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Releases: contextpilot-dev/memorypilot

v0.1.1 - Complete daemon management and MCP fixes

17 Feb 16:23

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What's New

Features

  • Daemon management: Start/stop/status with PID file tracking
  • Background mode: memorypilot daemon start -b runs detached
  • MCP remember fixed: Now actually saves memories to database
  • Embedding generation: Memories get vector embeddings for semantic search
  • Hybrid search: MCP recall uses semantic + keyword search
  • Cross-platform: Works on macOS, Linux, and Windows

Usage

# Initialize
memorypilot init

# Start daemon in background
memorypilot daemon start -b

# Check status
memorypilot daemon status

# Remember something
memorypilot remember "Always use transactions for DB ops" --type decision

# Search memories (semantic + keyword)
memorypilot recall "database best practices"

# Stop daemon
memorypilot daemon stop

Installation

# macOS (Apple Silicon)
curl -L https://github.com/contextpilot-dev/memorypilot/releases/download/v0.1.1/memorypilot-darwin-arm64 -o memorypilot
chmod +x memorypilot && sudo mv memorypilot /usr/local/bin/

# Linux
curl -L https://github.com/contextpilot-dev/memorypilot/releases/download/v0.1.1/memorypilot-linux-amd64 -o memorypilot
chmod +x memorypilot && sudo mv memorypilot /usr/local/bin/

Requirements

  • Ollama for semantic search: ollama pull nomic-embed-text
  • Optional: ollama pull llama3.2 for automatic memory extraction

v0.1.0 - Initial Release

17 Feb 05:48

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MemoryPilot v0.1.0

One memory. Every AI. Zero repetition.

Part of the ContextPilot family.

Features

  • 🧠 Passive capture (git, file, terminal watchers)
  • 🔍 Semantic search with vector embeddings
  • 🤖 AI-powered memory extraction (via Ollama)
  • 🔌 MCP server for Claude Code / OpenClaw / Windsurf
  • 📦 Single binary, no dependencies

Installation

curl -fsSL https://contextpilot.dev/memorypilot/install.sh | sh

Or with Go:

go install github.com/contextpilot-dev/memorypilot@latest

Quick Start

memorypilot init
memorypilot daemon start
memorypilot recall "auth patterns"

Requirements

  • For AI features: Ollama with llama3.2 and nomic-embed-text models