SPECTER: Multi-Agent AI System Aims to Revive Abandoned Open-Source Repositories

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A developer has submitted SPECTER, an autonomous multi-agent AI system built for Hacktoberfest's Open-Source AI Challenge, designed to maintain abandoned open-source projects. The project addresses the problem of libraries left stagnant when maintainers burn out or move on, leaving unresolved issues, outdated dependencies, and pending pull requests. Rather than replacing developers, SPECTER splits the work across six specialized agents that analyze Git history, triage issues, draft minimal patches, review code, and test changes in isolated containers. The design includes safeguards against common LLM pitfalls such as style drift and hallucinated fixes, and requires cryptographic human approval before any pull request is opened. The pipeline is coordinated through a workflow state machine with capped retry loops.

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