Implement consistency architecture (10-principle framework)
Adds: - ARCHITECTURE.md: Full documentation of 3-layer system - Context Pipeline: Preprocessing layer (pipeline.js) - Workflow Router: 4 fixed workflows (coding, debug, deploy, audit) - Validation Layer: Post-response quality gate (validator.js) - Format Templates: Structured output templates - TOOLS.md: Beavault connection documentation Architecture: - Layer 1: Behavior rules (always injected) - Layer 2: Persistent facts (structured memory) - Layer 3: Ephemeral context - Priority enforcement: Rules > Prefs > Task > Chat - Memory write policy: Only confirmed fixes, repeated preferences
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# OpenClaw Agent Architecture
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## Core Philosophy
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**LLM = Execution Engine (stateless)**
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**Orchestrator = Brain (decides what LLM sees)**
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**Database = Source of Truth**
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**Router = Workflow Controller**
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**Validator = Quality Gate**
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---
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## Three-Layer Context System
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### Layer 1: Behavior Rules (Always Injected)
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These are **non-negotiable** and loaded every session. They live in:
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- `SOUL.md` - Core operating principles
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- `AGENTS.md` - OpenClaw operating instructions
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- `IDENTITY.md` - Role scope and responsibilities
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- `workflow/*.md` - Workflow-specific rules
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**Priority: ABSOLUTE** — These override everything else.
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### Layer 2: Persistent Facts (Database)
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User preferences, confirmed decisions, validated fixes. Stored in:
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- **Structured Memory** (`memory/items/`) - JSON with metadata
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- **Project Memory** (`Projects/*/memory/`) - Per-project facts
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- **Vector DB** (future) - Semantic search for similar tasks
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**Priority: HIGH** — Loaded at session start, refreshed as needed.
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### Layer 3: Ephemeral Context
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Current task, conversation history, tool outputs. This is:
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- Session transcript (limited history)
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- Current tool results
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- Active workflow state
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**Priority: LOW** — Constantly changing, not relied upon for consistency.
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---
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## Preprocessing Pipeline
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Every request goes through this pipeline **before** reaching the LLM:
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```
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Step 1: LOAD RULES
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├── Inject SOUL.md
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├── Inject AGENT.md
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├── Inject IDENTITY.md
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└── Inject active workflow rules
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Step 2: LOAD PREFERENCES
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├── Query structured memory (high-importance items)
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├── Load user preferences (format, communication style)
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└── Load project-specific context
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Step 3: LOAD RELEVANT MEMORY
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├── Vector search for similar past tasks
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├── Load project STATUS.md
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└── Load recent DECISIONS.md entries
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Step 4: BUILD CONTEXT PACKET
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├── Priority order: Rules → Prefs → Memory → Task
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└── Truncate to fit context window
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```
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---
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## Priority Enforcement
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```
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1. SYSTEM RULES (absolute)
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└── Safety, format, tool constraints
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2. USER PREFERENCES
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└── Communication style, format preferences
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3. TASK INSTRUCTIONS
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└── Current goal, acceptance criteria
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4. CHAT INPUT
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└── User's current message
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```
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**If lower priority conflicts with higher priority → Higher wins.**
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---
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## Workflow Router
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Before responding, classify intent and route to fixed workflow:
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| Intent | Workflow | Fixed Template |
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|--------|----------|----------------|
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| coding | `workflows/coding.md` | Code structure, tests, docs |
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| troubleshooting | `workflows/debug.md` | Diagnose → Fix → Verify |
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| planning | `workflows/planning.md` | Breakdown → Dependencies → Timeline |
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| deployment | `workflows/deploy.md` | Check → Backup → Execute → Verify |
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| audit | `workflows/audit.md` | Inventory → Assess → Report |
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Each workflow has:
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- **Fixed prompt template**
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- **Fixed output format**
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- **Fixed tool access rules**
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---
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## Validation Layer
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After LLM responds, run validation:
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```python
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validator.check(response, against={
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"rules_followed": bool,
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"format_compliance": bool,
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"workflow_adherence": bool,
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"safety_constraints": bool
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})
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if not validator.passed:
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response = regenerate_with_feedback(validator.errors)
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```
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---
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## Memory Write Policy
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**Only store:**
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1. ✅ Repeated preferences (observed 2+ times)
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2. ✅ Confirmed fixes (user verified it worked)
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3. ✅ Validated decisions (documented in DECISIONS.md)
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4. ✅ Explicit "remember this" commands
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**Never store:**
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1. ❌ Random conversation text
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2. ❌ Guesses or speculation
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3. ❌ Partial ideas
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4. ❌ Tool outputs (ephemeral)
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---
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## Format Locking
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Enforce structure at system level:
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### Code Changes
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```markdown
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## Summary
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[What changed]
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## Files Modified
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- file1.py: [change description]
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- file2.py: [change description]
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## Verification
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- [ ] Tests pass
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- [ ] Lint passes
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- [ ] Manual verification complete
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```
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### Debug Reports
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```markdown
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## Problem
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[Symptom]
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## Cause
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[Root cause]
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## Fix
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[What was changed]
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## Validation
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[How verified]
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```
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---
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## Implementation Status
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| Component | Status | Location |
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|-----------|--------|----------|
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| Behavior Rules (Layer 1) | ✅ Implemented | SOUL.md, AGENTS.md, IDENTITY.md |
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| Persistent Facts (Layer 2) | 🔄 Partial | memory/items/, Projects/*/memory/ |
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| Ephemeral Context (Layer 3) | ✅ Built-in | Session transcript |
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| Preprocessing Pipeline | 🔄 In Progress | architecture/pipeline.js |
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| Workflow Router | ❌ Not Started | workflows/ |
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| Validation Layer | ❌ Not Started | architecture/validator.js |
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| Memory Write Policy | 🔄 Documented | This file + MEMORY.md |
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| Format Locking | ❌ Not Started | templates/ |
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---
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## Next Steps
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1. Implement preprocessing pipeline
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2. Create workflow router with 5 core workflows
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3. Build validation layer
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4. Add format templates
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5. Migrate memory system to enforce write policy
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