statewright/statewright
State machine guardrails for AI agents
Repository profile
The automation engine built for AI agents. Workflows, memory, and 100+ integrations — one API key.
Repository updates
Get generated Agentled/mcp-server development summaries by email, or follow the weekly and monthly RSS feeds.
Sign in to subscribe by email. RSS feeds are public.
Sign in to subscribeTracked growth, recent movement, and commit velocity from stored repository snapshots.
Latest capture 2026-07-01 03:10
7 captures since 2026-05-22
Stars from baseline 0
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-01 03:10
Searchable topics, generated tags, and stack labels that explain where this repository fits.
Agent instructions and tool configuration paths found in the repository tree.
AI agent config detected
Key config paths
Nearest indexed repositories by embedding similarity.
State machine guardrails for AI agents
How real engineers run Claude Code and Codex: spec-driven planning, enforced TDD, persistent memory, and quality enforcement on all levels. Make your agents production-ready.
MCP server for external memory layer for AI agents + more . Download from pypi , and get started
Teams-first Multi-agent orchestration for Claude Code
The harness layer for Claude Code — a reference implementation of harness engineering with hook-enforced dual review, state-machine gates that survive context compaction, and fail-closed safety where it counts. Quality gates that AI can't skip.
No description.