Local-first memory layer for AI coding agents. Captures issues, attempts, decisions, and cross-project library gotchas — your AI starts experienced, not amnesiac. Native MCP server verified across Claude Desktop, Cursor, Antigravity, and Codex. 100% local · no cloud · no telemetry · MIT.
EngramX — the cached context spine for AI coding agents. 9 built-in providers + any MCP server as a 10-line plugin, pre-mortem mistake-guard, bi-temporal memory, Anthropic Auto-Memory bridge, SSE streaming packets, dual-emit AGENTS.md+CLAUDE.md. 89.1% measured real-world token savings, local SQLite, zero cloud.
One local gateway for all your MCP servers, set up once and shared by every AI client (Claude, Cursor, VS Code, Codex). Lazy discovery collapses them to 3 meta-tools the agent searches on demand, ~90% fewer tokens. Keys in your OS keychain, no cloud.
Memory layer for coding agents: search, MCP recall, auto-context, secret redaction, stats, share and sync over the session logs Claude Code, Codex and opencode already write. One zero-dep binary.
