ADR-076: Bridge Claude Code Auto-Memory to AgentDB Vector Search

Status: Implemented (Phase 1: helper hook) / Proposed (Phase 2: MCP tools) Date: 2026-04-07 Branch: feat/claude-code-memory-bridge Related: ADR-048 (AutoMemoryBridge), ADR-075 (learning pipeline), ruDevolution

Context

Claude Code's auto-memory system stores project knowledge in ~/.claude/projects/*/memory/MEMORY.md files with YAML frontmatter. Ruflo's AgentDB stores data in sql.js with ONNX embeddings (all-MiniLM-L6-v2, 384d) for semantic vector search. These two systems were disconnected.

ruDevolution research (07-context-and-session-management.md) documents Claude Code's memory internals: auto-memory paths, env vars (autoMemoryEnabled, CLAUDE_CODE_DISABLE_AUTO_MEMORY), session persistence, dream mode, and compaction system.

Decision

Two-phase approach:

Phase 1: Helper Hook (Implemented)

The existing auto-memory-hook.mjs (SessionStart/SessionEnd) bridges Claude Code memory to AgentDB:

import: Reads MEMORY.md → JSON backend → stores into sql.js with ONNX embeddings
import-all: Imports ALL Claude memories across ALL projects into AgentDB
sync: Writes insights back to MEMORY.md + flushes intelligence patterns
status: Shows bridge, AgentDB, SONA, patterns status

Limitation: Only runs on session hooks. Not accessible from MCP or CLI during a session.

Phase 2: MCP Tools + CLI Commands (Proposed)

Move bridge logic into proper MCP tools for real-time access:

MCP Tool	Description	Replaces
`memory_import_claude`	Import current project's Claude memories into AgentDB	`import` command
`memory_import_all`	Import ALL Claude memories across ALL projects	`import-all` command
`memory_bridge_status`	Show bridge status, vector counts, SONA state	`status` command
`memory_bridge_sync`	Sync AgentDB insights back to MEMORY.md	`sync` command
`memory_search_unified`	Search across both Claude memory and AgentDB	New

CLI equivalents:

bash

ruflo memory import-claude          # Import current project memories
ruflo memory import-claude --all    # Import all projects
ruflo memory bridge-status          # Show bridge status
ruflo memory bridge-sync            # Sync back to MEMORY.md
ruflo memory search --unified       # Search both stores

Why MCP over helpers:

Accessible during sessions (not just start/end)
Discoverable via ToolSearch
Testable via CLI
Works via npx ruflo without file path dependencies
Composable with other MCP tools (swarm, hooks, hive-mind)
Claude Code can call them directly through the MCP server

Phase 3: MicroLoRA Embedding Adaptation (Future)

Once @ruvector/learning-wasm MicroLoRA is functional (currently identity pass-through due to zero-initialized weights), adapt the base MiniLM-L6-v2 embeddings for Claude Code's domain vocabulary:

Tool names, agent types, MCP concepts cluster closer
Successful trajectory patterns reinforce embedding neighborhoods
Contrastive loss from (anchor, positive, negative) triplets
~2.6μs per adaptation step

Current blocker: WASM binding issues in computeContrastiveLoss (array type mismatch) and optimizerStep (Buffer reference). Tracked in @ruvector/learning-wasm.

Architecture

Phase 1 (current):                     Phase 2 (proposed):
                                        
SessionStart hook                      MCP Tool: memory_import_claude
  └→ auto-memory-hook.mjs import         └→ memory-tools.ts handler
       └→ AutoMemoryBridge                    └→ read MEMORY.md files
       └→ storeEntry() + ONNX                └→ storeEntry() + ONNX
                                              └→ return results to Claude
                                        
SessionEnd hook                        MCP Tool: memory_bridge_sync
  └→ auto-memory-hook.mjs sync           └→ callable any time
       └→ syncToAutoMemory()                  └→ syncToAutoMemory()
       └→ flushPatterns()                     └→ flushPatterns()
                                        
Not available mid-session              MCP Tool: memory_search_unified
                                         └→ search both Claude + AgentDB
                                         └→ merged, deduplicated results

Verified Results (Phase 1)

Metric	Value
Claude memory files found	4 (across 3 projects)
Entries imported	5 (with section-level granularity)
Embedding model	ONNX all-MiniLM-L6-v2, 384 dimensions
Search "security vulnerability"	→ security_analysis (score: 0.435)
Search "npm publish feedback"	→ publish workflow (score: 0.624)
Search "ruvector package"	→ ruvector analysis (score: 0.678)
Vectorization time	~2s for 5 entries

Files

Phase 1 (Implemented)

.claude/helpers/auto-memory-hook.mjs — vectorization bridge + import-all + pattern flush

Phase 2 (Proposed)

v3/@claude-flow/cli/src/mcp-tools/memory-tools.ts — add MCP tool handlers
v3/@claude-flow/cli/src/commands/memory.ts — add CLI subcommands

References

ruDevolution — Claude Code internals via decompilation
07-context-and-session-management.md — auto-memory paths, env vars, session persistence
13-extension-points.md — hooks, MCP, agents, skills integration catalog
ADR-048: AutoMemoryBridge design
ADR-075: Self-learning pipeline wiring