Continuum runs on your own machine — the client starts it, so there is no endpoint to ping. Last commit 14 May 2026.
Shared memory + orchestration for your coding agents. Local-first MCP, vector RAG.
We read the source, 18 h ago · rules 3dff92dd89df
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.
RUN apt-get update && apt-get install -y --no-install-recommends \
python3 make g++ ca-certificates \
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.
Hybrid vector + reasoning retrieval, agent memory, multi-agent orchestration, MCP server, and RAG.
File-first, local-first MCP memory for AI coding assistants: Markdown + YAML, no vector DB.
Persistent memory for AI coding agents. Local-first SQLite + vector search. 17 MCP tools.
Local-first memory for coding agents — MCP server, single SQLite file, local embeddings
Local MCP bridge: your coding agent designs on Brilliant's real vector canvas, fully on 127.0.0.1.
Local-first persistent memory for AI agents — SQLite + local embeddings, MCP-native, no cloud.
Persistent semantic memory for AI agents using local ChromaDB vector search. No cloud required.
Graph + vector memory for agents: recall, ingest, search, distill. Local or remote backend.
Answers built from our own checks of this server.