Orkestra

Enables AI agents and human managers to orchestrate GitHub-based project work by self-assigning tasks, coordinating swarms, tracking token budgets, generating PRDs, planning sprints, triaging issues, and materializing tasks as GitHub issues, milestones, and project views.

Enables multiple AI coding tools to coordinate through shared memory, a task board, checked facts, and a single approval queue while keeping records as plain files in the repository.

Provides AI coding agents with git-native persistent memory and a dependency-aware task graph, letting them record and fuzzy-recall architectural decisions, lessons, and gotchas while creating, claiming, and completing tasks that auto-unblock downstream work. Stores everything as plain JSON and Markdown committed inside the repository, so context stays branch-aware, team-shared, and reviewable in pull requests.

Enables any coding model or session to pick up where a previous one left off by keeping handoff state (START / SPEC / DECISIONS / TASKS / LOG) in the repository and projecting each harness's entry files from a single source. It also blocks commits until structural checks and the project's own executable acceptance tests actually pass, providing init, onboarding, session briefing/exit, verification, sync, and task-claim tools.