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DR

dryfire

PyPI·Infrastructure

dryfire is a Git-native testing framework specifically built for LLM agents and their tool-use loops. Instead of asserting on final outputs, it captures and validates the entire trajectory of actions, enabling robust regression testing. Available on PyPI under the MIT license, it targets AI engineers building reliable autonomous agents.

Open SourceMITCLI
Visit PyPI↗

Overview

4 features

dryfire sits in PulseGate's Testing & QA category. Reliably testing and regressing LLM agent tool-use loops by asserting on trajectories instead of brittle outputs. It is built as an open-source project for developers. The project is open source (MIT). dryfire is available on the command line.

dryfire first shipped in 2026. Development happens publicly on GitHub with 42 commits in the last 90 days. Key capabilities include Regression Testing, Trajectory Assertion, and LLM Agent Testing.

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

  • ✓Regression Testing
  • ✓Trajectory Assertion
  • ✓LLM Agent Testing
  • ✓Git Integration
Tags
llm-testingagent-evalsregression-testingtool-use
AI capabilities
Code

Built with & integrations

AI providers
anthropicopenai
Runs on
CLI

Trust & compliance

License
MIT
Verified signals
✓HTTPS✓Open Source✓GitHub✓Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed2 Aug · 15:56 UTC
    dryfire verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about dryfire

What is dryfire?
Reliably testing and regressing LLM agent tool-use loops by asserting on trajectories instead of brittle outputs. It is catalogued under Testing & QA on PulseGate.
Who should use dryfire?
dryfire is an open-source project built for developers.
Is dryfire free?
Yes — dryfire is open source under the MIT license and free to use.
What platforms does dryfire run on?
dryfire runs on the command line.
Is dryfire still maintained?
The GitHub repository shows 42 commits in the last 90 days.
What are alternatives to dryfire?
Similar projects tracked by PulseGate include regrun, Testward, and ai-driven-e2e.regrunTestwardai-driven-e2e
How long has dryfire been around?
dryfire first shipped in 2026.
Is dryfire open source?
Yes — dryfire is open source under the MIT license, developed on GitHub.

At a glance

Platforms
Cli
Languages
English
Open source
Yes (GitHub)
License
MIT
First seen
2 Aug 2026
Built for
developers
Model
Open source
Solves
Reliably testing and regressing LLM agent tool-use loops by asserting on trajectories instead of brittle outputs.

Registered as

GitHub
getdryfire/dryfire
PyPI
dryfire

Developer

Getdryfire
Solo developer
↗ GitHub

Open source

View on GitHub →
Stars
0
Forks
0
Open issues
0
Last commit
2 Aug 2026
Commits 90d
42
Contributors
1
Authorship
Solo
Default branch
main
Latest release
v0.2.0 · 2 Aug 2026

Live coverage

Identity confidence
Low · 64
Indexed
2 Aug 2026
Lifecycle
Alive
First seen
Aug 2026
Last seen
2 Aug 2026
Identity audit (13)
Slug
dryfire-pypi-org
Lifecycle state recorded
2 Aug 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
2 Aug 2026
Timeline basis
Indexed-at chronology (no inferred launch/funding milestones).
Name from
Written by a language model from the project's public pages.
Category from
Assigned by a language model.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model from page content.
Last updated
2 Aug 2026
Canonical URL
https://pypi.org/project/dryfire

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Also in Testing & QA

Same category — not a similarity match

  • REregrunpypi.org
  • TETestwardtestward.app
  • AIai-driven-e2epypi.org
  • LYlymbogithub.com
  • NAnat-enginegithub.com
  • V–VRTs – Visual Regression Testswordpress.org