
Core
io.github.omega-memoryPublished by GitHub account omega-memoryv0.9.3Updated Oct 27, 2026
Persistent memory for AI coding agents. #1 on LongMemEval. Local-first.
The publisher's own server: core.blue
Overview
Local-first persistent memory server for AI coding agents, letting an assistant store, search and recall decisions, lessons and preferences across sessions.
- What you can do
- Store, search, edit, rate, link and delete memories with semantic, keyword and timeline search
- Brief the session, set operating rules, and read or update the user profile and reminders
- Checkpoint and resume tasks, build task-aware context packets, and review diffs against stored conventions
- Maintain the store: consolidation, compaction, backup and restore, stats, contradiction checks and decision history
- Consult another model for a second opinion when a provider API key is supplied
- When to use it
- Useful when working with a coding agent across many sessions and you want decisions, preferences and past mistakes to carry over instead of being re-explained. Also fits teams that want memory kept on their own machine rather than in a vendor cloud.
- Requirements
- Runs as a local stdio process from the PyPI package omega-memory with the server extra; needs Python 3.11 or newer and an isolated install (pipx, uv or a virtual environment). Setup downloads ONNX embedding and reranker models (about 220 MB) and writes config into the client, including Claude Code settings and CLAUDE.md. No API keys are needed for core memory; the consult tools need your own provider key.
Installation
In SourceWeft
- Open Core in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
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.
[Python 3.11+] [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 [email protected], 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:
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 --dry-run shows what setup would change without writing or downloading anything.
Claude Desktop
This registers OMEGA as an MCP server in Claude Desktop's config. Restart Claude Desktop to activate.
Cursor, 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:
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
omega setup will:
- Create
~/.omega/(or$OMEGA_HOMEif you set it) - Download the ONNX embedding model, bge-small-en-v1.5 (~130 MB), and a reranker (~90 MB) to
~/.cache/omega/models/ - Register
omega-memoryas an MCP server (Claude Code auto-detected, or specify--client) - Install session hooks into
~/.claude/settings.json - 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:
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
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
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
OMEGA Pro adds coordination, routing, entity, knowledge base, and profile tools.
CLI
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.
Advanced Details
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.
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
Search Pipeline
- Vector similarity via sqlite-vec (cosine distance, 384-dim bge-small-en-v1.5)
- Full-text search via FTS5 (fast keyword matching)
- Type-weighted scoring (decisions/lessons weighted 2x)
- Contextual re-ranking (boosts by tag, project, and content match)
- 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
relatededges (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— Addsomega-memoryMCP 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]"(orpipx install --force "omega-memory[server]")
MCP server not registered:
- Run
omega setupagain, or run theclaude mcp add -s user omega-memory -- ...command thatomega doctorprints: it names the Python from OMEGA's own environment
Hooks not firing:
- Run
omega hooks doctor;omega hooks setuprepairs missing or outdated entries - Check
~/.omega/hooks.logfor errors
Development
Uninstall
Manually remove OMEGA entries from ~/.claude/settings.json and the <!-- OMEGA:BEGIN --> block from ~/.claude/CLAUDE.md.
Contributing
License
Apache-2.0. See LICENSE.
Source: README.md at commit 31c90ef
Tools
0Version history
1- v0.9.3LatestSep 16, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts
Other Core integrations
core.blue
blue.coreOfficial publisher
Remote MCP endpoint for core.blue's private per-customer agent memory "houses": read its manual, try a sandbox, get pricing and recommendations, and request a…

Brevio Core
Published by GitHub account Brevio-Ventures
Local MCP server that lets a coding agent scan code for recurring agent-written mistakes, explain rules, list rules and turn a fix into a guard.

brain-core
Published by GitHub account xy-claude
Local MCP server that gives a Claude Code agent persistent memory across sessions, stored as markdown files plus a SQLite and vector index on your disk.

Scovant Core
Published by GitHub account Scovant
Passive AI-agent readiness scan of a website: robots, llms.txt, JSON-LD, MCP discovery, security.

ProofCore
Published by GitHub account ProofCore-Protocol
Zero-Auth Cryptographic Notarization & Evidence Layer on TON Blockchain for AI Agents.