Who is agentscar for?

agentscar is an open-source project built for AI agent developers.

Yes — agentscar is open source under the MIT license and free to use.

What platforms does agentscar run on?

agentscar runs on the command line.

Is agentscar still maintained?

The GitHub repository shows 14 commits in the last 90 days.

What projects are similar to agentscar?

Similar projects tracked by PulseGate include isaac-acp, applyr, and cosmo-cli.

Who develops agentscar?

agentscar is developed by agentheavy.

When did agentscar launch?

agentscar first shipped in 2026.

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agentscar

Name: agentscar
Author: agentheavy

PyPIInfrastructure

agentscar provides blameless postmortems and auto-memory capabilities for coding agents and AI development workflows. It remembers events without learning from them, helping developers debug and improve agent behavior. The tool is available as an MIT-licensed CLI package on PyPI.

Open SourceMITCLI

Visit PyPI

Overview

3 features

In the CLI tools & terminal space, agentscar takes a focused approach. It focuses on performing blameless postmortems and maintaining memory for AI coding agents without learning from mistakes. It is built as an open-source project for AI agent developers. agentscar is open source under the MIT license. agentscar is available on the command line.

agentheavy builds and maintains agentscar, and it first shipped in 2026. Development happens publicly on GitHub with 14 commits in the last 90 days. Key capabilities include blameless postmortems, auto-memory, and guardrails.

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

Blameless postmortems
Auto-memory
Guardrails

Built with & integrations

Runs on

CLI

Trust & compliance

License

MIT

Verified signals

HTTPSOpen Source GitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed5 Aug · 13:50 UTC
agentscar verified against its public source
Source: PulseGate · Open

Frequently asked questions about agentscar

What does agentscar do?: Agentscar focuses on performing blameless postmortems and maintaining memory for AI coding agents without learning from mistakes. It is catalogued under CLI tools & terminal on PulseGate.
Who is agentscar for?: agentscar is an open-source project built for AI agent developers.
Is agentscar free?: Yes — agentscar is open source under the MIT license and free to use.
What platforms does agentscar run on?: agentscar runs on the command line.
Is agentscar still maintained?: The GitHub repository shows 14 commits in the last 90 days.
What projects are similar to agentscar?: Similar projects tracked by PulseGate include isaac-acp, applyr, and cosmo-cli.isaac-acp applyr cosmo-cli
Who develops agentscar?: agentscar is developed by agentheavy.
When did agentscar launch?: agentscar first shipped in 2026.

At a glance

Platforms: Cli
Languages: English
Open source: Yes (GitHub)
License: MIT
First seen: 5 Aug 2026
Built for: AI agent developers
Model: Open source
Solves: Performing blameless postmortems and maintaining memory for AI coding agents without learning from mistakes.

Registered as

GitHub: agentheavy/agentscar
PyPI: agentscar

Developer

agentheavy

Solo developer

GitHub

Open source

View on GitHub

Stars: 0
Forks: 0
Open issues: 0
Last commit: 5 Aug 2026
Commits 90d: 14
Contributors: 1
Authorship: Solo
Default branch: main

Live coverage

Identity confidence: Low · 64
Indexed: 5 Aug 2026
Lifecycle: Alive
First seen: Aug 2026
Last seen: 5 Aug 2026

Identity audit (13)

Slug: agentscar-pypi-org
Lifecycle state recorded: 5 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 5 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: 5 Aug 2026
Canonical URL: https://pypi.org/project/agentscar

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