Agentic Tooling & Journaling Protocol Enhancements - 2026-02-13 Session #40
Description
Context
Session 762e20e3-3833-4412-8e82-211f49c45287 (2026-02-13) identified several improvement opportunities from Algorithm enhancement work, compaction recovery analysis, and journaling protocol application.
Created Artifacts (committed 089c7d6):
Learnings/journal-2026-02-13-rekall-recovery.md- Compaction analysisLearnings/journal-2026-02-13-session-summary.md- Progress/problems/plansProjects/claude-fat/learnings/remembering-01.md- Skills context dump
Key Insights:
- Compaction fidelity: 60-70% facts preserved, 30-40% philosophy lost
- Recovery hierarchy: Journals (95%) > Checkpoint (80-85%) > Summary (60-70%)
- Dual-purpose documentation (human + machine) has strategic value
Immediate Actions
1. Review TheAlgorithm_v-kaizen-01.md
Status: UNCOMMITTED, awaiting review
Location: /TheAlgorithm/versions/TheAlgorithm_v-kaizen-01.md
Enhancements:
- OBSERVE phase: PROTOCOL evaluation, GUIDELINE evaluation, improvement analysis
- THINK phase: Four-factor constraint analysis, PROTOCOL conflict resolution
- VERIFY phase: PROTOCOL verification with evidence
- LEARN phase: DEFERRED improvements tracking
Action: Review and approve/modify before adopting
Priority: HIGH (blocks Algorithm usage)
Short-Term Development (1-4 weeks)
2. Agentic Tooling Suite
From `journaling-protocol.md` vision:
Tool 1: journal-extract
Purpose: Extract structured blocks (YAML, LinkML, code) from journals
Input: `Learnings/journal-*.md`
Output:
- `.index/metadata.yaml` - Session metadata, ISC refs
- `.index/patterns.linkml` - Reusable architectural patterns
Implementation:
- Language: Python
- Dependencies: pydantic, PyYAML, linkml-runtime
- Parsing: Markdown AST + code fence detection
Timeline: 1-2 weeks
Priority: HIGH (foundation for other tools)
Tool 2: journal-index
Purpose: Build searchable knowledge base from extracted data
Features:
- Semantic search across sessions
- ISC cross-referencing (task → verification → evidence)
- Pattern discovery (architectural decisions, design frameworks)
- Timeline reconstruction (decision evolution)
Technology Options:
- SQLite FTS5 (full-text search)
- Vector embeddings (semantic search)
- Hybrid approach
Timeline: 2-3 weeks
Priority: MEDIUM (enables knowledge discovery)
Tool 3: journal-forensic
Purpose: Reconstruct context from compaction fragments
Input:
- Compacted session summary
- Partial journal entries
- ISC references
- Session transcript (`.jsonl`)
Output: Reconstructed decision context with WHY reasoning
Algorithm:
- Find ISC refs in journal
- Map ISC IDs to session timestamps
- Locate transcript file for session
- Extract messages around timestamps
- Synthesize: transcript + journal → full context
Timeline: 3-4 weeks
Priority: MEDIUM (compaction mitigation)
Medium-Term Development (1-3 months)
3. Real-Time Journaling Agent
From `journaling-protocol.md` Phase 2:
Architecture: Background process monitoring conversation
Triggers:
- Philosophy detected (cultural values, organizational approach)
- Architectural insight (design patterns, agentic-native discoveries)
- User correction (>100 words)
- ISC verification (Algorithm execution)
- Decision made (four-factor trade-offs)
Behavior: Suggest journal entries with pre-filled structured blocks
Technology:
- Python watchdog (filesystem monitoring)
- LLM inference (pattern detection)
- Structured output (YAML, LinkML generation)
Timeline: 1-2 months
Priority: MEDIUM (reduces manual journaling burden)
4. Pattern Library Generation
Purpose: Auto-generate catalog from LinkML blocks in journals
Input: `journal-extract` output (patterns.linkml)
Output:
- `Patterns/` directory with categorized patterns
- Pattern index with search
- Cross-references (pattern → usage → sessions)
Features:
- Anti-pattern detection
- Decision framework templates
- Architectural best practices
Timeline: 2-3 months
Priority: LOW (nice to have, not blocking)
Long-Term Vision (3-12 months)
5. Multi-Agent Coordination
Concept: Specialized agents working in parallel with shared context
Agent Types:
- Researcher (codebase exploration, documentation)
- Architect (design decisions, trade-off analysis)
- Critic (red team, edge case discovery)
- Journalist (real-time journaling, context preservation)
Coordination:
- Shared episodic memory
- Agent-to-agent handoff protocols
- Parallel execution with synchronization
- Structured output aggregation
Timeline: 3-6 months
Priority: LOW (exploratory)
6. Structured Knowledge Graphs
Vision: ISC → Pattern → Decision → Outcome chains
Features:
- Cross-project learning transfer
- Organizational knowledge accumulation
- Decision timeline visualization
- Impact analysis (which patterns led to which outcomes)
Technology: Graph database (Neo4j) or linkml-store
Timeline: 6-12 months
Priority: LOW (long-term strategy)
Compaction Resistance Improvements
7. Pre-Compaction Handoff Protocol
Goal: Reduce compaction fidelity loss from 40% to <10%
Strategies:
-
Comprehensive Context Dump:
- Triggered at 150k tokens
- Contains: session state, user philosophy, technical rationale, ISC chains
- Format: Structured blocks (YAML, LinkML, code)
-
Structured Block Preservation:
- YAML metadata survives compaction better than prose
- LinkML patterns more resilient than natural language
- Code blocks preserved as-is
-
Episodic Memory Integration:
- Store pre-compaction artifacts in episodic memory
- Retrieve during post-compaction recovery
- Cross-reference with compaction summary
-
User-Triggered Checkpoints:
- `/checkpoint` command (already exists)
- Enhanced with structured output
- Stored in project `.claude/checkpoints/`
Timeline: 1-2 months
Priority: HIGH (directly addresses observed pain point)
Pack Development
8. Complete Placeholder Packs
boris-wisdom, config-management, docker-dev:
- Status: Currently TODO templates
- Action: Define scope, create SKILL.md content
- Priority: LOW (no immediate user need)
References
Session Artifacts:
- Commit 089c7d6: Recovery journal + skills context dump
- Commit 63db6b8: 4 learning documents (PROTOCOL, improvement, steering)
- Commit 852055e: Design-stage steering template + python-typing v2.0.0
Documentation:
- `Learnings/journaling-protocol.md` - Structured knowledge capture
- `Learnings/journal-2026-02-13-session-summary.md` - Full session analysis
- `Projects/claude-fat/learnings/remembering-01.md` - Skills dump with compaction metrics
Uncommitted:
- `TheAlgorithm/versions/TheAlgorithm_v-kaizen-01.md` - Awaiting review
Action Items
Immediate:
- Review TheAlgorithm_v-kaizen-01.md (Add second problem: deforestation #1)
- Prioritize tool development roadmap
Short-term:
- Develop journal-extract (Primary Epistemological problem to address is the notion that we are ignorant of r a vast majority for how things land #2)
- Develop journal-index (Primary Epistemological problem to address is the notion that we are ignorant of r a vast majority for how things land #2)
- Develop journal-forensic (Primary Epistemological problem to address is the notion that we are ignorant of r a vast majority for how things land #2)
Medium-term:
- Build real-time journaling agent (How to contribute? #3)
- Generate pattern library (Categorising problems #4)
- Implement pre-compaction handoff (Add Problems about IDP, Floods, AQI, and conflicts #7)
Long-term:
- Explore multi-agent coordination (Interface to Enter new problems #5)
- Design structured knowledge graphs (Problem IDs #6)
Low priority:
- Complete placeholder packs (WASH problems #8)
Issue created: 2026-02-13
Session: 762e20e3-3833-4412-8e82-211f49c45287
Type: Enhancement