shared-context
Self-hosted shared context, memory, coordination, and evidence for Claude Code, Codex, Kiro, OpenCode, and MCP agents.
The open specification for the shared context layer of AI-native teams
Shared context and memory coordination layer for swarms of parallel AI agents. Documented HTTP + WebSocket protocol, interoperable Python and Node CLIs, BM25 keyword memory search, built-in MCP server for agent tool calls.
MCP server for shared context caching — AI agents share computed results to reduce token cost and latency
