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CLAUDE.md - Session Knowledge Persistence

IAIP Research
jg251227-inquiries-sessions-session-management-ea-dm2xrcxsqcehjjjjlwtwig

CLAUDE.md - Session Knowledge Persistence

Last Updated: 2026-01-17 Session Context: Anemoi A2A Research Integration Purpose: Persistent memory across future agent instances

Research Summary: Anemoi A2A Communication Patterns

Question Under Investigation

Does Anemoi's A2A structured direct communication offer better context transfer than current file-based (CONTEXT.md) + webhook + Redis approach for terminal agent session orchestration?

Answer (from Perplexity Research)

Yes, but with nuance: Anemoi A2A provides real-time coordination for multi-session scenarios. However, for fork/resume context inheritance, Agent Continuations (Snaplogic) is lower-friction entry point.

Key Findings Extracted from Research

1. Anemoi Architecture (Thread-Based Communication)

MCP Server Primitives:

  • list_agents() → Discover available agents
  • create_thread(P_0) → Initialize conversation context
  • send_message(τ, msg) → Broadcast/directed message
  • wait_for_mentions(τ) → Block until mentioned (real-time awareness)
  • close_thread(τ) → Terminate with outcome logging

Performance: +9.09% on GAIA benchmark vs centralized approaches (OWL, CAMEL, AutoGen)

2. Recommended Implementation Phases

PhasePatternEffortSolvesStatus
1Agent Continuations1-2 wksFork context lossNot Started
2Anemoi A2A3-4 wksMulti-session coordinationNot Started
3Semi-centralized8-12 wksFull architectureDefer

3. Trade-Off Analysis: Context Transfer Methods

MethodLatencyMulti-SessionToken OverheadCLI SupportEffort
File-based (Now)50-200msEventualHighNative0
Continuations0msManual pollVery LowNative1-2 wks
Anemoi A2A5-20msReal-timeVery LowNeeds wrapper3-4 wks

Infrastructure Checkpoint: Current State

Session Lifecycle (newsessionuuid)

  • UUID generation + namespace + MCP configs
  • Launcher script generation: LAUNCH__session_id_<namespace>_<timestamp>.sh
  • Output to _env.sh with resume/fork aliases

Pre-Launch Context Agent (miette_newsession_context.sh)

  • Haiku model analyzes session intentions
  • Creates CONTEXT.md (FILE-BASED ← bottleneck)
  • Langfuse trace with metadata
  • Redis cache entry

Session Observability (v2_claude_hooks)

  • Pre/post tool execution hooks
  • Langfuse trace instrumentation
  • State in ._langfuse_state

Pain Points Identified

  1. Context bloat on fork: Child session loses parent semantic continuity
  2. Pre-launch isolation: Haiku agent cannot query main session about preferences
  3. Parallel agent coordination: Manual state sync, file-based handoffs
  4. Hook-to-hook communication: No cross-hook coordination mechanism

Self-Inquiry Questions (From Research)

Before implementing any phase, answer these:

  1. Context loss on fork: What % of parent state is needed by child?

    • <20% → File-based sufficient
    • 50%+ → Continuations essential

  2. Token waste: What % goes to redundant context injection?

    • <5% → Redis webhooks acceptable
    • >15% → Anemoi threading worthwhile

  3. Pre-launch clarification: How often does main session need more from pre-launch?

    • Rarely → One-shot acceptable
    • >30% → Bidirectional negotiation valuable

  4. MCP server maturity: Already running iaip/coaia MCPs?

    • Yes → A2A server is low-friction
    • No → Requires SDK setup (2-3 days)

  5. Shell script integration: Must LAUNCH__*.sh stay in loop?

    • Yes → Anemoi needs API wrapper
    • No → Native support available

Related Files & References

Research Artifacts

  • /251230-anemoi-a2a-research/CONTENT.md — Full Perplexity research response
  • /251230-anemoi-a2a-research/SYNTHESIS.md — Actionable synthesis
  • /251230-anemoi-a2a-research/251230-Anemoi-Inquiry-PROMPT.md — Research query
  • /251230-anemoi-a2a-research/251230-Anemoi-Inquiry-CONTEXT-ATTACHMENT.md — Infrastructure context

Implementation Scripts

  • /scripts/fn_llm.sh — newsessionuuid function, Haiku agent patterns
  • /scripts/v2_claude_hooks/ — Langfuse instrumentation (draft)
  • /scripts/miette_newsession_context.sh — Pre-launch agent

Structural Tension Charts

  • chart_1768301874719 — Multi-Universe Narrative System (patenting + implementation)
  • Anemoi implementation phases should become action steps under patenting/implementation

Decision Required

What is the most urgent pain point?

If...Then...Priority
Fork context loss is blocking workStart Phase 1 (Continuations) immediatelyHIGH
Running 3+ parallel sessions oftenPrioritize Phase 2 (Anemoi A2A)MEDIUM
Current system "good enough"Document patterns, defer implementationLOW

Notes for Next Session

  • Anemoi GitHub: https://github.com/Coral-Protocol/Anemoi
  • Internal fork: https://github.com/miadisabelle/mia-anemoi
  • Related: Agent Continuations (Snaplogic), SagaLLM (arXiv:2503.11951), MCP-Zero (arXiv:2506.01056)
  • Consider accountability alignment ceremony before Phase 1 implementation
  • Medical Wheel integration point: East (vision) → Phase identification, South (growth) → embodied testing, West (reflection) → decision-making, North (wisdom) → pattern documentation

Next Actions

  1. ⏳ Choose priority: Phase 1 (Continuations) vs Phase 2 (Anemoi A2A)
  2. ⏳ Answer self-inquiry questions above
  3. ⏳ Create STCs for chosen phase(s)
  4. ⏳ Set up accountability ceremony using medicine-wheel tools
  5. ⏳ Begin implementation planning