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MCP server · Automation

omega-memory/omega-memory

Persistent memory for AI coding agents

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Scored 9 hours ago · breakdown

About omega-memory/omega-memory

omega-memory/omega-memory is an MCP server published by omega-memory in the Automation category: persistent memory for AI coding agents.

The repository has 225 stars and 34 forks, with the last commit 8 days ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/omega-memory/omega-memory

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (25)

omega_backupExport or import memories for backup/restore

Parameters not published.

omega_checkpointSave task state for cross-session continuity

Parameters not published.

omega_clear_sessionClear all memories for a specific session

Parameters not published.

omega_compactCluster and summarize related memories

Parameters not published.

omega_consolidatePrune stale memories, cap summaries, clean edges

Parameters not published.

omega_delete_memoryDelete a specific memory by ID

Parameters not published.

omega_edit_memoryEdit the content of a memory

Parameters not published.

omega_feedbackRecord feedback on a surfaced memory

Parameters not published.

omega_healthDetailed health check with memory usage and recommendations

Parameters not published.

omega_lessonsCross-session lessons ranked by access count

Parameters not published.

Show all 25 tools
omega_list_preferencesList all stored user preferences

Parameters not published.

omega_profileRead or update user profile

Parameters not published.

omega_querySemantic search with tag filters and contextual re-ranking

Parameters not published.

omega_remindSet a time-based reminder

Parameters not published.

omega_remind_dismissDismiss a reminder

Parameters not published.

omega_remind_listList active reminders

Parameters not published.

omega_resume_taskResume a previously checkpointed task

Parameters not published.

omega_session_statsMemory counts grouped by session

Parameters not published.

omega_similarFind memories similar to a given one

Parameters not published.

omega_storeStore typed memory (decision, lesson, error, summary)

Parameters not published.

omega_timelineMemories grouped by day

Parameters not published.

omega_traverseWalk the relationship graph

Parameters not published.

omega_type_statsMemory counts grouped by event type

Parameters not published.

omega_weekly_digestWeekly knowledge digest with stats and trends

Parameters not published.

omega_welcomeSession briefing with recent memories and profile

Parameters not published.

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Security checks

Static checks derived from the repository 9 hours ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • ✓Tests presentA test suite exists in the repository.
  • !Dependencies pinnedNo lockfile. Installs can pull different code over time.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

Releases

v1.5.20v1.5.20 · 8 Oct 2026
v1.5.19v1.5.19 · 30 Sep 2026
v1.5.18v1.5.18 · 29 Sep 2026
v1.5.17v1.5.17 · 16 Sep 2026
v1.5.16v1.5.16 · 16 Sep 2026

README

OMEGA

Cross-model memory for AI agents. Local-first. Works with Claude, GPT, Gemini, Cursor, Claw Code, and any MCP client. Your agent's brain shouldn't live on someone else's server, or be locked to one provider.

PyPI License


The Problem

AI coding agents are stateless. Every new session starts from zero. The "solutions" either lock you into one model provider or send your codebase context to their cloud.

  • Context loss. Agents forget every decision, preference, and architectural choice between sessions. Developers spend 10-30 minutes per session re-explaining context that was already established.
  • Repeated mistakes. Without learning from past sessions, agents make the same errors over and over. They don't remember what worked, what failed, or why a particular approach was chosen.
  • Cloud memory = someone else's database. Services like Mem0 require API keys and send your data to their servers. When they change pricing, get acquired, or go down, your agent's accumulated intelligence disappears.
  • Vendor lock-in. Anthropic's Memory Tool only works with Claude. OpenAI's memory only works with GPT. Switch models, lose your memory.

OMEGA solves this. Memory, coordination, and learning that runs entirely on your machine. Works with every major LLM and coding agent. No cloud. No API keys. No vendor lock-in.

Quick Install

OMEGA needs Python 3.11 or newer. Check with python3 --version: macOS ships Python 3.9, which is too old. If pip answers No matching distribution found for omega-memory, that is the reason; install a newer Python first (for example brew install python@3.12, or from python.org).

Install OMEGA into its own environment. Homebrew's Python refuses a plain pip install (PEP 668), and an isolated install keeps OMEGA's dependencies away from your projects. Pick one:

# pipx
pipx install "omega-memory[server]"

# or uv
uv tool install "omega-memory[server]"

# or a virtual environment
python3.12 -m venv ~/.venvs/omega     # any Python 3.11 or newer
~/.venvs/omega/bin/pip install "omega-memory[server]"
export PATH="$HOME/.venvs/omega/bin:$PATH"

Keep the quotes around "omega-memory[server]": zsh, the default macOS shell, treats bare square brackets as a pattern and fails. The [server] extra installs the MCP server, which also runs the hook daemon; without it Claude Code gets no OMEGA tools and no hooks.

Then:

omega setup     # downloads the embedding model, registers the MCP server, installs hooks
omega doctor    # checks every step, and names the fix for anything that failed

omega setup --dry-run shows what setup would change without writing or downloading anything.

Claude Desktop

omega setup --client claude-desktop

This registers OMEGA as an MCP server in Claude Desktop's config. Restart Claude Desktop to activate.

Cursor, Windsurf, Cline, Codex, Antigravity

omega setup --client cursor      # or: windsurf, cline, codex, antigravity

Codex and Antigravity get their config file written; for the others setup prints the JSON block to paste. For any other MCP client, omega setup --client venv prints the command and arguments to use. Hooks (automatic capture and surfacing) are available with Claude Code only.

If you only need OMEGA as a Python library for scripts, CI/CD, or automation, install it into your project's environment:

pip install omega-memory    # Core only, no MCP server
from omega import store, query, remember

store("Always use TypeScript strict mode", "user_preference")
results = query("TypeScript preferences")

This gives you the full storage and retrieval API without running an MCP server. Hooks need the MCP server (the hook daemon runs inside it), so a library-only install has no automatic capture or surfacing.

From Source

git clone https://github.com/omega-memory/omega-memory.git
cd omega-memory
python3.12 -m venv .venv && source .venv/bin/activate
pip install -e ".[server,dev]"
omega setup

omega setup will:

  1. Create ~/.omega/ (or $OMEGA_HOME if you set it)
  2. Download the ONNX embedding model, bge-small-en-v1.5 (~130 MB), and a reranker (~90 MB) to ~/.cache/omega/models/
  3. Register omega-memory as an MCP server (Claude Code auto-detected, or specify --client)
  4. Install session hooks into ~/.claude/settings.json
  5. Add an OMEGA block to ~/.claude/CLAUDE.md

If a step fails, the summary marks it [FAIL] with the reason and setup exits with an error.

60-Second Quickstart

OMEGA works through natural language — no API calls, no configuration. Just talk to Claude.

1. Tell Claude to remember something:

"Remember that the auth system uses JWT tokens, not session cookies"

Claude stores this as a permanent memory with semantic embeddings.

2. Close the session. Open a new one.

3. Ask about it:

"What did I decide about authentication?"

OMEGA surfaces the relevant memory automatically:

Found 1 relevant memory:
  [decision] "The auth system uses JWT tokens, not session cookies"
  Stored 2 days ago | accessed 3 times

That's it. Memories persist across sessions, accumulate over time, and are surfaced automatically when relevant — even if you don't explicitly ask.

Key Features

  • Memory & Learning — Stores decisions, lessons, error patterns, and preferences with semantic search. Claude recalls what matters without you re-explaining everything each session. Tools cover compaction, consolidation, timeline, graph traversal, and checkpoint/resume.

  • Multi-Agent Coordination (omega-pro) — File and branch locking, session management, task queues with dependencies, intent broadcasting, and agent-to-agent messaging, so agents don't overwrite each other's work.

  • Intelligent LLM Routing (omega-pro) — Classifies tasks and routes to the optimal model. Coding → Claude Sonnet. Quick edit → Llama 8b at 1/60th the cost. 1M token context → Gemini Flash. 5 providers, 4 priority modes, sub-2ms intent classification.

  • Knowledge Base (omega-pro) — Ingest PDFs, markdown, web pages, and text files into a searchable knowledge base with semantic chunking.

  • Entity Registry (omega-pro) — Multi-entity corporate memory with relationships, hierarchies, and entity-scoped memories/profiles/documents.

  • Secure Profile (omega-pro) — AES-256 encrypted personal data storage with macOS Keychain integration.

How OMEGA Compares

Feature OMEGA Anthropic Memory Mem0 Zep
Works with any LLM/agent Yes Claude only Yes Yes
Your data stays on your machine Yes Partial* No No
No cloud dependency Yes No (needs API) No No
Semantic search + knowledge graph Yes No (file CRUD) $249/mo Yes
Multi-agent coordination Yes (pro) Research preview No No
Works with Claude Code, Cursor, Claw Code Yes Claude only Partial No
Free & open source Yes (Apache 2.0) No Freemium Freemium

Anthropic's Memory Tool stores data client-side but requires Claude API calls for all memory operations. OMEGA runs entirely on-device, including embeddings (ONNX).

Anthropic Memory is for Anthropic. OMEGA is for everyone.

Architecture

     Claude Code  ·  Cursor  ·  Claw Code  ·  Any MCP Client
               │         │         │              │
               └─────────┴─────┬───┴──────────────┘
                               │ stdio/MCP
               ┌───────────────▼─────────────┐
               │   OMEGA MCP Server   │
               │   core memory tools  │
               └──┬──────────────────┘
                  │
         ┌────────▼──────────────┐
         │ Core Memory Engine    │
         │ (semantic search,     │
         │  embeddings, graphs)  │
         └─────┬─────────────────┘
               │
               ▼
         ┌──────────────────────────────────────┐
         │         omega.db (SQLite)             │
         │  memories | edges | embeddings        │
         └──────────────────────────────────────┘

Single database, modular handlers. Optional modules (coordination, router, entity, knowledge, profile) are available with OMEGA Pro and register into the same server process. No separate daemons, no microservices.

MCP Tools Reference

OMEGA runs as an MCP server inside Claude Code. By default it shows the client five tools (omega_store, omega_welcome, omega_protocol, omega_tools, omega_call) to save context: omega_tools lists everything available and omega_call runs any of it. Set OMEGA_CONDENSED=0 in the server's environment to expose every tool directly.

Core tools

Tool What it does
omega_store Store a memory (decision, lesson, error, preference, ...)
omega_query Search memories: semantic, exact phrase, timeline, or browse
omega_welcome Session briefing: recent context, reminders, profile
omega_protocol Operating rules for the session
omega_checkpoint Save task state for cross-session continuity
omega_resume_task Resume a checkpointed task
omega_memory Edit, delete, supersede, rate, or link one memory; find similar ones
omega_profile Read or update the user profile and preferences
omega_remind Set, list, or dismiss time-based reminders
omega_maintain Health, consolidation, compaction, backup and restore
omega_stats Type breakdown, session stats, weekly digest
omega_reflect Find contradictions; trace how a topic's decisions evolved
omega_review Review a diff with memory of your codebase's conventions
context_packet Compact, task-aware memory packet for the current work
omega_consult_gpt, omega_consult_claude Ask another model for a second opinion (needs your own API key for that provider)

OMEGA Pro adds coordination, routing, entity, knowledge base, and profile tools.

CLI

Command Description
omega setup Create dirs, download model, register MCP, install hooks (--dry-run to preview)
omega doctor Verify installation health
omega hooks setup / omega hooks doctor Install or check the Claude Code hooks only
omega status Memory count, store size, model status
omega query <text> Search memories by semantic similarity
omega store <text> Store a memory with a specified type
omega remember <text> Store a permanent preference
omega timeline Show memory timeline grouped by day
omega activity Show recent session activity overview
omega stats Memory type distribution and health summary
omega consolidate Deduplicate, prune, and optimize memory
omega compact Cluster and summarize related memories
omega backup Back up omega.db (keeps last 5)
omega validate Validate database integrity
omega logs Show recent hook errors
omega migrate-db Migrate legacy JSON to SQLite
omega serve Run the MCP server (omega serve --help for the HTTP daemon)

Free and Pro

Core is free and open source. On the free tier, once the store holds 2,000 memories search switches from semantic search to a plain text match, and new memories stop being stored at 5,000. omega status shows where you are. OMEGA Pro removes both limits.

Hooks

All hooks run fast_hook.py, which hands the work to the hook daemon inside the MCP server over ~/.omega/hook.sock. If no server is running, the hooks return at once without doing anything, except reply capture, which runs on its own; none of them blocks Claude Code.

Hook Matcher Handler Purpose
SessionStart all session_start Welcome briefing, session resume
Stop all assistant_capture Capture decisions and fixes from the reply
Stop all session_stop Session summary
UserPromptSubmit all auto_capture Auto-capture lessons/decisions
PostToolUse Edit/Write/NotebookEdit/Bash/Read surface_memories Surface relevant memories

Memory text the hooks inject is labelled as stored data, not instructions.

With OMEGA Pro, additional coordination handlers register automatically: session lifecycle, file/branch claim guards, heartbeat, and git push guards.

HTTP daemon (optional)

omega serve install runs one shared server under launchd instead of one per session (macOS). It listens on 127.0.0.1:8377, refuses requests whose Host or Origin is not local, and requires a bearer key kept in ~/.omega/mcp_api_key. omega serve migrate-config points Claude Code at the daemon and writes that key into its config; omega serve restore-config switches back.

Storage

Path Purpose
~/.omega/omega.db SQLite database (memories, embeddings, edges); set OMEGA_HOME to move ~/.omega
~/.omega/profile.json User profile
~/.omega/hooks.log Hook error log
~/.cache/omega/models/bge-small-en-v1.5-onnx/ ONNX embedding model

Search Pipeline

  1. Vector similarity via sqlite-vec (cosine distance, 384-dim bge-small-en-v1.5)
  2. Full-text search via FTS5 (fast keyword matching)
  3. Type-weighted scoring (decisions/lessons weighted 2x)
  4. Contextual re-ranking (boosts by tag, project, and content match)
  5. Deduplication at query time

Memory Lifecycle

  • Dedup: SHA256 hash (exact) + embedding similarity 0.85+ (semantic) + Jaccard per-type
  • Evolution: Similar content (55-95%) appends new insights to existing memories
  • TTL: Session summaries expire after 1 day, lessons/preferences are permanent
  • Auto-relate: Creates related edges (similarity >= 0.45) to top-3 similar memories
  • Compaction: Clusters and summarizes related memories

Memory Footprint

  • Startup: ~31 MB RSS
  • After first query (ONNX model loaded): ~337 MB RSS
  • Database: ~10.5 MB for ~242 memories

What Gets Modified

omega setup modifies these files outside ~/.omega/:

  • ~/.claude.json — Adds omega-memory MCP server entry
  • ~/.claude/settings.json — Adds hook entries
  • ~/.claude/CLAUDE.md — Adds a managed <!-- OMEGA:BEGIN --> block

All changes are idempotent.

Troubleshooting

omega doctor shows FAIL on import:

  • Ensure pip install -e ".[server]" from the repo root
  • Check python3 -c "import omega" works

MCP server fails to start:

  • Install the server extra into the same environment as OMEGA: pip install "omega-memory[server]" (or pipx install --force "omega-memory[server]")

MCP server not registered:

  • Run omega setup again, or run the claude mcp add -s user omega-memory -- ... command that omega doctor prints: it names the Python from OMEGA's own environment

Hooks not firing:

  • Run omega hooks doctor; omega hooks setup repairs missing or outdated entries
  • Check ~/.omega/hooks.log for errors

Development

pip install -e ".[server,dev]"
pytest tests/                # Test suite
ruff check src/              # Lint

Uninstall

claude mcp remove -s user omega-memory
omega serve uninstall        # only if you installed the HTTP daemon
rm -rf ~/.omega ~/.cache/omega
pipx uninstall omega-memory  # or: uv tool uninstall omega-memory, or delete the venv

Manually remove OMEGA entries from ~/.claude/settings.json and the <!-- OMEGA:BEGIN --> block from ~/.claude/CLAUDE.md.

Contributing

License

Apache-2.0. See LICENSE.

README fetched from the repository 9 hours ago. The original is authoritative.

Questions

About omega-memory/omega-memory

How do I install omega-memory/omega-memory?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is omega-memory/omega-memory safe to use with an AI agent?

Its trust score is 70 out of 100 (good). It passes 4 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is omega-memory/omega-memory still maintained?

Yes — the latest release is v1.5.20 (8 Oct 2026), and the last commit was 8 days ago. The repository has 225 stars and 2 open issues.