CommitDistill: A Lightweight Knowledge-Centric Memory Layer for Software Repositories
Software repositories accumulate large amounts of unstructured knowledge in commit messages, pull-request discussions, and issue threads, but developers and AI coding assistants rarely reuse this history effectively. Recent work on typed-memory architectures for LLM agents (MemGPT, generative agents, and the PlugMem module of Yang et al.) argues that agent memory should be distilled, typed knowledge rather than raw interaction text. We adapt that stance to a software repository's own git history under a constrained regime: deterministic, dependency-free, local-only, no embeddings. We present CommitDistill, an open-source Python prototype that mines a local git history into typed knowledge...
| Authors | Divya Chukkapalli, Thejesh Avula, Aditya Aggarwal et al. |
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| Primary category | cs.SE |
| Published | 18 May 2026 |
| Last updated at source | 18 May 2026 |
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