UNITARES runs on your own machine — the client starts it, so there is no endpoint to ping. Last commit 7 Nov 2026.
Accountability infrastructure for long-running AI agents. Shared memory is a provenance graph.
We read the source, 1 h ago · rules 995398eba69f
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.
File.exists?("/.dockerenv")
subprocess.Popen(
case System.cmd("git", ["-C", __DIR__, "rev-parse", "--short", "HEAD"],
path = os.path.join(sock_dir, name)
return yaml.load(text, Loader=_StrictLoader) # noqa: S506 - SafeLoader subclass
BEAM-owned dialectic session creation: guarded INSERT into `core.dialectic_sessions` + immediately start a liveness watcher, so a session
<script src="https://d3js.org/d3.v7.min.js"></script>
# Install build dependencies for pgvector. Use $PG_MAJOR (set by the upstream # postgres base image) so the dev headers always match the base PG version. USER root
sys.exit(run(dict(os.environ)))
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
Persistent memory infrastructure for AI agents. Identity, knowledge graph, and search.
Local shared memory for AI coding agents: SQLite notes with writer provenance, undo, search.
Geniffy is the memory infrastructure for AI applications and agents.
Bi-temporal, provenance-carrying long-term memory for AI agents, in one SQLite file.
Shared project memory for AI coding agents: decisions, lessons, risks and tasks in one graph.
Persistent, structured project memory for AI coding agents, stored locally in SQLite.
Long-term memory for AI agents: graph memory with Hebbian learning, shared by Claude, Codex and co.
Shared memory for AI agents, as a graph in your own Postgres. Writes never call an LLM.
Answers built from our own checks of this server.