150 lines
5.2 KiB
Markdown
150 lines
5.2 KiB
Markdown
# AtoCore Next Steps
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## Current Position
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AtoCore now has:
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- canonical runtime and machine storage on Dalidou
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- separated source and machine-data boundaries
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- initial self-knowledge ingested into the live instance
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- trusted project-state entries for AtoCore itself
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- a first read-only OpenClaw integration path on the T420
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- a first real active-project corpus batch for:
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- `p04-gigabit`
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- `p05-interferometer`
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- `p06-polisher`
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This working list should be read alongside:
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- [master-plan-status.md](C:/Users/antoi/ATOCore/docs/master-plan-status.md)
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## Immediate Next Steps
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1. Use the T420 `atocore-context` skill and the new organic routing layer in
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real OpenClaw workflows
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- confirm `auto-context` feels natural
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- confirm project inference is good enough in practice
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- confirm the fail-open behavior remains acceptable in practice
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2. Review retrieval quality after the first real project ingestion batch
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- check whether the top hits are useful
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- check whether trusted project state remains dominant
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- reduce cross-project competition and prompt ambiguity where needed
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- use `debug-context` to inspect the exact last AtoCore supplement
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3. Treat the active-project full markdown/text wave as complete
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- `p04-gigabit`
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- `p05-interferometer`
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- `p06-polisher`
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4. Define a cleaner source refresh model
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- make the difference between source truth, staged inputs, and machine store
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explicit
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- move toward a project source registry and refresh workflow
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- foundation now exists via project registry + per-project refresh API
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- registration policy + template + proposal + approved registration are now
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the normal path for new projects
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5. Move to Wave 2 trusted-operational ingestion
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- curated dashboards
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- decision logs
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- milestone/current-status views
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- operational truth, not just raw project notes
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6. Integrate the new engineering architecture docs into active planning, not immediate schema code
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- keep `docs/architecture/engineering-knowledge-hybrid-architecture.md` as the target layer model
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- keep `docs/architecture/engineering-ontology-v1.md` as the V1 structured-domain target
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- do not start entity/relationship persistence until the ingestion, retrieval, registry, and backup baseline feels boring and stable
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7. Define backup and export procedures for Dalidou
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- exercise the new SQLite + registry snapshot path on Dalidou
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- Chroma backup or rebuild policy
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- retention and restore validation
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8. Keep deeper automatic runtime integration modest until the organic read-only
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model has proven value
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## Trusted State Status
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The first conservative trusted-state promotion pass is now complete for:
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- `p04-gigabit`
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- `p05-interferometer`
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- `p06-polisher`
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Each project now has a small set of stable entries covering:
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- summary
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- architecture or boundary decision
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- key constraints
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- current next focus
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This materially improves `context/build` quality for project-hinted prompts.
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## Recommended Near-Term Project Work
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The active-project full markdown/text wave is now in.
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The near-term work is now:
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1. strengthen retrieval quality
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2. promote or refine trusted operational truth where the broad corpus is now too noisy
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3. keep trusted project state concise and high-confidence
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4. widen only through named ingestion waves
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## Recommended Next Wave Inputs
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Wave 2 should emphasize trusted operational truth, not bulk historical notes.
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P04:
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- current status dashboard
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- current selected design path
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- current frame interface truth
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- current next-step milestone view
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P05:
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- selected vendor path
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- current error-budget baseline
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- current architecture freeze or open decisions
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- current procurement / next-action view
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P06:
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- current system map
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- current shared contracts baseline
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- current calibration procedure truth
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- current July / proving roadmap view
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## Deferred On Purpose
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- automatic write-back from OpenClaw into AtoCore
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- automatic memory promotion
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- reflection loop integration
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- replacing OpenClaw's own memory system
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- syncing the live machine DB between machines
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## Success Criteria For The Next Batch
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The next batch is successful if:
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- OpenClaw can use AtoCore naturally when context is needed
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- OpenClaw can infer registered projects and call AtoCore organically for
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project-knowledge questions
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- the active-project full corpus wave can be inspected and used concretely
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through `auto-context`, `context-build`, and `debug-context`
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- OpenClaw can also register a new project cleanly before refreshing it
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- existing project registrations can be refined safely before refresh when the
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staged source set evolves
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- AtoCore answers correctly for the active project set
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- retrieval surfaces the seeded project docs instead of mostly AtoCore meta-docs
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- trusted project state remains concise and high confidence
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- project ingestion remains controlled rather than noisy
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- the canonical Dalidou instance stays stable
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## Long-Run Goal
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The long-run target is:
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- continue working normally inside PKM project stacks and Gitea repos
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- let OpenClaw keep its own memory and runtime behavior
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- let AtoCore supplement LLM work with stronger trusted context, retrieval, and
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context assembly
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That means AtoCore should behave like a durable external context engine and
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machine-memory layer, not a replacement for normal repo work or OpenClaw memory.
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