neural-memory

Solid

Cross-session cognitive persistence via Neural Memory MCP. Use when needing semantic recall of past decisions / errors / insights across projects — distinct from session-bridge (file-based, project-scoped). Provides hypothesis tracking, evidence chains, and graph-based associative memory.

AI & Automation 81 stars 23 forks Updated 3 days ago MIT

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Quality Score: 88/100

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Skill Content

# neural-memory ## Purpose Bridges Rune's file-based persistence (session-bridge, journal) with Neural Memory MCP's semantic graph. While session-bridge saves decisions to `.rune/` files and journal tracks ADRs locally, neural-memory captures **cross-project learnable patterns** — decisions, error root causes, architectural insights, and workflow preferences — into a persistent cognitive layer that compounds across every project and session. Without this skill, each project is an island. With it, a caching pattern discovered in Project A auto-surfaces when Project B faces a similar problem. ## Triggers **Auto-trigger:** - Session start → Run **Recall Mode** (load relevant context before any work) - After `cook` completes a feature → Run **Capture Mode** (save learnings) - After `debug` finds root cause → Run **Capture Mode** (save error pattern) - After `review` finds issues → Run **Capture Mode** (save code quality insight) - After `rescue` completes a phase → Run **Capture Mode** (save refactoring pattern) - After `journal` writes an ADR → Run **Capture Mode** (extract to nmem) - Session end / before compaction → Run **Flush Mode** (capture remaining context) **Manual trigger:** - `/rune recall <topic>` — search neural memory for a topic - `/rune remember <text>` — save a specific memory - `/rune brain-health` — check neural memory health + maintenance - `/rune hypothesize <question>` — start hypothesis tracking ## Calls (outbound) - `session-bridge` (L3): after Cap...

Details

Author
Rune-kit
Repository
Rune-kit/rune
Created
5 months ago
Last Updated
3 days ago
Language
JavaScript
License
MIT

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