paddleocr
Reads text from scanned pages, photos and PDFs and returns it as structured Markdown or JSON, so you can pull tables, formulas and headers out of a document without retyping them. Covers many languages and works as input for AI tools.
Persistent local memory for AI coding agents, letting them store decisions, query past context, coordinate multi-agent work, and resume tasks across sessions. Works with any MCP client.
Claude Code
$ npx -y skills add omega-memory/omega-memory --agent claude-code
Codex
$ npx skills add omega-memory/omega-memory -a codex
Cursor
$ npx skills add omega-memory/omega-memory -a cursor
Gemini CLI
$ npx skills add omega-memory/omega-memory -a gemini-cli
GitHub Copilot
$ npx skills add omega-memory/omega-memory -a github-copilot
OpenCode
$ npx skills add omega-memory/omega-memory -a opencode
Windsurf
$ npx skills add omega-memory/omega-memory -a windsurf
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]"
# 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.
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.
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.
| 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 <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) |
Reads text from scanned pages, photos and PDFs and returns it as structured Markdown or JSON, so you can pull tables, formulas and headers out of a document without retyping them. Covers many languages and works as input for AI tools.
Gives your AI assistant a memory that persists across sessions, so it remembers your preferences and earlier work in this repository instead of starting fresh. Search, forget, pause and resume memories with simple commands.
Gives AI agents a library of ready-made skills for scientific work such as metabolic flux analysis, protein experiment design, time series modeling, and analytical method validation, so research tasks need less hand-built code. It works with any agent that supports the open Agent Skills standard.
Gives Claude Code skills, agents, and commands for PostHog analytics, session replay, feature flags, error tracking, and LLM observability. Includes MCP server setup and project access checks.
Install it with the command on its page. It includes omega-memory. Its skills do not fire on their own yet. Free and open source.
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