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agentguard-lint

PyPIInfrastructure

No liveness check has reached it yet; it is registered on GitHub and PyPI and has been in the index since 12 Oct 2026. How this is checked

agentguard-lint is an open-source Python static-analysis tool for identifying cost risks in LLM agent code. It detects patterns such as unbounded loops and quadratic conversation-history growth, then estimates potential run costs for developers.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
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Overview

6 features

Purpose: Preventing unexpected LLM costs caused by inefficient or unbounded agent code.

Inferred · not functionally tested

Audience: Python developers building LLM-powered agents

Inferred · not functionally tested

Functions: analytics

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.

agentguard-lint is a Static analysis & linters project. Inferred · not functionally tested: It focuses on preventing unexpected LLM costs caused by inefficient or unbounded agent code. Inferred · not functionally tested: agentguard-lint is an open-source project aimed at python developers building LLM-powered agents. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It ships for the command line, and it can be self-hosted.

Muaz Q builds and maintains agentguard-lint, and it first shipped in 2026. The project is developed in the open on GitHub with 12 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are cost risk detection, static code analysis, and unbounded loop detection.

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

Tasks: Inferred · not functionally tested

  • Cost risk detection
  • Static code analysis
  • Unbounded loop detection
  • History growth analysis
  • Run cost estimation
  • Python support

Topics: Inferred · not functionally tested

Tags
llm-cost-analysisagent-code-linterpython-static-analysistoken-usage-risks

JSON profile · Text profile · Access guide

Built with & integrations

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. Indexed12 Oct · 09:18 UTC
    agentguard-lint seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about agentguard-lint

What does agentguard-lint do?
Inferred · not functionally tested: Agentguard-lint focuses on preventing unexpected LLM costs caused by inefficient or unbounded agent code. It is catalogued under Static analysis & linters on PulseGate.
Who should use agentguard-lint?
Inferred · not functionally tested: agentguard-lint is an open-source project built for python developers building LLM-powered agents.
Does agentguard-lint have a free plan?
Basis unknown · not verified: Yes — agentguard-lint is open source under the MIT license and free to use.
What platforms does agentguard-lint run on?
Basis unknown · not verified: agentguard-lint runs on the command line. It can also be self-hosted.
Is agentguard-lint still active?
The GitHub repository shows 12 commits in the last 90 days.
What projects are similar to agentguard-lint?
Similar projects tracked by PulseGate include codepulse-cli, rulestamp-firestore-rules-guard, and Flyway Migration Check.codepulse-clirulestamp-firestore-rules-guardFlyway Migration Check
Who makes agentguard-lint?
agentguard-lint is developed by Muaz Q.
When did agentguard-lint launch?
agentguard-lint first shipped in 2026.

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