prompt Guard loader imports a huggingface_hub class that current versions no longer export, so a fresh install needs older pins. The classifier weights also need Meta's manual approval.

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

LlamaFirewall

  1. Pin huggingface_hub below 1.0 and a matching transformers 4.x before importing the Prompt Guard scanner from the 1.0.3 wheel, or install from main
  2. Get access to meta-llama/Llama-Prompt-Guard-2-86M and set a Hugging Face token first. Without one the loader prompts for a login and a headless run stalls
  3. Call scan_async inside a running event loop. scan() wraps asyncio.run and fails there. scan_async returns score 0.0 and reason default on every allow
  4. Split text longer than 512 tokens yourself before a Prompt Guard scan. The library truncates and does not chunk
  5. Do not feed a block reason back to the model. The Prompt Guard reason quotes the full scanned text, and the hidden ASCII reason decodes the hidden payload

Questions

Which is better for AI agents, AgentGate or LlamaFirewall?

LlamaFirewall scores 50.8 (D) on agent readiness against AgentGate's 48.5 (D), and leads in 5 of 7 scored categories. AgentGate leads on payments & pricing and maintenance & community.

Can an agent call AgentGate and LlamaFirewall without installing anything?

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

Are AgentGate and LlamaFirewall open source?

Yes. AgentGate is open source (MIT). LlamaFirewall is open source (MIT (library). The Prompt Guard 2 weights it downloads are under the Llama 4 Community Licence).

Other comparisons with AgentGate or LlamaFirewall

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