Roadmap

Implemented

  • Claude Code and Codex capture.
  • Normalized event schema.
  • Markdown transcript rendering.
  • Signals and aggregate reporting.
  • Mining methods and risk-aware filtering.
  • SQLite memory schema and rebuildable index.
  • FTS5 keyword retrieval with scope filtering.
  • [[wiki-link]] graph extraction and one-hop expansion.
  • Authored markdown import.
  • Utility writes and q-value updates.
  • Prompt-time memory weave.
  • Static dashboard with signals, cost, mined memory, and indexed memory sections.

Next

  • Optional embedding tier with sqlite-vec and pure-Python fallback.
  • Deeper reward wiring from trajectory signals into memory utility.
  • Promotion workflow for candidate to accepted memories.
  • Export reviewed memories into Codex-compatible skills.
  • Progressive disclosure for exported skills.
  • More dashboard sections for deprecated memories and skills needing review.

Non-Goals For V1

  • No Postgres, pgvector, Neo4j, or server requirement.
  • No FAISS, LangChain, or hard numpy dependency.
  • No automatic live injection into Codex or Claude sessions before retrieval risk controls mature.