clawmem

What problem does it solve?

This Skill solves the problem of providing AI agents with access to a persistent memory layer that allows them to leverage past decisions, preferences, and information to enhance context-aware responses.

Core Features & Use Cases

• Contextual Retrieval: Automatically surfaces relevant context on every prompt for AI agents.
• Session Bootstrap: Boots up sessions with user profiles, latest handoffs, recent decisions, and stale notes.
• Decision Capture: Captures decisions, preferences, milestones, and problems from session transcripts.
• Import and Synthesize: Imports conversation exports from various sources and synthesizes structured information.
• Handoff Generation: Generates handoffs at session end to ensure continuity between sessions.
• Memory Learning: Learns what matters through a feedback loop that boosts referenced notes and decays unused ones.
• Query Intent Classification: Classifies query intent to guide search strategies.
• Multi-Graph Traversal: Traverses semantic, temporal, and causal graphs for in-depth analysis.
• Memory Evolution: Evolves memory metadata as new documents create or refine connections.
• Causal Relationship Inference: Infers causal relationships between facts.
• Contradiction Detection: Detects contradictions between new and prior decisions.
• Cross-Entity Merge Prevention: Prevents context bleed in derived insights.
• Structured Triple Injection: Injects knowledge-graph facts as structured triples.
• Focus Topic Boost: Applies a focus topic boost for session-specific contexts.
• Document Quality Scoring: Scores document quality using structure, keywords, and metadata richness signals.
• Co-accessed Document Boost: Boosts co-accessed documents.
• Query Decomposition: Decomposes complex queries into typed retrieval clauses.
• Stale Embedding Cleanup: Cleans stale embeddings before embed runs.
• Transaction-safe Indexing: Ensures transaction-safe indexing.
• Deduplicated Hook Observations: Deduplicates hook-generated observations.
• Temporal Navigation: Navigates temporal neighborhoods around any document.
• Frequently-REVISED Memory Boost: Boosts frequently-revised memories.
• Lifecycle Management: Manages document lifecycle through pin/snooze and archival policies.
• Auto-routing Queries: Auto-routes queries via memory_retrieve.
• Project Issue Syncing: Syncs project issues from Beads issue trackers.
• Heavy Maintenance Lane: Provides a quiet-window heavy maintenance lane for background tasks.

Quick Start

Use the clawmem skill to initialize a new memory vault at ~/notes, name it notes, and index your documents.

clawmem bootstrap ~/notes --name notes