AnaxiGraph 0.3.0

AnaxiGraph 0.3.0 turns the architecture index into a durable, autonomous semantic mapping system and adds evidence-backed coding-pattern intelligence.

Highlights

Semantic mapping that finishes

• Adds a durable host executor that keeps semantic work alive outside one coding-agent session.
• Recovers expired leases and stranded jobs, resumes an existing queue, and runs independent work in parallel.
• Keeps provider, model, and reasoning choices under caller control; no model name is built into module logic.
• Reuses unchanged semantic dossiers across executor, model, and package-version changes.

Architecture and pattern intelligence

• Builds and agent-reviews a semantic taxonomy without requiring a human approval step.
• Adds bounded graph operations and goal-specific architecture decisions for coding agents.
• Ships an extensible 128-pattern catalog spanning functions, modules, boundaries, workflows, reliability, data, concurrency, and subsystem architecture.
• Adds multi-level pattern evidence, autonomous pattern reviews, calibration, CLI queries, and dashboard exploration.

Findings people and agents can understand

• Rewrites built-in architecture findings to say what was observed, why it matters, what to do next, and when no change may be needed.
• Adds a versioned plain_language response shared by REST, MCP, and the dashboard while preserving exact machine evidence for tools and gates.
• Upgrades old stored finding copy when it is read, so an existing index becomes understandable without a destructive rebuild.
• Refactors the architecture rule evaluator below the repository's 500-line file ceiling and removes its accepted complexity debt.

Validation

• 466 Python tests and 15 browser contracts passed.
• 90.7% total coverage and 97.5% changed-code coverage.
• Verified on Python 3.11 and 3.12, Ubuntu and macOS package installs, hardened sidecar smoke tests, first-user performance, and multi-architecture container builds.

Full comparison: v0.2.0...v0.3.0