18 KiB
18 KiB
Ecosystem Implementation Tracker
Status: Active tracker Owner:
learning_ai_common_platPurpose: Single place to track cross-product ecosystem implementation progress, owners, status, and commit links.
1. Tracking Rules
Use this document as the execution ledger for ecosystem work.
Rules:
- Every implementation item should have exactly one status owner.
- Every completed item should include at least one commit reference.
- Use checkboxes for executable tasks and update them in the same PR/commit series that implements the work.
- If a task spans multiple repos, list all affected repos in the row.
- If a task is blocked, state the blocker explicitly instead of leaving it ambiguous.
Status values:
not-startedin-progressblockeddone
Commit link format:
- short hash only when local
- GitHub commit URL once pushed
Example:
eae3409https://github.com/saravanakumardb1/learning_ai_common_plat/commit/eae3409
2. Core Spec Status
| Spec | Status | Owner Repo | Notes | Commits |
|---|---|---|---|---|
ECOSYSTEM_CROSS_POLLINATION_OPPORTUNITIES.md |
done | learning_ai_common_plat |
strategy baseline created and strengthened | d28e9d0, 341cde7, 3e572b6 |
ECOSYSTEM_SHARED_ARTIFACT_SCHEMA.md |
in-progress | learning_ai_common_plat |
Phase 1 artifact schema and fixtures now exist in @bytelyst/events; broader storage rules still open |
eae3409, 76f1b47 |
ECOSYSTEM_AGENT_RUNTIME_CONTRACT.md |
in-progress | learning_ai_common_plat |
lifecycle boundaries, queued runs, and direct Cowork/FlowMonk mappings now exist; replay semantics remain open | eae3409, ff8c5eb, 97b731e, faf93ec |
ECOSYSTEM_APPROVALS_AND_TRUST_MODEL.md |
in-progress | learning_ai_common_plat |
draft stub exists, policy matrix still needs hardening | eae3409 |
ECOSYSTEM_EVENT_TAXONOMY.md |
in-progress | learning_ai_common_plat |
Phase 1 event names and examples now exist in @bytelyst/events; broader taxonomy remains open |
41fa2cd, 76f1b47 |
ECOSYSTEM_OWNERSHIP_MATRIX.md |
in-progress | learning_ai_common_plat |
temporary four-party ownership model added | 41fa2cd, 7a86a76 |
ECOSYSTEM_VERIFICATION_MATRIX.md |
in-progress | learning_ai_common_plat |
verification layers exist; repo-level ownership still needs explicit later-phase mapping | 41fa2cd |
ECOSYSTEM_CONTRACT_TEST_STRATEGY.md |
in-progress | learning_ai_common_plat |
executable fixture locations and runtime-route test anchors are now documented | 41fa2cd |
ECOSYSTEM_MARKETPLACE_UNIFICATION.md |
in-progress | learning_ai_common_plat |
draft exists, inventory and entitlement details open | 7a86a76 |
ECOSYSTEM_PERSONAL_TIMELINE_PRD.md |
in-progress | learning_ai_common_plat |
draft exists, hosting and filtering decisions open | 7a86a76 |
3. Phase 1 Checklist
Foundation
- Create canonical ecosystem docs home in
docs/ecosystem/Commits:5f4134e
- Draft cross-pollination strategy
Commits:
d28e9d0341cde73e572b6
- Draft artifact schema stub
Commits:
eae3409
- Draft runtime contract stub
Commits:
eae3409
- Draft approvals and trust model stub
Commits:
eae3409
- Draft event taxonomy
Commits:
41fa2cd
- Implement Phase 1 artifact and event contracts in
@bytelyst/eventsCommits:76f1b47
- Draft temporary ownership matrix
Commits:
41fa2cd7a86a76
- Draft verification matrix
Commits:
41fa2cd
- Draft contract-test strategy
Commits:
41fa2cd
- Draft marketplace unification spec
Commits:
7a86a76
- Draft personal timeline PRD
Commits:
7a86a76
- Draft first adoption docs for transcript -> note -> memory flow
Commits:
7a86a76
First implementation tracks
- LysnrAI transcript -> NoteLett note -> MindLyst memory
Repos:
learning_voice_ai_agentlearning_ai_noteslearning_multimodal_memory_agentslearning_ai_common_platCommits:76f1b47dd3d6223b8298b6ffc2f863c791f79c85ad9ecc7c60f469a949796b1623d02cdd3636dStatus note:- artifact flow is implemented end-to-end and downstream event lineage is now hardened with persisted latest-event indexes
- MindLyst web Phase 1 memory-import path is verified by Codex with focused Vitest using a workspace
vitestbinary;49796b1improved the local package path but did not fully close it by itself learning_ai_notesPhase 1 import path verified by Windsurf (623d02c): 13 focused tests, 3 schema conformance checks against@bytelyst/events, 106 total tests passing- Codex completed a manual runtime walkthrough on
2026-04-03using/tmp/bytelyst-phase1-walkthrough.qzzwch, which produced transcript, note, and memory artifacts plus canonical event indexes with the causal chaincapture.transcript.created -> artifact.created -> artifact.linked -> memory.entry.created - remaining known gap is local to
mindlyst-native/web: package-localnpm run test:phase1is still not self-sufficient in this clone even though the focused path is verified
- FlowMonk plan -> ChronoMind routine -> EffoRise habit
Repos:
learning_ai_flowmonklearning_ai_clocklearning_ai_efforiselearning_ai_common_platCommits:78918fb59ab8b1fdd37434975498f65f41cStatus note:- shared contract now supports first-class
plan,routine, andhabitartifacts - FlowMonk exports a canonical plan artifact plus latest plan-created event index
- ChronoMind imports the latest plan into a routine artifact and preserves plan-created causation
- EffoRise imports the latest routine into a habit artifact and preserves routine-linked causation
- Codex completed a manual runtime walkthrough on
2026-04-03using/tmp/bytelyst-phase2-walkthrough.WpEjZu, which produced the causal chainevt_plan_created_b202f23f69a4 -> evt_routine_created_4c07d3fdcd07 -> evt_routine_linked_08b9db8a7013 -> evt_habit_created_f532f13332d1 -> evt_habit_linked_7be9a47928e3
- Cowork -> ActionTrail -> NoteLett -> MindLyst audited artifact flow
Repos:
oss/learning_ai_claw-coworklearning_ai_trailslearning_ai_noteslearning_multimodal_memory_agentslearning_ai_common_platCommits:e6b58b7e294cf54af86b443819f1a253de17ee21515a7f80dStatus note:- shared contract now supports a canonical
trail-reportpayload while reusing genericartifact.created,artifact.linked, andmemory.entry.created - ActionTrail imports Cowork audit-export JSON into a persisted
trail-reportartifact plus latest created-event index - NoteLett imports the latest
trail-reportinto a markdown audit note and preserves upstream trail-report causation - MindLyst imports the latest audit note into an
insightmemory proposal and preserves upstream note-link lineage - Codex completed a manual runtime walkthrough on
2026-04-03using/tmp/bytelyst-phase3-walkthrough.myuu1z, which produced the causal chainevt_trail_created_b40197d5302e -> evt_note_created_abc1ad821974 -> evt_note_linked_9fd9a2b03363 -> evt_memory_8103b59fb40c - review follow-up fixed the ActionTrail trace semantics so
causationIdandparentEventIdno longer misuse Cowork task IDs - NoteLett now exposes
/api/ecosystem/phase3/import-latest-trail-report - MindLyst now exposes the audited import path through
POST /api/memorywithimportLatestAuditNote: true
4. Current Gaps Before Broad Implementation
- event taxonomy phase-1 event list hardened in
@bytelyst/events - adoption docs exist for the first flow, but broader repo coverage is still missing
- ownership model is temporary and must be revised if the team changes
- verification matrix needs repo-level test ownership
- contract-test strategy fixture location and validation tooling now exist in
packages/events
These should be resolved before claiming the ecosystem docs are fully implementation-ready.
5. Phase 4 Checklist
- define canonical
TimelineItemcontract in@bytelyst/eventsCommits:3f2482b
- define baseline event-to-timeline inclusion rules for Phase 1 to Phase 3
Commits:
3f2482b
- implement pure timeline aggregation over canonical ecosystem events
Commits:
3f2482b
- verify that Phase 1 to Phase 3 events render in one unified stream
Commits:
3f2482b
- add first hosted timeline ingest/query API in
platform-serviceCommits:e377351Status note:- platform-service now persists timeline items in
timeline_items POST /api/timeline/ingestaccepts canonical ecosystem events and stores unified timeline itemsGET /api/timelinereturns the unified timeline stream with non-admin JWT callers scoped to their own data
- add first hosted internal timeline UI in
admin-webCommits:6f3a563Status note:- admin-web now exposes
/timelineover the shared platform timeline API - the first hosted internal timeline UI supports user, artifact, correlation, and event-name filtering
- the timeline hardening pass adds explicit product-scope review, correlation-chain grouping, and focused helper tests
6. Phase 5 Checklist
- define canonical runtime schemas for dispatch, session, task, todo, run, approval, and action logs
Commits:
3f2482b
- validate Cowork-style remote dispatch against the shared runtime contract
Commits:
3f2482b
- validate FlowMonk-style scheduled execution against the shared runtime contract
Commits:
3f2482b
- add first runtime projection + dispatch validation API in
platform-serviceCommits:fe36296Status note:GET /api/agent-runtime/sessionsprojects platform sessions into the sharedAgentSessionshapeGET /api/agent-runtime/runsprojects platform runs into the sharedAgentRunshapePOST /api/agent-runtime/dispatch/validatevalidatesAgentDispatchRequestpayloads against the canonical schema
- add first hosted internal runtime console in
admin-webCommits:71ef2acStatus note:- admin-web now exposes
/agent-runtimeover the shared platform runtime API - the first hosted internal runtime UI supports projected session review, projected run review, and dispatch payload validation
- wire first product implementations to emit the shared runtime objects directly from Cowork and FlowMonk
Status note:
- Cowork product-native runtime projections are now implemented in cowork-service
023826eaddsGET /api/agent-runtime/sessions,GET /api/agent-runtime/runs,GET /api/agent-runtime/approvals, andPOST /api/agent-runtime/dispatch/validate01201f8addsGET /api/agent-runtime/taskswith canonicalAgentTaskprojectionb8242b4addsGET /api/agent-runtime/actionswith canonicalAgentActionLogprojection97b731eaddsGET /api/agent-runtime/todoswith an interim task-backedAgentTodoprojection- FlowMonk local installs now resolve
@bytelyst/*from the siblinglearning_ai_common_platworkspace instead of the dead localhost registry 1ccafa7adds FlowMonk direct runtime projections for sessions, tasks, runs, action logs, and dispatch validationfaf93ecadds FlowMonk direct approval and todo projections
- promote
queuedto a first-classAgentRunstate and preserve it in shared runtime projections Commits:ff8c5ebStatus note:AgentRunnow supportsqueueddirectly in@bytelyst/events- platform-service now preserves queued platform runs as
queued - cowork-service now projects pending IPC tasks as queued runs
- FlowMonk now projects scheduled entries as queued runs
- emit and consume canonical Cowork audit event IDs across Rust, cowork-service, and ActionTrail
Commits:
3963f63a57b36737e9a3cStatus note:- Cowork Rust now emits canonical
event_idvalues on audit records and forwards them into platform auditdetails.eventId - cowork-service now prefers the canonical event ID for
AgentApprovalCheckpoint.approvalIdandAgentActionLog.actionLogId - ActionTrail now preserves the latest Cowork audit
event_idas thetrail-reportprovenance origin action andartifact.createdcausation anchor
6.1 Remaining Direct Runtime TODOs
- Cowork: add
AgentTododirect projection once the product exposes first-class todo entities. - FlowMonk: add direct
AgentApprovalCheckpointandAgentTodoprojections once the product exposes first-class approval/todo primitives. - Shared docs: clarify run-vs-session lifecycle guidance now that
queuedis first-class.
6.2 Explicit Blockers And Questions
- Question: should Cowork eventually expose canonical event IDs directly on session/task IPC projections too, or is the audit/action surface enough for the current roadmap?
7. Active Execution Plan
Current implementation kickoff document:
PHASE1_TRANSCRIPT_NOTE_MEMORY_EXECUTION_PLAN.mdPHASE2_PLAN_ROUTINE_HABIT_EXECUTION_PLAN.mdPHASE3_COWORK_ACTIONTRAIL_NOTE_MEMORY_EXECUTION_PLAN.mdPHASE4_PERSONAL_TIMELINE_EXECUTION_PLAN.mdPHASE5_AGENT_RUNTIME_CONTRACT_EXECUTION_PLAN.md
Execution status:
- shared contract baseline implemented in
packages/events - LysnrAI emits canonical transcript artifact +
capture.transcript.created - LysnrAI also persists the latest transcript event index for downstream causation (
79c85ad) - NoteLett imports the latest transcript artifact into a note, emits
artifact.created+artifact.linked, and now preserves upstream capture event lineage (9ecc7c6) - MindLyst imports the latest note artifact into a memory proposal, emits
memory.entry.created, and now preserves upstream note-link lineage (0f469a9) - MindLyst focused tests were verified by Codex with
/Users/saravana/BytelystAI/learning_ai/learning_ai_common_plat/node_modules/.bin/vitest run src/lib/ecosystem-phase1.test.ts src/__tests__/api-memory.test.ts;49796b1improved the local script/setup path - Codex completed an end-to-end runtime walkthrough on
2026-04-03rooted at/tmp/bytelyst-phase1-walkthrough.qzzwch; the persisted indexes showevt_capture_e913dd681aba -> evt_note_created_cced1442727e -> evt_note_linked_c3d477dfd0c4 -> evt_memory_9a3ebd9c67ca - repo-local verification for MindLyst web Phase 1 path is functionally confirmed, but the package-local
npm run test:phase1path is still not self-sufficient in this clone - Windsurf verified the
learning_ai_notesPhase 1 backend path withcd backend && npx vitest run; 22 files passed and 106 tests passed, including the focused ecosystem-phase1 coverage - shared contract now also supports the Phase 2
plan -> routine -> habitseam throughartifact.createdandartifact.linked - Phase 2 walkthrough is complete and tracked in
PHASE2_PLAN_ROUTINE_HABIT_EXECUTION_PLAN.md - Phase 3 walkthrough is complete and tracked in
PHASE3_COWORK_ACTIONTRAIL_NOTE_MEMORY_EXECUTION_PLAN.md - Phase 4 timeline baseline is complete and tracked in
PHASE4_PERSONAL_TIMELINE_EXECUTION_PLAN.md - Phase 5 runtime-contract baseline is complete and tracked in
PHASE5_AGENT_RUNTIME_CONTRACT_EXECUTION_PLAN.md