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ATOCore/docs/next-steps.md

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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.

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
  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
  • 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.