Provides coding agents with a durable, revision-aware project workspace for semantic context, governed source changes, verification, task checkpoints, and observability through an MCP interface.
Provides a shared, persistent workspace with versioned files, semantic search, run logging, and cross-agent provenance, allowing agents to maintain context across sessions and tools.
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.
A durable MCP control plane for starting, observing, steering, continuing, cancelling, and handing off long-running coding agents, with bounded MCP calls and persistent worktrees.
Provides a secure, constrained filesystem workspace for LLM agents to manage files, notes, and code artifacts via stdio or remote HTTP. It features granular access controls, including extension whitelisting, storage quotas, and immutable paths for safe automated file operations.