Update the AI agents backlog with:
- Status update: mark SSE streaming, dynamic tool catalog, MCP server,
guardrails, OTel tracing, budget enforcement as done (with commit refs)
- New item #9: Agent-to-Agent Delegation (the biggest remaining gap)
- New item #10: A2A Agent Cards (depends on #9)
- New item #11: Graph-based Mission Workflows (low priority)
- New item #12: Agent Long-Term Memory via Embeddings
Each item includes problem statement, industry comparison, implementation
sketch, dependencies, effort estimate, and impact assessment.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The Multi-Agent Workbench shipped end-to-end (commits 1771063df through
7c89eb625). This commit turns the plan doc into a proper history + post-
mortem and captures the deferred Team-Workbench as its own forward plan
so the architectural breadcrumbs don't rot.
docs/plans/multi-agent-workbench.md:
- Status bumped to ✅ Shipped; every phase checkbox flipped.
- Open-questions section rewritten with the decisions that were
actually made (name-unique via store write-time check, per-source
system principalIds, policy fully migrated, scene binding default-
empty with smart suggestion).
- New "Shipping-Historie" table mapping each phase to its commit, the
number of files touched, and the test outcome.
- New "Lessons Learnt + Follow-Up Ideen" with:
* What went better than expected (L3 Actor cutover, getOrCreate
instead of unique index, displayName caching)
* Thin spots worth revisiting (avatar not on Actor, missing token
counter for budget, no missions list on agent detail, no
drag-reassign, scene binding doesn't drive filters yet)
* Five deferred follow-up projects (team features, agent memory
self-update, agent-to-agent messaging, meta-planner, per-agent
encryption domains)
docs/plans/team-workbench.md (NEW):
- Full forward-looking plan for the deferred Team-Workbench.
- Two use-cases (human multi-user vs multi-agent sharing team
context) with the observation that they share the same infra.
- Decision candidates table (still open — meant as T0 RFC fodder,
not baked in).
- Architecture sketch with data-model deltas over the current
single-user shape.
- Encryption subsection dedicated to the hardest problems: team-key
wrapping per member (reuses Mission-Grant pattern), member-removal
rotation (lazy vs eager), Zero-Knowledge-mode incompatibility.
- T0..T6 phasing (~7 weeks for a clean first-pass).
- Section "Wie Multi-Agent dafür den Weg geebnet hat" enumerating
the four invariants the shipped Phase 0-7 deliberately preserved
to make this plan cheap when it lands.
docs/plans/README.md (NEW):
- Index doc with the AI/Workbench roadmap as an ASCII flow so future
contributors can locate themselves in the sequence without reading
three 400-line plans first.
docs/future/AI_AGENTS_IDEAS.md:
- Header marks Point 1 (encrypted tables) as shipped via the Mission
Grant plan; points 2-8 stay relevant. Cross-link to all three plan
docs so this stays the go-to backlog.
services/mana-ai/CLAUDE.md:
- Design-context header expanded to link to all four related docs
(arch §20-22, both shipped plans, forward team plan, ideas backlog).
No code changes.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Foundation for Phase 2+ of the Mission Key-Grant flow: lets mana-ai
execute missions that depend on encrypted inputs (notes/tasks/events/
journal/kontext) without needing an open browser tab. Opt-in per
mission, Zero-Knowledge users excluded.
- Canonical HKDF-SHA256 derivation (scope-bound via tables + recordIds
in the HKDF info string → scope changes invalidate the grant
cryptographically, not just via a runtime check)
- Mission.grant field on the shared Mission type
- Golden snapshot + drift-guard test so webapp wrap path and mana-auth
wrap endpoint can't silently diverge
- Ideas backlog at docs/future/AI_AGENTS_IDEAS.md
- Full rollout plan at docs/plans/ai-mission-key-grant.md
- COMPANION_BRAIN_ARCHITECTURE.md §21 captures the flow + privacy
guarantees + non-goals
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
