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  1. Home
  2. 🧠 Knowledge & Memory
  3. Quipu
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Quipu

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Local knowledge graph memory for agents. SHACL rules refuse bad facts; SPARQL and time travel.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON â–¾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for Quipu, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Documentation Overview

Quipu logo — knotted strings forming a knowledge graph

quipu

🪢 A memory for your agents that refuses facts that break your rules

License: MIT CI Part of the caboodle stack DOI

Quipu is a knowledge graph for AI coding agents and the people who run them. It stores what your agents learn as facts, checks every write against rules you declare (SHACL shapes), and refuses the facts that break them, so bad knowledge never gets in. It keeps every version of every fact, so you can ask what was true last Tuesday, and it answers standard SPARQL 1.1. It comes as a command-line tool, a REST server, and a Rust library, and agents reach it through bobbin's MCP server.

A quipu is the Andean knotted-cord record: cords are entities, knots are facts.

Why you would want it

  • Bad facts are refused, not cleaned up later. A write that breaks a shape fails with the rule it broke, so an agent can correct it on the spot.
  • Nothing is overwritten. Every fact carries when it was recorded and when it was true, so you can query the graph as it was at any moment.
  • Standard, and measured. It passes all Working Group–approved W3C SPARQL 1.1 Query, Update, Protocol and Results tests, scored alongside other stores in the conformance report.

The long form (sharing between stores, the feature list, the architecture and a comparison): Why Quipu.

Install

Linux x86_64: download the checksummed release.

bash
V=0.8.1
curl -fsSLO "https://github.com/scbrown/quipu/releases/download/quipu-ai-v$V/quipu-quipu-ai-v$V-x86_64-unknown-linux-gnu.tar.gz"
curl -fsSLO "https://github.com/scbrown/quipu/releases/download/quipu-ai-v$V/quipu-quipu-ai-v$V-x86_64-unknown-linux-gnu.tar.gz.sha256"
sha256sum -c "quipu-quipu-ai-v$V-x86_64-unknown-linux-gnu.tar.gz.sha256"
tar -xzf "quipu-quipu-ai-v$V-x86_64-unknown-linux-gnu.tar.gz"
mkdir -p ~/.local/bin
install -m 755 "quipu-quipu-ai-v$V-x86_64-unknown-linux-gnu/quipu" \
  "quipu-quipu-ai-v$V-x86_64-unknown-linux-gnu/quipu-server" ~/.local/bin/

Anywhere else, build from source (needs a Rust toolchain):

bash
cargo install quipu-ai --locked --features full

The crate is quipu-ai; it installs quipu and quipu-server, plus two test utilities (quipu-shacl-conformance, seed-fixtures) you can ignore. Check it:

bash
quipu --version
text
quipu 0.8.1

If that prints an older version, another copy is earlier on your PATH: which -a quipu.

First success in three commands

Write a rule (every Person needs a name), two people who follow it, and one who does not:

bash
mkdir quipu-demo && cd quipu-demo
printf '@prefix sh: <http://www.w3.org/ns/shacl#> .\n@prefix ex: <http://example.org/> .\nex:PersonShape a sh:NodeShape ; sh:targetClass ex:Person ;\n  sh:property [ sh:path ex:name ; sh:minCount 1 ] .\n' > shapes.ttl
printf '@prefix ex: <http://example.org/> .\nex:alice a ex:Person ; ex:name "Alice" ; ex:knows ex:bob .\nex:bob   a ex:Person ; ex:name "Bob" .\n' > people.ttl
printf '@prefix ex: <http://example.org/> .\nex:carol a ex:Person .\n' > carol.ttl

Then load the good facts, ask a question, and try the bad one:

bash
quipu knot people.ttl --shapes shapes.ttl --db demo.db
quipu read 'SELECT ?who ?name WHERE { ?who <http://example.org/name> ?name }' --db demo.db
quipu knot carol.ttl --shapes shapes.ttl --db demo.db
text
SHACL validation passed
knotted 5 facts from people.ttl (tx 1)
who	name
----------------------------------------
http://example.org/alice	"Alice"
http://example.org/bob	"Bob"

2 results
SHACL validation failed: 1 violation(s)
  Violation on http://example.org/carol: MinCount(1) not satisfied

The last command exits 1 and writes nothing: Carol breaks the rule, so she never enters the graph. That refusal at write time, with the reason attached, is what Quipu is for.

On your own data

you want torun
load Turtle, checked against your shapesquipu knot <file.ttl> --shapes <shapes.ttl>
ask a SPARQL questionquipu read '<sparql>'
see the graph as it was on a datequipu read '<sparql>' --valid-at 2026-09-01
see what depends on an entityquipu impact <entity-IRI>
keep shapes in the store, so every write is checkedquipu shapes load <name> <shapes.ttl>
explore it in a browser, or over HTTPquipu-server --db <file> --bind 127.0.0.1:3030

Every command and flag: CLI reference. The HTTP endpoints: REST API.

Wire it into your agent

Agents can connect directly: quipu-server serves streamable HTTP at /mcp, and quipu mcp --db store.db provides stdio using the companion server binary. Build both with cargo build --release --features full. Protected stdio writes use --mcp-token-file /path/to/private-token; HTTP writes use the existing bearer policy. Quipu defines 46 MCP tools (48 with owl), from one shared schema manifest. Bobbin's knowledge_* tools and existing REST-backed proxies remain compatible. See the connection and authentication guide.

Terminal
claude mcp add quipu -- /absolute/path/to/quipu mcp --db /absolute/path/to/store.db

No binaries? Quipu is in the MCP Registry, so VS Code's @mcp Extensions search (and other registry-aware clients) can install it in one click. That runs the published image, which needs Docker and nothing else:

Terminal
docker run -i --rm -v quipu-data:/data ghcr.io/scbrown/quipu:latest

The graph lives at /data/quipu.db in the quipu-data volume, so it survives restarts and starts empty. Change the volume name in your client's MCP config to keep one graph per project.

  • MCP Registry name: mcp-name: io.github.scbrown/quipu

Setup and every tool: bobbin's Quipu integration guide and Quipu's MCP tools reference. Any other client can use the REST API directly.

Before you start

Platforms. The release is built for Linux x86_64. On macOS and anywhere else, build from source; it needs a Rust toolchain and nothing else.

What each build includes. quipu needs the shacl feature and quipu-server needs shacl, onnx and server. --features full, as in the source install above, turns on all of them. The feature list: Installation.

What's next

  • The Quipu book: concepts, tutorials and reference, in reading order
  • Docs map: every design note and document in this repository, routed
  • Quick Start: the library, the REST server and the reasoner, step by step

🧺 The stack

Caboodle installs these together and proves each one works; every tool also stands alone.

toolwhat it gives your agents
caboodleone wizard that installs the stack and proves it works
quipu (you are here)a knowledge graph that refuses facts that break its rules
camayocthe starter vocabulary, and how new knowledge earns its way in
bobbinsearch and context over your repositories, served over MCP
yupanawhich code calls which: the blast radius before an edit
desire-paththe tool calls your agents get wrong, so you can fix them

Contributing

bash
just build
just test
just check   # every quality check (the pre-push gate)

See RELEASING.md for how a release is cut.

📜 License

MIT

Read the full README →View source on GitHub →

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Reviews

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Frequently Asked Questions about Quipu

We don't have a confirmed install command for Quipu yet, so we don't publish a generated one — a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/scbrown/quipu) for the current steps.

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Category🧠Knowledge & Memory
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Last updatedSep 28, 2026
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Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
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