# AtoCore Next Steps ## Current Position AtoCore now has: - canonical runtime and machine storage on Dalidou - separated source and machine-data boundaries - initial self-knowledge ingested into the live instance - trusted project-state entries for AtoCore itself - a first read-only OpenClaw integration path on the T420 - a first real active-project corpus batch for: - `p04-gigabit` - `p05-interferometer` - `p06-polisher` ## Immediate Next Steps 1. Use the T420 `atocore-context` skill in real OpenClaw workflows - confirm the ergonomics are good - confirm the fail-open behavior remains acceptable in practice 2. Review retrieval quality after the first real project ingestion batch - check whether the top hits are useful - check whether trusted project state remains dominant - reduce cross-project competition and prompt ambiguity where needed 3. Continue controlled project ingestion only where the current corpus is still thin - a few additional anchor docs per active project 4. Define a cleaner source refresh model - make the difference between source truth, staged inputs, and machine store explicit - move toward a project source registry and refresh workflow - foundation now exists via project registry + per-project refresh API - registration policy + template + proposal + approved registration are now the normal path for new projects 5. Define backup and export procedures for Dalidou - exercise the new SQLite + registry snapshot path on Dalidou - Chroma backup or rebuild policy - retention and restore validation 6. Keep deeper automatic runtime integration deferred until the read-only model has proven value ## Trusted State Status The first conservative trusted-state promotion pass is now complete for: - `p04-gigabit` - `p05-interferometer` - `p06-polisher` Each project now has a small set of stable entries covering: - summary - architecture or boundary decision - key constraints - current next focus This materially improves `context/build` quality for project-hinted prompts. ## Recommended Near-Term Project Work The first curated batch is already in. The near-term work is now: 1. strengthen retrieval quality 2. add a few more anchor docs only where retrieval is still weak 3. keep trusted project state concise and high-confidence ## Recommended Additional Anchor Docs 1. `p04-gigabit` 2. `p05-interferometer` 3. `p06-polisher` P04: - 1 to 2 more strong study summaries - 1 to 2 more meeting notes with actual decisions P05: - a couple more architecture docs - selected vendor-response notes - possibly one or two NX/WAVE consumer docs P06: - more explicit interface/schema docs if needed - selected operations or UI docs - a distilled non-empty operational context doc to replace an empty `_context.md` ## Deferred On Purpose - automatic write-back from OpenClaw into AtoCore - automatic memory promotion - reflection loop integration - replacing OpenClaw's own memory system - syncing the live machine DB between machines ## Success Criteria For The Next Batch The next batch is successful if: - OpenClaw can use AtoCore naturally when context is needed - OpenClaw can also register a new project cleanly before refreshing it - existing project registrations can be refined safely before refresh when the staged source set evolves - AtoCore answers correctly for the active project set - retrieval surfaces the seeded project docs instead of mostly AtoCore meta-docs - trusted project state remains concise and high confidence - project ingestion remains controlled rather than noisy - the canonical Dalidou instance stays stable ## Long-Run Goal The long-run target is: - continue working normally inside PKM project stacks and Gitea repos - let OpenClaw keep its own memory and runtime behavior - let AtoCore supplement LLM work with stronger trusted context, retrieval, and context assembly That means AtoCore should behave like a durable external context engine and machine-memory layer, not a replacement for normal repo work or OpenClaw memory.