The governed operating system for AI agents in your IDE — verify, don't trust.
English — version française (complète)
Quick Start • Governed Standard • Architecture • Features • Full guide • Changelog
Why Grimoire Kit?
AI coding assistants run on trust: you hope the agent kept its guardrails, remembered the context, and produced evidence for what it claims. Grimoire Kit replaces that hope with verifiable governance:
- A governed agentic standard — 36 declarative patterns (security, memory, context,
observability, quality…) verified fail-closed by
grimoire standard verify/audit/score/gate check. If a required proof is missing, the gate fails. - Agent teams with personas and semantic memory — specialized agents, persistent memory across sessions, delivery contracts, quality automation.
- One config, every assistant —
grimoire initgenerates portable entrypoints (CLAUDE.md,AGENTS.md,GEMINI.md,.cursorrules) plus a.mcp.json, so the same project works with Copilot, Claude Code, Codex, Gemini CLI and Cursor. - Native on each host, not lowest-common-denominator — one host-neutral
description of the project is rendered per host: sub-agents with their own
context window and tool boundary, on-demand skills, slash commands, and
lifecycle hooks that actually refuse a destructive call, or the closure of a
task whose evidence gates are red. What a host cannot execute is reported as
an explicit degradation, never dropped in silence. See
grimoire host --helpand docs/hosts.md.
Quick Start
# Install (uv recommended)
uv tool install grimoire-kit
# Or with pipx
pipx install grimoire-kit
# One command: init + identity + governed standard + health check
grimoire up my-project --archetype web-app
# Existing project (idempotent — re-running only fills the gaps)
cd your-project/
grimoire up . --name "My Project"
# Detect and enroll existing projects on your machine
grimoire cockpit scan ~/dev
# Health check + repair (regenerates missing wrappers and .mcp.json)
grimoire doctor . --fix
# Local multi-project dashboard (background + browser)
grimoire cockpit
Step-by-step path (what grimoire up chains for you)
grimoire init . --name "My Project" # scaffold: context, agents, memory, entrypoints
grimoire setup # propagate identity into instructions
grimoire standard init . --needs ... # governed standard artifacts
grimoire doctor # health check
Multi-assistant —
grimoire initwrites portable assistant entrypoints pointing to a single canonical instruction file, and registers the Grimoire MCP server in.mcp.json(OS-neutral, viagrimoire-mcp). No per-assistant duplication.
The governed agentic standard
Declare what your project needs; Grimoire resolves a maturity profile
(starter → controlled → orchestrated → governed → production) and activates
governed patterns — 36 in the catalog. Each pattern scaffolds a declarative
artifact (_grimoire/standard/*.yaml) and a fail-closed check:
grimoire standard needs # needs grouped by tier, with footprint
grimoire standard plan --needs solo-prototyping # preview without writing anything
grimoire standard init . --needs solo-prototyping # minimal recommended start
grimoire standard init . --interactive # guided setup
grimoire standard verify # artifacts present + conform to the profile
grimoire standard audit # compliance report + remediation actions
grimoire standard score # multi-dimensional compliance score
grimoire standard gate check # CI gate: fails when required evidence is missing
Example controls: tool blast-radius limits, controller/agent privilege separation, prompt-injection firewall, decision council, memory integrity, LLM cost registry + reliability SLO, guardrail contracts (input/output/tool/model), visual evidence, workspace isolation, per-environment policies.
Reference: governed controls (36 patterns) · standard integration · install by needs
The project-discovery need scaffolds a guided five-phase product cadrage
(_grimoire/cadrage/: brief → brainstorm → understanding → requirements →
spec) and turns its completeness into a standard verify gate. Details:
docs/cadrage.md.
Architecture
Three layers, one wheel (pip install grimoire-kit):
| Layer | What it provides |
|---|---|
SDK Python (src/grimoire/) |
grimoire CLI (Typer), governed standard engine, memory manager with pluggable backends, MCP server, archetype registry |
Shell framework (framework/) |
108 standalone Python tools (agent lifecycle, quality, orchestration), lifecycle hooks, prompt templates |
Archetypes (archetypes/) |
Pre-configured agent packs: web-app, infra-ops, platform-engineering, creative-studio, fix-loop, minimal… |
Details in ARCHITECTURE.md.
Features
| Feature | Description |
|---|---|
| Team of Teams | Vision / Build / Ops agent teams with delivery contracts between them |
| Semantic memory | Qdrant vector search with JSON fallback; contradiction detection, consolidation, failure museum |
| Completion contract | cc-verify.sh detects the stack and verifies build + tests + lint before anything is called "done" |
| Local cockpit | Packaged local dashboard for all your Grimoire projects: portfolio, cost/trace observability, governed memory management (127.0.0.1 only) |
| Boomerang orchestration | The orchestrator decomposes, delegates to sub-agents in parallel, aggregates results |
| MCP server | 12 tools exposed to any MCP client — including the governed standard itself |
Experimental R&D features (session branching, agent darwinism, stigmergy, dream mode…) are documented separately in docs/rnd.md — functional and tested, but exploratory surface.
CLI, SDK and MCP
grimoire init | doctor | status | up | validate # project lifecycle
grimoire add <agent> | remove <agent> | registry # agents & archetypes
grimoire standard … # governed standard (see above)
grimoire cockpit … # local dashboard daemon
grimoire memory … # governed memory operations
from pathlib import Path
from grimoire.tools import PreflightCheck
report = PreflightCheck(Path(".")).run()
print(report.status) # GO / GO-WITH-WARNINGS / NO-GO
MCP server (grimoire-mcp, stdio) exposes 12 tools: project_context, status,
agent_list, config, harmony_check, memory_store, memory_search, add_agent,
standard_verify, standard_audit, standard_score, standard_gate — agents can
query and enforce the governed standard directly.
Quality
- 5 990+ tests (pytest), coverage gate ≥ 70 % (Codecov)
- mypy strict on the SDK, ruff lint + format
- CI matrix: Ubuntu / Windows / macOS × Python 3.12 / 3.13, CodeQL, dependency audit with governed, time-boxed waivers
- Releases: SBOM (CycloneDX), smoke tests, PyPI trusted publishing (OIDC)
Documentation
Getting started · Concepts · SDK guide · CLI reference · Cadrage · MCP integration · FAQ — full docs (French) on the documentation site.
Contributing & License
Contributions welcome — see CONTRIBUTING.md. MIT — see LICENSE.
Release files for grimoire-kit 3.54.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| grimoire_kit-3.54.0.tar.gz | 4.1 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| grimoire_kit-3.54.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.6 MB
Release files / grimoire_kit-3.54.0.tar.gz
| Download URL | grimoire_kit-3.54.0.tar.gz |
|---|---|
| Size | 4.1 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Yes |
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twine/7.0.0 CPython/3.13.14
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Provenance
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Transparency logRelease files / grimoire_kit-3.54.0-py3-none-any.whl
| Download URL | grimoire_kit-3.54.0-py3-none-any.whl |
|---|---|
| Size | 4.4 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| 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 Sep 17, 2026.
Transparency log