Keyboard shortcuts

Press ← or → to navigate between chapters

Press S or / to search in the book

Press ? to show this help

Press Esc to hide this help

Self-Learning Memory System

A Rust-based self-learning memory system with episodic memory, pattern extraction, and intelligent retrieval capabilities.

Overview

The Self-Learning Memory System provides:

  • Episodic Memory: Store and retrieve task execution episodes with context
  • Pattern Extraction: Automatically extract patterns from successful task completions
  • Intelligent Retrieval: Semantic search with multiple embedding providers
  • MCP Server: Model Context Protocol server for AI assistant integration
  • CLI Tools: Command-line interface for all operations

Key Features

FeatureDescription
Episode ManagementCreate, log steps, and complete episodes
Pattern RecognitionExtract and use patterns for recommendations
Multi-provider EmbeddingsOpenAI, Cohere, Ollama, local models
Dual StorageTurso (persistent) + redb (cache)
MCP ProtocolFull MCP 2025-11-25 support

Quick Start

# Install the CLI
cargo install do-memory-cli

# Start the MCP server
do-memory-mcp-server

# Create an episode
do-memory-cli episode create --task "My task"

Architecture

The system consists of several crates:

  • do-memory-core: Core types and logic
  • do-memory-storage-turso: Turso/libSQL backend
  • do-memory-storage-redb: redb cache backend
  • do-memory-mcp: MCP server
  • do-memory-cli: Command-line interface

See the Getting Started chapter for details.