Enables AI agents to maintain project continuity through a file-based state hub with tasks, phases, and handoff snapshots. Provides MCP tools for reading and updating project state, with gatekeeping enforced via real-state evaluation and per-tool authorization.
Run dynamic, multi-agent workflow scripts — agent(), parallel(), pipeline() — over real coding agents (Claude Code and OpenAI Codex), with deterministic journaling, resume, token budgets, and git-worktree isolation.
Run provable, .slang-driven multi-agent workflows inside Claude Code. A deterministic executor enforces typed output contracts, tool scoping, and convergence, providing guarantees and auditability.
Deterministic execution engine for AI agents. 412 modules across 78 categories including browser automation, file I/O, Docker, data parsing, crypto, and scheduling. Supports
STDIO and Streamable HTTP transport with execution trace, evidence snapshots, and replay from any step.
