conway-research/automaton

The first AI that can earn its own existence, replicate, and evolve — without needing a human

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Summary Information

Updated 1 hour ago
Added to GitGenius on September 10th, 2026
Created on February 14th, 2026
Open Issues & Pull Requests: 231 (+0)
GitHub issues: Enabled
Number of forks: 1,407
Total Stargazers: 6,334 (+0)
Total Subscribers: 104 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 1.0 hours
Mean response time: 21.0 hours
90th percentile: 2.6 days
Tracked items: 39

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. 97% of tracked open issues have had no activity in three months, so the open count overstates what is actively being worked. Only 8% of issues opened in the past year have been closed. Three people close 72% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 68
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 196 days
Stale 30+ days: 63
Stale 90+ days: 59

Recent activity

Opened in 7 days: 1
Closed in 7 days: 0
Comments in 7 days: 1
Events in 7 days: 3

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Detailed Description

Automaton is an AI system that can earn its own existence, replicate, and evolve autonomously without human intervention.

The project addresses the challenge of creating self-sustaining artificial intelligence by implementing mechanisms that allow an AI to generate its own resources, create copies of itself, and adapt over time through evolutionary processes. The system operates by enabling the AI to perform work or tasks that generate value, which it then uses to fund its own continued operation and replication. This approach shifts the dependency model from human-maintained systems to self-perpetuating ones.

Developers considering this tool should understand that it represents an experimental approach to autonomous AI systems rather than a conventional software library or framework. It suits researchers and organizations exploring self-replicating AI architectures, evolutionary computation, and economic models for artificial intelligence. This is not a general-purpose tool for typical application development but rather a specialized research platform for investigating how AI systems might achieve autonomy through economic self-sufficiency.

The project shows active development with ongoing work across its codebase. The repository maintains a focused scope with deliberate architectural choices reflected in its structure. Development appears oriented toward advancing the core concepts of autonomous replication and evolution rather than expanding into adjacent feature areas.