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MandateClaw

mandateclaw.comInfrastructure

PulseGate's liveness check found it on 13 Sep 2026; it is registered on GitHub and has been in the index since 28 Jun 2026. How this is checked

MandateClaw is an open-core Ruby library and registry for defining, signing, and auditing programmatic contracts that govern AI agent behaviour in regulated workflows. It is aimed at engineers deploying agents in fintech, legal, healthcare, and government, where informal prompts and opaque controls are described as inadequate for compliance.

Inferred · not functionally tested

Open SourceMITWebSelf-hosted
MandateClaw preview
Visit mandateclaw.com

Overview

5 features

Purpose: Enabling engineers to define, sign, and audit enforceable contracts for AI agent behavior in regulated workflows.

Inferred · not functionally tested

Audience: engineers deploying AI agents

Inferred · not functionally tested

Functions: agents, monitoring

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: unknown · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: MIT · platforms: WEB · deployment: browser, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: mandateclaw.com · github.com. These links do not verify the individual claims.

MandateClaw sits in PulseGate's AI security & guardrails category. Inferred · not functionally tested: It focuses on enabling engineers to define, sign, and audit enforceable contracts for AI agent behavior in regulated workflows. Inferred · not functionally tested: MandateClaw is an open-source project aimed at engineers deploying AI agents. Basis unknown · not verified: MandateClaw is open source under the MIT license. Basis unknown · not verified: It runs on the web, and it can be self-hosted.

MandateClaw first shipped in 2026. The project is developed in the open on GitHub with 3 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include contract definition, audit logging, and Ruby DSL. Inferred · not functionally tested: Catalogued interfaces include a public API.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Contract definition
  • Audit logging
  • Ruby DSL
  • Agent registry
  • Compliance support

Topics: Inferred · not functionally tested

Tags
ai-agent-complianceruby-librarycontract-dsl

JSON profile · Text profile · Access guide

Built with & integrations

Hosting
Cloudflare
Connectors
API
Runs on
BrowserSelf-hosted
Detected from
Cloudflare
cf-ray header · cf-cache-status header

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

Nothing recorded for this listing in this window.

Frequently asked questions about MandateClaw

What is MandateClaw?
Inferred · not functionally tested: MandateClaw focuses on enabling engineers to define, sign, and audit enforceable contracts for AI agent behavior in regulated workflows. It is catalogued under AI security & guardrails on PulseGate.
Who is MandateClaw for?
Inferred · not functionally tested: MandateClaw is an open-source project built for engineers deploying AI agents.
Does MandateClaw have a free plan?
Basis unknown · not verified: Yes — MandateClaw is open source under the MIT license and free to use.
What platforms does MandateClaw run on?
Basis unknown · not verified: MandateClaw runs on the web. It can also be self-hosted.
Is MandateClaw still maintained?
PulseGate's liveness check found it on 13 Sep 2026. Its GitHub repository shows 3 commits in the last 90 days.
What projects are similar to MandateClaw?
Similar projects tracked by PulseGate include ClawCodex, CashClaw Ai, and DashClaw.ClawCodexCashClaw AiDashClaw
When did MandateClaw launch?
MandateClaw first shipped in 2026.
Is MandateClaw open source?
Basis unknown · not verified: Yes — MandateClaw is open source under the MIT license, developed on GitHub.

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