Enables routing and delivering work to the correct coding-agent session across multiple harnesses, with shared memory, inboxes, and event tracking for humans and agents.
Enables coding agents to keep project state, evidence, and decisions bound to the repository, and to resume work across sessions and hosts by receiving a bounded, revalidated context packet instead of a full transcript. It also lets agents record checkpoints, handoffs, and closeouts while keeping deterministic decision and routing authority in code.
Provides a shared context layer for AI agent teams to improve token efficiency through context deduplication and incremental state sharing. It enables multiple agents to coordinate tasks, share real-time discoveries, and manage dependencies while significantly reducing redundant data transmission.
Provides a unified context layer for AI agents, enabling ranked search, file management, context bundles, database queries, and connected source access through MCP, all scoped to organizational permissions with citations.
Enables AI agents to maintain persistent context across sessions, restarts, and handoffs through a mailbox-based context sync protocol, compatible with any MCP-aware client.