Hacker ApprovedDepartments

FireClaw

Shares rank 2 of 5 agent firewalls by recommenders

Recommended for defending AI agents from prompt injection with a proxy that filters inputs and needs no containers.

Recommended for defending AI agents from prompt injection with a proxy that filters inputs and needs no containers.

5 people gave an opinion

recommend it
5
criticize it
0
approval share
100%
Each figure is one person. RecommendsCriticizes

Recommended in 2 of 13 months

  1. November 2025: not recommended
  2. December 2025: not recommended
  3. January 2026: not recommended
  4. February 2026: recommended
  5. March 2026: recommended
  6. April 2026: not recommended
  7. May 2026: not recommended
  8. June 2026: not recommended
  9. July 2026: not recommended
  10. August 2026: not recommended
  11. September 2026: not recommended
  12. October 2026: not recommended
  13. November 2026: not recommended (month in progress)

Why it doesn’t carry the badge

  • 5 people recommend itNeeds 10 or more, not met.
  • Nobody criticizes itNeeds 2 to 1 or better, met.
  • Recommended in 2 of 13 monthsNeeds 4 or more, not met.

The same three rules apply to every product, and the badge can’t be bought. How the badge works

What people say about it

The reasons people give, with the number of comments that give each one. Open a reason to read what they said.

Why people recommend it

Each mark is one comment

  • Sanitizes inputs against agent hijacking

    “FireClaw sanitizes inputs (is this content trying to hijack the agent?)”

    Comment from 23 Mar 2026 in “Show HN: FireClaw – Open-source proxy defending AI agents from prompt injection”

    “FireClaw handles the input side well.”

    Comment from 17 Mar 2026 in “Show HN: FireClaw – Open-source proxy defending AI agents from prompt injection”
  • Positive interest from developers

    “this is cool, definitely going to look into it and probably try to integrate it with my opensource project”

    Comment from 17 Mar 2026 in “Show HN: FireClaw – Open-source proxy defending AI agents from prompt injection”

    “nice concept. open claw is very valuable so this will help solve that”

    Comment from 17 Mar 2026 in “Show HN: FireClaw – Open-source proxy defending AI agents from prompt injection”

Other agent firewalls people recommend

The four most recommended other agent firewalls, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.

FireClaw compared with 4 alternatives
ProductRecommendCriticizeApprovalMonthsOwnedBadge
Claw Patrol80100%1——
FireClawThis page50100%2——
AgentGate50100%2——
AgentArmor50100%2——
AgentGuard5183%1——
See all 5 agent firewalls, ranked

What people said

All 6 comments that mention it, newest first. Each links to the original comment.

“FireClaw sanitizes inputs (is this content trying to hijack the agent?)”

RecommendsComment from 23 Mar 2026 in “Show HN: FireClaw – Open-source proxy defending AI agents from prompt injection”

“FireClaw handles the input side well.”

RecommendsComment from 17 Mar 2026 in “Show HN: FireClaw – Open-source proxy defending AI agents from prompt injection”

“this is cool, definitely going to look into it and probably try to integrate it with my opensource project”

RecommendsComment from 17 Mar 2026 in “Show HN: FireClaw – Open-source proxy defending AI agents from prompt injection”

“nice concept. open claw is very valuable so this will help solve that”

RecommendsComment from 17 Mar 2026 in “Show HN: FireClaw – Open-source proxy defending AI agents from prompt injection”

“Proxy architecture, not just detection. 4-stage pipeline, no bypass mode, community threat feed.”

RecommendsComment from 17 Mar 2026 in “Show HN: FireClaw – Open-source proxy defending AI agents from prompt injection”

“No containers, no complex setup—just download and run.”

RecommendsComment from 4 Feb 2026 in “FireClaw: Personal OpenClaw assistant in a single binary, built on Firecracker”

Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.