Skip to main content

hull — shared core for the wet / crg / mnemo self-hosted stack

CI CodeQL

Python License

hull is the shared monorepo core for the wet, crg and mnemo self-hosted stack.

It owns everything the three products share — token auth, per-task model configuration, per-user rate limiting, local SQLite storage, the HTTP MCP server lifecycle, web scraping/search infrastructure, and a local embedding daemon — for wet (search), crg (code graph) and mnemo (memory).

Install

hull ships as one PyPI dist, hull-core. The wheel carries all three import packages; the heavy stacks are opt-in extras:

pip install hull-core               # hull_core only (crg, mnemo)
pip install "hull-core[web]"        # + hull_web scraping/browser stack (wet)
pip install "hull-core[embedding]"  # + hull_embedding_daemon server stack
pip install "hull-core[mteb]"       # + pyarrow for model_selection MTEB fetchers
pip install "hull-core[embedding,embedding-gguf]"  # + llama.cpp runtime for *-GGUF models

import hull_web without the [web] extra raises ImportError naming the missing modules and the install command.

Packages

Source dir Import package Extra Purpose
packages/core-py hull_core (base; MTEB boards need [mteb]) Auth (3 modes), per-task model cells, limiter, ~/.hull/ SQLite WAL storage, server start + /mcp endpoint, CLI, SSRF-safe HTTP, lifecycle lock, model_selection leaderboard picker + runtime registry (refresh → eval-on-change → promote)
packages/embedding-daemon hull_embedding_daemon [embedding] Local ONNX/GGUF embedding server (FastAPI)
packages/web hull_web [web] Search (SearXNG), scraping strategies, stealth browsers, fingerprinting, HTTP/SSRF security

Runtime model

  • Python 3.13. Dev with uv, always-on with docker.
  • hull server start is the only way to run a server; MCP is an HTTP endpoint at http://host:port/mcp — never a spawned subprocess.
  • The CLI is the control plane + consumer. With the server down the CLI tells you to start it first; there is no hidden local-core mode.
  • Provider calls are plain OpenAI-spec HTTP (httpx). OpenRouter is the pre-wired default. Each task (embed, rerank, chat, jev_score) has its own base_url + api_key + model cell — change provider by editing config, never code.
  • Storage is local SQLite (WAL) under ~/.hull/. Backup/sync is rclone outside this repo.

Auth — one mechanism, three modes

Mode is a config state ([server] auth in ~/.hull/config.toml):

  1. no-auth — localhost-only bind enforced, one shared namespace.
  2. token — one shared token (token_hash in config), still one shared namespace.
  3. multi — users.toml maps uid → {token_hash, enabled, namespace, allowed_roots, limits}; one process serves N users, each isolated to their namespace. Admin is host-side only: edit users.toml, restart.

Token hashes are scrypt (hull token hash). Wrong token → 401; disabled user → 403; over-limit → 429.

Quick start

uv sync
uv run hull config init          # write ~/.hull/config.toml (OpenRouter defaults)
uv run hull token hash mysecret  # mint a token_hash for users.toml / config
uv run hull server start         # serves http://127.0.0.1:8000/mcp

Development

uv sync --all-extras
uv run pytest -q
uv run ruff check .
uv build

License

Apache-2.0

Metadata

Release files for hull-core 0.3.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for hull-core 0.3.0
File Size Uploaded
hull_core-0.3.0.tar.gz 501.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for hull-core 0.3.0
File Interpreter ABI Platform
hull_core-0.3.0-py3-none-any.whl Python 3 none any Details

Total release size: 656.8 kB

Release files / hull_core-0.3.0.tar.gz

Download URL hull_core-0.3.0.tar.gz
Size 501.1 kB
Tags Source
SHA-256 checksum
How to use checksums
a287df64ffe74c1142eb20cda41be90fb4fefbc4d277360153c29a26156eed9b
BLAKE2b-256 checksum
How to use checksums
5da2bd715e792adcf906e533b0806c85aa2f5235d06e87afa54dc3c06d0ab8a9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 6, 2026.

Transparency log

Release files / hull_core-0.3.0-py3-none-any.whl

Download URL hull_core-0.3.0-py3-none-any.whl
Size 155.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
d6d6ca6974777125dd22357315ac1813af93576314307689f1f902915bd082d9
BLAKE2b-256 checksum
How to use checksums
6c216637eb84b26571d709962c7a99ec39f61f8ef9fb88e4e60c311295419d68
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 6, 2026.

Transparency log
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page