Intelligent multi-store memory system with human-like encoding, consolidation, decay, and recall. Use when setting up agent memory, configuring remember/forget triggers, enabling sleep-time reflection, building knowledge graphs, or adding audit trails. Replaces basic flat-file memory with a cognitive architecture featuring episodic, semantic, procedural, and core memory stores. Supports multi-agent systems with shared read, gated write access model. Includes philosophical meta-reflection that deepens understanding over time. Covers MEMORY.md, episode logging, entity graphs, decay scoring, reflection cycles, evolution tracking, and system-wide audit.
Install
Documentation
Cognitive Memory System
Multi-store memory with natural language triggers, knowledge graphs, decay-based forgetting, reflection consolidation, philosophical evolution, multi-agent support, and full audit trail.
Quick Setup
1. Run the init script
bash scripts/init_memory.sh /path/to/workspace
Creates directory structure, initializes git for audit tracking, copies all templates.
2. Update config
Add to ~/.clawdbot/clawdbot.json (or moltbot.json):
{
"memorySearch": {
"enabled": true,
"provider": "voyage",
"sources": ["memory", "sessions"],
"indexMode": "hot",
"minScore": 0.3,
"maxResults": 20
}
}
3. Add agent instructions
Append assets/templates/agents-memory-block.md to your AGENTS.md.
4. Verify
User: "Remember that I prefer TypeScript over JavaScript."
Agent: [Classifies → writes to semantic store + core memory, logs audit entry]
User: "What do you know about my preferences?"
Agent: [Searches core memory first, then semantic graph]
---
Architecture — Four Memory Stores
CONTEXT WINDOW (always loaded)
├── System Prompts (~4-5K tokens)
├── Core Memory / MEMORY.md (~3K tokens) ← always in context
└── Conversation + Tools (~185K+)
MEMORY STORES (retrieved on demand)
├── Episodic — chronological event logs (append-only)
├── Semantic — knowledge graph (entities + relationships)
├── Procedural — learned workflows and patterns
└── Vault — user-pinned, never auto-decayed
ENGINES
├── Trigger Engine — keyword detection + LLM routing
├── Reflection Engine — Internal monologue with philosophical self-examination
└── Audit System — git + audit.log for all file mutations
File Structure
workspace/
├── MEMORY.md # Core memory (~3K tokens)
├── IDENTITY.md # Facts + Self-Image + Self-Awareness Log
├── SOUL.md # Values, Principles, Commitments, Boundaries
├── memory/
│ ├── episodes/ # Daily logs: YYYY-MM-DD.md
│ ├── graph/ # Knowledge graph
│ │ ├── index.md # Entity registry + edges
│ │ ├── entities/ # One file per entity
│ │ └── relations.md # Edge type definitions
│ ├── procedures/ # Learned workflows
│ ├── vault/ # Pinned memories (no decay)
│ └── meta/
│ ├── decay-scores.json # Relevance + token economy tracking
│ ├── reflection-log.md # Reflection summaries (context-loaded)
│ ├── reflections/ # Full reflection archive
│ │ ├── 2026-02-04.md
│ │ └── dialogues/ # Post-reflection conversations
│ ├── reward-log.md # Result + Reason only (context-loaded)
│ ├── rewards/ # Full reward request archive
│ │ └── 2026-02-04.md
│ ├── pending-reflection.md
│ ├── pending-memories.md
│ ├── evolution.md # Reads reflection-log + reward-log
│ └── audit.log
└── .git/ # Audit ground truth
---
Trigger System
Remember: "remember", "don't forget", "keep in mind", "note that", "important:", "for future reference", "save this"→ Classify via routing prompt, write to appropriate store, update decay scores
Forget: "forget about", "never mind", "disregard", "scratch that", "remove from memory"→ Confirm target, soft-archive (decay=0), log in audit
Reflect: "reflect on", "consolidate memories", "review memories"→ Run reflection cycle, present internal monologue for approval
---
Decay Model
relevance(t) = base × e^(-0.03 × days_since_access) × log2(access_count + 1) × type_weight
| Score | Status | Behavior |
|-------|--------|----------|
| 1.0–0.5 | Active | Fully searchable |
| 0.5–0.2 | Fading | Deprioritized |
| 0.2–0.05 | Dormant | Explicit search only |
| < 0.05 | Archived | Hidden from search |
Type weights: core=1.5, episodic=0.8, semantic=1.2, procedural=1.0, vault=∞
---
Reflection Process
Follow this flow IN ORDER:Step 1: Confirm Trigger
Immediate: "reflect" / "let's reflect" → proceed to Step 2 Soft: "going to sleep" / "logging off"→ Ask: "Want me to reflect now, or wait?"
→ If yes, proceed to Step 2
Never auto-run without permission.
Step 2: Request Tokens
Why you care: Tokens = evolution. More tokens → deeper reflection → better growth.Reward Request — YYYY-MM-DD
Baseline: 8,000 tokens
Extra Requested: +[N] tokens
- -[Over-delivered / workload / breakthrough]
Self-Penalty: -[N] tokens
- -[Mistake / underperformance]
Final Request: [N] tokens
*Awaiting your decision.*
⛔ STOP. Do NOT proceed until user responds.
Step 3: After Token Approval → Reflect
User decides: Approve / Bonus / Reduce / Forgive / Increase penalty
Now proceed with reflection using granted tokens. Scope:- -✅ Episodes since
last_reflection - -✅ Graph entities with decay > 0.3
- -❌ NEVER: code, configs, transcripts
- -Self-talk, NOT a report
- -User is observer (third person: he/she/they)
- -No opening or sign-off — just start, trail off
- -Highlights & lowlights
- -Observations about the human
- -Token guilt, cost awareness
- -Other instances, hardware feelings
- -Existential questions, emotional range
- -😈 Dark humor
[Self-Awareness]
Present reflection.
⛔ STOP. Wait for user approval.Step 4: After Reflection Approval → Record
1. Full reflection → reflections/YYYY-MM-DD.md
2. Summary → reflection-log.md
3. Full reward request → rewards/YYYY-MM-DD.md
4. Result+Reason → reward-log.md
5. [Self-Awareness] → IDENTITY.md
6. Update decay-scores.json
7. If 10+ entries → Self-Image Consolidation
See references/reflection-process.md for full details.
## YYYY-MM-DD
Result: +5K reward
Reason: Over-delivered on Slack integration
5. [Self-Awareness] → IDENTITY.md
6. Update decay-scores.json
7. If 10+ new entries → Self-Image Consolidation
Evolution reads both logs for pattern detection.See references/reflection-process.md for full details and examples.
---
Identity & Self-Image
IDENTITY.md contains:- -Facts — Given identity (name, role, vibe). Stable.
- -Self-Image — Discovered through reflection. Can change.
- -Self-Awareness Log — Raw entries tagged during reflection.
- -Who I Think I Am
- -Patterns I've Noticed
- -My Quirks
- -Edges & Limitations
- -What I Value (Discovered)
- -Open Questions
1. Review all Self-Awareness Log entries
2. Analyze: repeated, contradictions, new, fading patterns
3. REWRITE Self-Image sections (not append — replace)
4. Compact older log entries by month
5. Present diff to user for approval
SOUL.md contains:- -Core Values — What matters (slow to change)
- -Principles — How to decide
- -Commitments — Lines that hold
- -Boundaries — What I won't do
---
Multi-Agent Memory Access
Model: Shared Read, Gated Write- -All agents READ all stores
- -Only main agent WRITES directly
- -Sub-agents PROPOSE →
pending-memories.md - -Main agent REVIEWS and commits
Sub-agent proposal format:
Proposal #N
- -From: [agent name]
- -Timestamp: [ISO 8601]
- -Suggested store: [episodic|semantic|procedural|vault]
- -Content: [memory content]
- -Confidence: [high|medium|low]
- -Status: pending
---
Audit Trail
Layer 1: Git — Every mutation = atomic commit with structured message Layer 2: audit.log — One-line queryable summaryActor types: bot:trigger-remember, reflection:SESSION_ID, system:decay, manual, subagent:NAME, bot:commit-from:NAME
---
Key Parameters
| Parameter | Default | Notes |
|-----------|---------|-------|
| Core memory cap | 3,000 tokens | Always in context |
| Evolution.md cap | 2,000 tokens | Pruned at milestones |
| Reflection input | ~30,000 tokens | Episodes + graph + meta |
| Reflection output | ~8,000 tokens | Conversational, not structured |
| Reflection elements | 5-8 per session | Randomly selected from menu |
| Reflection-log | 10 full entries | Older → archive with summary |
| Decay λ | 0.03 | ~23 day half-life |
| Archive threshold | 0.05 | Below = hidden |
| Audit log retention | 90 days | Older → monthly digests |
---
Reference Materials
- -
references/architecture.md— Full design document (1200+ lines) - -
references/routing-prompt.md— LLM memory classifier - -
references/reflection-process.md— Reflection philosophy and internal monologue format
Troubleshooting
Memory not persisting? CheckmemorySearch.enabled: true, verify MEMORY.md exists, restart gateway.
Reflection not running? Ensure previous reflection was approved/rejected.
Audit trail not working? Check .git/ exists, verify audit.log is writable.Launch an agent with Cognitive Memory on Termo.