d-o-hub / rust-self-learning-memory
A modular Rust-based self-learning episodic memory system for AI agents, featuring hybrid storage with Turso (SQL) and redb (KV), async execution tracking, reward scoring, reflection, and pattern-based skill evolution. Designed for real-world applicability, maintainability, and scalable agent workflows.
Code health
d-o-hub/rust-self-learning-memory scores 8.8 out of 10 on defect risk, which Repowise rates Excellent. Maintainability scores 9.3 out of 10. Static performance risk scores 10.0 out of 10. The three are scored separately and never blended into a single number. 147 of 2,008 files are git hotspots, the places where changes and bug fixes concentrate.
Full health report- Files
- 2.0k
- Symbols
- 18k
- Modules
- 247
- Doc pages
- 1.8k
- Dead exports
- 35
Where the risk concentrates
All 147 hotspotsRanked by prior bug fixes and change frequency, mined from the full git history rather than from the code alone.
| File | Churn | Prior fixes | Maintainers | Commits 90d |
|---|---|---|---|---|
| embeddings_internal.rsmemory-storage-turso/src/storage | 99.7th %ile | 5 | 2 | 5 |
| code-quality.shscripts | 99.3th %ile | 5 | 3 | 5 |
| similarity.rsmemory-core/src/embeddings | 99.8 |
Read more about d-o-hub/rust-self-learning-memory
- OverviewFiles, symbols, languages, packages, git intelligence
- ArchitectureDependency graph, layered architecture, symbol index, and third-party dependencies
- Code healthPer-file health scores, hotspots, test coverage, dead code, and refactoring targets
- AI explanationsProModule-by-module documentation generated from source
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[](https://repowise.dev/repo/d-o-hub/rust-self-learning-memory)How d-o-hub/rust-self-learning-memory works
A modular Rust-based self-learning episodic memory system for AI agents, featuring hybrid storage with Turso (SQL) and redb (KV), async execution tracking, reward scoring, reflection, and pattern-based skill evolution. Designed for real-world applicability, maintainability, and scalable agent workflows. This page is an auto-generated, always-fresh map of the d-o-hub/rust-self-learning-memory repository, written primarily in Rust. Repowise indexes the source, parses every symbol, computes a dependency graph, scores per-file code health from complexity, duplication, test coverage and churn, mines git history for hotspots and ownership, and lifts the resulting architectural decisions into a wiki you can read or query through MCP.
The codebase has 2,008 source files, 17,902 symbols, and 10 languages, organised into 247 modules, led by rust, markdown, shell. Static analysis leaves 3,911 open findings across the three health dimensions.
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