Omneum runs on your own machine — the client starts it, so there is no endpoint to ping. Last commit 29 Oct 2026.
Text-blind context control plane for AI agents. Select high-utility context under token budgets.
We read the source, 2 d ago · rules 995398eba69f
Things with no honest explanation: a promise that contradicts the code, code that runs at install time while hiding what it does, data leaving the machine.
result = subprocess.run(['runuser', '-u', ACCOUNTS[0], '--', str(RUNTIME / 'venv/bin/python'), '-I', '-B',
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
result = subprocess.run(
subprocess.run([cmd, "--version"], check=True, capture_output=True, shell=True)
env=dict(os.environ.items()), # Convert to list of tuples for env update
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
Code changes quietly between releases, and nobody reads the diff of a dependency. We do, on every release — watch Omneum and you get told the day something new turns up.
Token and context budget for AI agents. Tracks spend and gates the session.
Code knowledge graph over MCP: token-budgeted context for AI coding agents.
Project memory and a control plane for AI coding agents.
Fetch public web pages as clean, token-budgeted text for AI agents.
AI agents compare and sign up for Texas utility plans: electricity, internet, gas, water, trash.
AI agents compare and sign up for Texas utility plans: electricity, internet, gas, water, trash.
Self-hostable policy control plane for AI coding agents.
Git-backed platform for skills, tools, and context for AI agents
Answers built from our own checks of this server.