Typed on-prem knowledge graph for AI agents — read-only for humans, write-only for agents via MCP.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-pcas-io-plexus": {
"command": "<see-readme>",
"args": []
}
}
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Typed on-prem knowledge graph for AI agents — read-only for humans, write-only for agents via MCP.
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A typed, on-prem knowledge graph for AI agents. Read-only for humans, write-only for agents, spoken over the Model Context Protocol.
Part of the pcas.io product line.

Knowledge management has been a document sport for twenty years — folders, notes, wikis, editor wars. plexus inverts that.
In plexus, every piece of information is a typed entity — concept, decision, fact, project, task, document, skill, … — with hard, temporally-valid edges between them. No free-form text, no forgotten tags, no "I'll clean that up later." Writing and linking happen exclusively through MCP — from your agent. The dashboard shows you the graph; it has no edit buttons.
That gets you three things:
Runs in Docker Compose on your own hardware. Apache-2.0 licensed.
Traditional wikis are built for human readers: free-form prose, hand-curated links, a tree of pages that rots the moment you stop grooming it. Put an LLM in front of one and the first thing the LLM does is ask you to summarise it.
plexus reverses the audience. The LLM is the reader and the writer. Each page is a typed record instead of a paragraph, each link is a named relation instead of a hyperlink, and each edit is an atomic MCP call instead of a markdown diff. The UI shows you the same graph your agent sees — but your agent does the curation.
This is the same pattern Andrej Karpathy sketched in his "The LLM wiki" gist (April 2026, 5000+ stars): instead of stateless RAG against raw documents on every query, an LLM compiles knowledge into a structured, cross-referenced wiki once and keeps it up to date. plexus is that pattern on infrastructure:
| Karpathy's LLM wiki | plexus |
|---|---|
| Raw sources (unchanging) | External documents the agent reads with web_fetch, file I/O, … |
| Wiki (typed markdown, curated) | Typed entities + named edges in a graph the agent writes via MCP |
Schema (conventions in CLAUDE.md / AGENTS.md) | list_kinds + list_relations registries, enforced at the MCP boundary |
| ingest → compile → reflect → query → lint | search_entities → save_entity / update_entity → link_entities → get_related → lint_graph |
Karpathy calls the gist an "idea file" — a vendor-neutral prompt pattern. plexus gives it a production backend: typed storage, optimistic locking, temporal edges, multi-user auth, audit log.
What that buys you:
project containers, audit log.Understand it
Run it
**