ultraworkers/claw-code

An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.

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Summary Information

Updated 37 minutes ago
Added to GitGenius on August 14th, 2026
Created on March 31st, 2026
Open Issues & Pull Requests: 40 (+0)
GitHub issues: Enabled
Number of forks: 109,092
Total Stargazers: 195,070 (-2)
Total Subscribers: 1,944 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 63.9 days
Mean response time: 37.1 days
90th percentile: 65.6 days
Tracked items: 2,208

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 10% of issues opened in the past year have been closed. Three people close 93% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 16
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 47 days
Stale 30+ days: 7
Stale 90+ days: 1

Recent activity

Opened in 7 days: 1
Closed in 7 days: 0
Comments in 7 days: 1
Events in 7 days: 1

Top labels

  • documentation (1)
  • enhancement (1)

Detailed Description

Claw Code is a museum exhibit built in Rust that demonstrates agent-managed code maintenance using Gajae-Code and LazyCodex frameworks.

The project explores an unconventional approach to repository stewardship where autonomous agents handle planning, execution, verification, labeling, and preservation tasks rather than human maintainers. The exhibit is designed to run continuously with minimal human intervention, relying on agent harnesses to keep the artifact functional and organized.

This is explicitly not a production tool or serious project meant for adoption. The README emphasizes that Claw Code functions as a museum exhibit or fossil artifact rather than a usable product. Developers seeking actual working implementations should use LazyCodex or Gajae-Code instead. This repository exists primarily to demonstrate and inspect the concept of agent-managed code repositories.

The project is maintained entirely through automated agent systems that handle all operational tasks without human intervention.