Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Persistent memory for AI coding agents. #1 on LongMemEval. Local-first.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"core": {
"command": "uvx",
"args": [
"omega-memory"
]
}
}
}Run this in your terminal
claude mcp add core -- uvx omega-memoryPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"core": {
"command": "uvx",
"args": [
"omega-memory"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"core": {
"type": "stdio",
"command": "uvx",
"args": [
"omega-memory"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account omega-memory, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.9.3) reached the registry 9 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.
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.
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.
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]"
uv tool install "omega-memory[server]"
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.
omega setup --client claude-desktop
This registers OMEGA as an MCP server in Claude Desktop's config. Restart Claude Desktop to activate.
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.
Library-only install (no MCP server)
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.
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:
~/.omega/ (or $OMEGA_HOME if you set it)~/.cache/omega/models/omega-memory as an MCP server (Claude Code auto-detected, or specify --client)~/.claude/settings.json~/.claude/CLAUDE.mdIf a step fails, the summary marks it [FAIL] with the reason and setup exits with an error.
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.
| 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.
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.
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.
| 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.
| 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 | Search memories by semantic similarity |
omega store | Store a memory with a specified type |
omega remember | 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) |
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
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