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How to benchmark persistent repo memory for coding agents

Greplica improves coding-agent performance by giving agents access to relevant memory from prior sessions. Benchmarked on SWE-chat dataset across 10 high-context tasks, Greplica achieved 43% lower cost, 49% fewer tokens, 36% fewer tool calls, and 26% less time compared to baseline.

SourceHacker News AIAuthor: kushalpatil07
How to benchmark persistent repo memory for coding agents
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Key points

  • Greplica uses a SQLite-backed graph to automatically capture and store key context from coding sessions.
  • Benchmark on 10 high-context tasks shows significant reduction in exploration during planning phase.
  • Results: 43% cost reduction, 49% fewer tokens, 36% fewer tool calls, 26% less time.
  • Static files like AGENTS.md cannot replace queryable, continuously updated engineering memory.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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