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agentgap

PyPIInfrastructure

PulseGate's liveness check found it on 3 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 20 Aug 2026. How this is checked

agentgap is an open-source, read-only auditing tool for evaluating the reliability and safety of AI agent repositories. It uses static analysis and sandbox-oriented checks to help developers identify risks without changing repository contents.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
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Overview

6 features

Purpose: Auditing AI agent repositories for reliability and safety issues without modifying their code.

Inferred · not functionally tested

Audience: AI agent developers and repository maintainers

Inferred · not functionally tested

Functions: monitoring

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.

agentgap is an AI security & guardrails project. Inferred · not functionally tested: It focuses on auditing AI agent repositories for reliability and safety issues without modifying their code. Inferred · not functionally tested: It is built as an open-source project for AI agent developers and repository maintainers. Basis unknown · not verified: agentgap is open source under the MIT license. Basis unknown · not verified: agentgap is available on the command line, and it can be self-hosted.

It is developed by Ayush Kumar, and it first shipped in 2026. Development happens publicly on GitHub with 32 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are read-only auditing, static analysis, and safety checks.

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

Tasks: Inferred · not functionally tested

  • Read-only auditing
  • Static analysis
  • Safety checks
  • Reliability analysis
  • Sandbox analysis
  • Repository scanning

Topics: Inferred · not functionally tested

Tags
ai-agent-auditingstatic-analysisrepository-safetyllm-reliability

JSON profile · Text profile · Access guide

Built with & integrations

AI providers
openai
Runs on
CLISelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed20 Aug · 05:51 UTC
    agentgap seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open

Frequently asked questions about agentgap

What does agentgap do?
Inferred · not functionally tested: Agentgap focuses on auditing AI agent repositories for reliability and safety issues without modifying their code. It is catalogued under AI security & guardrails on PulseGate.
Who is agentgap for?
Inferred · not functionally tested: agentgap is an open-source project built for AI agent developers and repository maintainers.
Does agentgap have a free plan?
Basis unknown · not verified: Yes — agentgap is open source under the MIT license and free to use.
What platforms does agentgap run on?
Basis unknown · not verified: agentgap runs on the command line. It can also be self-hosted.
Is agentgap still active?
PulseGate's liveness check found it on 3 Oct 2026. Its GitHub repository shows 32 commits in the last 90 days.
What are alternatives to agentgap?
Similar projects tracked by PulseGate include agent-assurance, agent-gate-sec, and agentreachguard.agent-assuranceagent-gate-secagentreachguard
Who develops agentgap?
agentgap is developed by Ayush Kumar.
When did agentgap launch?
agentgap first shipped in 2026.

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