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Mumei (無銘) GitHub

日本語版はこちら

Verify existing code and specifications with formal methods — before you write .mm.

Mumei is a formal verification toolchain that starts from existing code, natural-language requirements, or .mm modules. It uses Z3, proof certificates, and AI-agent workflows to find bugs, spec drift, and contradictions, then helps move critical logic into checked .mm code.

Technical Paper — proof-driven programming architecture, autonomous verification loop, and case studies.

Verified Local Agents: When AI Code Generation Meets Formal Proof — a high-level overview of the Mumei Forge, Z3/Lean pipeline, and case studies (Medium).

existing code / natural language spec → MCP or mumei-agent → Z3-backed diagnostics → optional .mm migration → LLVM / proof artifacts

Release and Homebrew artifacts include per-module proof certificates and the aggregate proof bundle. Consumers can re-verify packaged sources with mumei verify-cert <certificate> <source.mm> --strict.

No-.mm front door and roadmap

Run uv run mumei-agent audit --code-file ... --auto-migrate --auto-heal, or MCP scan_and_fix, before asking users to author .mm files. See docs/CROSS_PROJECT_ROADMAP.md, docs/ROADMAP.md, and docs/ONBOARDING.md for the contract, vocabulary, V1-A〜E order, Lean escalation, and PR evidence.

Recent standard-library and mumei-lean sync points are tracked in the Standard Library Reference.

Start without writing .mm (mumei-agent)

mumei-agent verifies existing code and specifications before migration. See docs/ONBOARDING.md and the Verification Workflow Guide.

Install

git clone https://github.com/mumei-lang/mumei-agent
cd mumei-agent
cp .env.example .env  # Set LLM_BASE_URL / LLM_API_KEY / LLM_MODEL
uv sync
# After this, run commands as uv run mumei-agent <subcommand>

Three use cases

1. Find likely bugs in existing code

uv run mumei-agent validate-code --input src/payment.py

2. Detect spec↔code drift

uv run mumei-agent validate-spec-to-code --spec docs/spec.txt --code src/payment.py

3. Find contradictions in specs only

uv run mumei-agent validate-spec --input docs/spec.txt --format nl

Gradual migration path

  1. Step 0: Audit existing assets without .mm: uv run mumei-agent audit --code-file src/payment.py --auto-migrate --auto-heal
  2. Step 1: Write a critical contract and verify it: mumei verify specs/payment.mm
  3. Step 2: Implement new logic in .mm and emit artifacts: mumei build src/main.mm -o dist/output

MCP clients use scan_and_fix for the same audit → migrate-suggest → heal route. The cross-spec artifact vocabulary and migration guidance are in docs/CROSS_SPEC_GUIDE.md.

P9 NLAE Integration

Mumei is Module B (AR) in the four-repository NLAE pipeline: it reconstructs contracts into Z3 obligations and returns a Loss Vector for self-correction and Lean fidelity checking.

mumei-agent → generated .mm → mumei → Loss Vector JSON → self-correct → mumei-lean → mumei-demo

See docs/CROSS_PROJECT_ROADMAP.md § P9 for phase status, artifacts, feedback fields, and E2E workflow.

Distributed Tracing (OpenTelemetry)

With cargo build --features otel and OTEL_ENABLED=true, mumei verify exports OTLP spans and propagates TRACEPARENT across the mumei-agent → Rust → Z3 path. The feature is zero-cost when disabled and degrades gracefully without a collector. Details and CI coverage: docs/ROADMAP.md § P15 and .github/workflows/otel-tracing.yml.

Install

curl -fsSL https://mumei-lang.github.io/mumei/install.sh | bash
brew install mumei-lang/mumei/mumei
curl -fsSL https://mumei-lang.github.io/mumei/install.sh | bash -s -- --version v0.6.18

See Releases for older versions. No Rust toolchain is required; OS/arch is detected automatically.

Build from source
brew install llvm@17 z3                 # macOS
sudo apt-get install -y libz3-dev llvm-17-dev libclang-17-dev  # Linux
cargo build --release
cargo install --path .
mumei setup && source ~/.mumei/env

Tooling reference

The complete CLI command table is in docs/TOOLCHAIN.md, MCP tools and setup are in docs/MCP.md, and the full project structure is in docs/ARCHITECTURE.md.

Documentation

Document Content
Verification Workflow Guide Natural-language spec validation, existing-code verification, spec↔code alignment, and human-friendly operation guide
MCP Integration MCP tools, setup, and multi-agent collaboration
Language Reference Types, generics, traits, ownership, async
Features Feature matrix formerly summarized in this README
Standard Library Option, Result, List, BoundedArray, sort
Examples & Tests Verification suite, .mm code samples, and negative tests
Architecture Compiler internals and repository structure
Report Schema report.json, semantic feedback, and rich diagnostics JSON
Cross-Spec Verification System-wide contract consistency, invariants, and dependency cycles
Toolchain CLI commands, package management, CI/release
Onboarding Guide Gradual path from existing code and natural language to .mm
LSP Integration Editor CodeLens, intent drift, spec-code mapping, and mumei-agent spec/code diagnostics
LSP Diagnostic Data Cross-editor diagnostic and CodeLens data contract
MCP Tool Contract Canonical mumei-forge and mumei-agent tool signatures
Roadmap Strategic roadmap
Capability Security Effect-based capability security evaluation
Changelog Release history
Diagnostics Multi-span diagnostics, compound constraint decomposition
Meta-Architect Contract conflict analysis and interface refactoring tools
Plugin Guide Emitter plugin development
Proof Certificate Proof certificate schema and usage
Spec Guide Spec-writing guidelines for Z3-decidable fragments
FFI Foreign function interface (Rust/C)
Concurrency Async/await and deadlock-free resource hierarchy
Editors VS Code and LSP editor integration
Patterns Design patterns and idioms
Trusted Atoms trusted/unverified atom usage
Structured Feedback Schema P9-E structured feedback JSON schema
Cross-Project Roadmap mumei + mumei-agent ecosystem roadmap
Claude Code Quickstart Quickstart guide for Claude Code users

License

Apache-2.0 license

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