mymem0ry 0.15.2

Personal memory system for AI coding agents — offline, zero API keys, cross-agent handoffs, semantic search

myMem0ry

Personal memory for AI coding agents. Offline. Zero API keys. Works with any agent.

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Persistent memory that any AI agent can read and write. Quit Claude Code mid-task, open Codex in the same directory — it picks up where you left off.

Features

• Scoped memory — session → context (branch) → project → global, resolved automatically from cwd
• Cross-agent handoffs — typed records with summary, open questions, next steps
• Semantic search — spaCy + sqlite-vec + BM25/FTS5/hybrid RRF fusion
• Lifecycle hooks — fire-and-forget HTTP endpoint, payload sanitization, immutable observations
• Zero LLM tokens for writes — bulk writes (conversation archiving, logging) via hooks only
• Retention — salience-based decay with tiers (working/procedural/semantic), pin/unpin
• Auth — Bearer token, host allowlisting, CORS
• Web UI — dark mode read-only viewer (dashboard, projects, search, audit log)
• Backup/restore — tarball CLI commands
• Multi-agent — Claude Code, OpenCode, Codex, Cursor, Gemini CLI, VS Code, Docker

Install

pip install uv        # or: curl -LsSf https://astral.sh/uv/install.sh | sh
uv tool install mymem0ry
mymem0ry doctor       # checks + auto-installs spaCy model

The default spaCy model is Portuguese (pt_core_news_lg). For English, set SPACY_MODEL=en_core_web_lg in .env before running mymem0ry doctor.

Zero config: after install, just add the MCP server + hooks to your agent config below. The HTTP server auto-starts when the MCP server runs — no separate serve command needed.

Agent Setup

Claude Code

claude mcp add --scope user mymem0ry -- mymem0ry-mcp

MCP + hooks in ~/.claude/settings.json:

First get the correct hooks paths:

mymem0ry hooks --config

Then copy the printed snippet into your settings.json. Example result:

{
  "mcpServers": {
    "mymem0ry": {
      "type": "stdio",
      "command": "mymem0ry-mcp"
    }
  },
  "hooks": {
    "SessionStart": [
      {
        "matcher": "",
        "hooks": [{"type": "command", "command": "/home/user/.local/share/mymem0ry/hooks/claude-code/session-start.sh"}]
      }
    ],
    "SessionEnd": [
      {
        "matcher": "",
        "hooks": [{"type": "command", "command": "/home/user/.local/share/mymem0ry/hooks/claude-code/session-end.sh"}]
      }
    ]
  }
}

OpenCode

Add to ~/.config/opencode/opencode.json (global) or ./opencode.json (project):

{
  "mcp": {
    "mymem0ry": {
      "type": "local",
      "command": ["mymem0ry-mcp"],
      "enabled": true
    }
  },
  "hooks": {
    "session-start": "curl -s -m 2 -X POST http://127.0.0.1:49374/hook -H 'Content-Type: application/json' -d '{\"kind\":\"session-start\",\"session_id\":\"'$OPENCODE_SESSION_ID'\",\"agent\":\"opencode\",\"cwd\":\"'$PWD'\"}' > /dev/null 2>&1",
    "session-end": "curl -s -m 2 -X POST http://127.0.0.1:49374/hook -H 'Content-Type: application/json' -d '{\"kind\":\"session-end\",\"session_id\":\"'$OPENCODE_SESSION_ID'\",\"agent\":\"opencode\",\"cwd\":\"'$PWD'\"}' > /dev/null 2>&1"
  }
}

Codex CLI

codex mcp add mymem0ry -- mymem0ry-mcp

VS Code

code --add-mcp '{"name":"mymem0ry","command":"mymem0ry-mcp"}'

Cursor

cursor --add-mcp '{"name":"mymem0ry","command":"mymem0ry-mcp"}'

Gemini CLI

Same stdio pattern. Add to Gemini CLI MCP config with command: mymem0ry-mcp.

Docker

docker compose -f docker/docker-compose.yml up -d
curl http://127.0.0.1:49374/health

For detailed per-agent instructions: docs/install.md

Lifecycle Hooks

Hooks POST lifecycle events to POST /hook on the myMem0ry HTTP server. The server auto-starts when the MCP server runs — no manual serve step needed.

Agent	Hooks	How
OpenCode	Native	hooks in opencode.json with $OPENCODE_SESSION_ID
Claude Code	Native	hooks in ~/.claude/settings.json — scripts receive full payload via stdin
Codex CLI	Hook scripts	codex hook add session-end ./hook-session-end.sh
Generic	Manual	curl -X POST http://127.0.0.1:49374/hook ...

Hook payload fields:

Field	Required	Description
kind	yes	session-start, session-end, log, user-prompt, post-tool-use, pre-compact
session_id	yes	Unique session identifier (max 64 chars)
agent	no	opencode, claude-code, codex, manual, hook
cwd	no	Working directory for context resolution
transcript_path	no	Path to a Claude Code transcript JSONL — on session-end the server parses it and archives the conversation (zero LLM tokens)
title	no	Short label (max 500 chars)
body	no	Content (max 10,000 chars)
messages	no	`[{"role": "user"

All payloads are sanitized: secrets redacted, home paths stripped, fields truncated.

Configuration

All via environment variables (or .env file in the project root):

Variable	Default	Description
CONVERSATIONS_DIR	data/conversations	Where archived conversation .md files are stored
MEMORIES_DIR	data/memories	Where curated memory .md exports are stored (kept separate so general search doesn't bury them)
DB_PATH	data/memories.db	SQLite memories database (source of truth)
VECTOR_DB_PATH	data/conversations/.vec.db	sqlite-vec index
SPACY_MODEL	pt_core_news_lg	spaCy model for embeddings and search (set en_core_web_lg for English)
MEM0RY_HOST	127.0.0.1	Host for HTTP transport
MEM0RY_PORT	49374	Port for HTTP transport
MEM0RY_TOKEN	(empty)	Bearer token for HTTP auth (skip = no auth)
MEM0RY_ALLOWED_HOSTS	localhost,127.0.0.1	Host allowlist (DNS rebinding protection)
MEM0RY_CORS_ORIGINS	(empty)	CORS origins for web UI

# Custom storage location
export DB_PATH=/path/to/shared/memories.db
export CONVERSATIONS_DIR=/path/to/shared/conversations

# Portuguese language support
export SPACY_MODEL=pt_core_news_lg
mymem0ry doctor

Import Conversations

myMem0ry auto-detects the format. Supports ChatGPT, Gemini, and Claude exports.

mymem0ry split                                    # Auto-detect
mymem0ry split --source path/to/chatgpt-export    # Specific source
mymem0ry split --source path/to/data --type claude-code  # Force parser

mymem0ry index                                    # Build indexes
mymem0ry migrate                                  # Migrate to structured memory

CLI Commands

# Context & search
mymem0ry context --cwd .                          # Load context for current project
mymem0ry save "Title" "Content" --scope project   # Save a memory
mymem0ry log "message"                            # Quick session log
mymem0ry search "query"                           # ripgrep search
mymem0ry search "query" --backend hybrid --expand # BM25+vector RRF fusion

# Overview
mymem0ry stats                                    # Database overview
mymem0ry projects                                 # List projects with memories
mymem0ry doctor                                   # System health check

# Retention
mymem0ry decay --days 90 --dry-run                # Preview decay
mymem0ry pin <memory_id>                          # Pin memory (exempt from decay)
mymem0ry unpin <memory_id>
mymem0ry forget-sweep --dry-run                   # Preview salience-based sweep

# Handoffs
mymem0ry handoff begin --summary "..."            # Create handoff for next agent
mymem0ry handoff accept                           # Accept pending handoff
mymem0ry handoff status                           # Check server status

# Hooks
mymem0ry hooks --config                       # Print settings.json snippet
mymem0ry hooks --path                         # Print hooks directory path
mymem0ry hooks --install                      # Install hooks for detected agent

# Server & backup
mymem0ry serve                                    # Start HTTP server
mymem0ry serve --detach                           # Start in background
mymem0ry backup --to backup.tar.gz                # Backup DB + conversations
mymem0ry restore --from backup.tar.gz             # Restore from backup

Memory Scopes

Resolved automatically from cwd — no manual configuration needed:

Scope	Identifier	What it stores	Example
session	auto UUID	Current session state	"Trying to fix auth bug"
context	git branch	Decisions for a branch	"On feat/auth, using JWT"
project	git remote URL	Project architecture	"Uses FastAPI + SQLite"
global	—	User preferences	"Prefer conventional commits"

get_context() aggregates all 4 levels in priority order.

MCP Tools + Hook Writes

MCP Tools (low token cost — reads + selective writes)

Tool	Description
get_context	Aggregate context from all scopes, ranked by salience (also auto-injected at session start)
save_memory	Save a memory with scope, type, and auto-resolved context (returns its id)
search_memory	Search your curated memories — scope/type/tags-aware, returns ids
search_conversations	Broad full-text/semantic search across archived transcripts
read_memory	Fetch full content by memory id or conversation path
memory_stats	Database statistics
memory_handoff_begin	Create handoff for next agent
memory_handoff_accept	Peek at the pending handoff (non-destructive; the hook consumes it)
memory_pin	Pin a memory (exempt from decay)
memory_unpin	Unpin a memory
memory_forget_sweep	Sweep stale memories

Hook writes (zero LLM tokens)

Hook kind	Description
session-end with messages	Archives full conversation to .md + auto-handoff
log	Quick session log (creates session-scoped memory)
session-start	Records session start observation
user-prompt / post-tool-use / pre-compact	Lifecycle observations

Web UI

When running in HTTP mode (MCP_TRANSPORT=streamable-http), a read-only web UI is available:

• / — Dashboard with stats and recent memories
• /projects — List of projects with memory counts
• /project/{id} — Project detail with memories
• /memory/{id} — Single memory detail
• /search — Full-text search with scope/type filters
• /audit — Audit log of all mutations

Documentation

• docs/install.md — Detailed per-agent install instructions
• docs/usage.md — Usage guide, hooks, and workflows
• AGENTS.md — Architecture and developer reference

Development

git clone https://github.com/cccadet/myMem0ry.git
cd myMem0ry
bin/setup
uv run python -m pytest
uv run ruff check .

License

MIT