This release adds 2 notable features for engineering teams evaluating rollout.
✓ No known CVEs patched in this version
Summary
AI summaryIndexing progress calculation now accurately reflects parsing and embedding ratios with a weighted formula.
Full changelog
This release focuses on significantly improving the developer experience (UX) by providing a realistic and monotonically increasing progress metric during the codebase indexing phase.
📊 Indexing Progress Overhaul
- Two-Phase Weighted Formula: The overall indexing progress is no longer a simple ratio of
embedded_chunks / total_chunks. Sincetotal_chunkswas dynamically growing as files were parsed, the old metric misleadingly sat at ~97% even when the system had only parsed 20% of the project's files. - Accurate Metric: The new calculation properly weights the operation:
overall_progress = parse_ratio * (70% + embed_ratio * 30%).
This guarantees a smooth, realistic 0% to 100% climb based on the total number of files in the project. - Premature Completion Guard: Added strict
parsing_donesafeguards. The system can no longer incorrectly mark graph or vector indexing ascompletedsimply because the job queues momentarily emptied before the AST parser had a chance to enqueue the next batch of files.
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About pomazanbohdan/memory-mcp-1file
A self-contained Memory server with single-binary architecture (embedded DB & models, no dependencies). Provides persistent semantic and graph-based memory for AI agents.
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Beta — feedback welcome: [email protected]