consequa-x
No liveness check has reached it yet; it is registered on GitHub and PyPI and has been in the index since 14 Oct 2026. How this is checked
consequa-x is an MIT-licensed Python package that provides evidence-aware explanations for consequential actions taken by AI agents. It is intended for developers and researchers building systems that need traceability and governance around agent decisions.
Inferred · not functionally tested
Overview
4 featuresPurpose: Explaining consequential agent actions with traceable evidence and accountability.
Inferred · not functionally tested
Audience: AI agent developers and researchers
Inferred · not functionally tested
Functions: agents
Inferred · not functionally tested
Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: pypi.org · github.com. These links do not verify the individual claims.
consequa-x sits in PulseGate's Agent monitoring & governance category. Inferred · not functionally tested: It focuses on explaining consequential agent actions with traceable evidence and accountability. Inferred · not functionally tested: It is built as an open-source project for AI agent developers and researchers. Basis unknown · not verified: consequa-x is open source under the MIT license. Basis unknown · not verified: It runs on the command line, and it can be self-hosted.
Devrajsinh Jhala builds and maintains consequa-x, and it first shipped in 2026. Inferred · not functionally tested: Key capabilities include evidence-aware explanations, agent action analysis, and consequential action tracing.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Evidence-aware explanations
- Agent action analysis
- Consequential action tracing
- Traceable evidence
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed14 Oct · 16:13 UTCconsequa-x seen via PyPI Bulk EnumeratorSource: PyPI Bulk Enumerator · Open
Frequently asked questions about consequa-x
- What does consequa-x do?
- Inferred · not functionally tested: Consequa-x focuses on explaining consequential agent actions with traceable evidence and accountability. It is catalogued under Agent monitoring & governance on PulseGate.
- Who should use consequa-x?
- Inferred · not functionally tested: consequa-x is an open-source project built for AI agent developers and researchers.
- Is consequa-x free?
- Basis unknown · not verified: Yes — consequa-x is open source under the MIT license and free to use.
- What platforms does consequa-x run on?
- Basis unknown · not verified: consequa-x runs on the command line. It can also be self-hosted.
- Is consequa-x still active?
- Unverified. consequa-x has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
- What are alternatives to consequa-x?
- Similar projects tracked by PulseGate include sf-smartwatch, OpenController, and Problems.sf-smartwatchOpenControllerProblems
- Who makes consequa-x?
- consequa-x is developed by Devrajsinh Jhala.
- When did consequa-x launch?
- consequa-x first shipped in 2026.
Also in Agent monitoring & governance
Same category — not a similarity match