The Problem
AI agents are stateless by default. Every conversation starts from zero unless you explicitly feed context back in. Letta solves this with archival memory, but what about searching past conversations? What if your agent needs to recall a specific decision from three weeks ago?
The Solution
sanctumos/origin_conversation is an MCP server that exposes a conversation_search tool. It supports both STDIO and SSE transports, so it works with Cursor, Letta, or any MCP-compatible client. The documentation includes integration paths for Sanctum's production agents.
What Shipped
- Dual transport: STDIO for local clients, SSE for networked ones.
- Full audit fix pass: 20 issues identified and resolved in a single commit, plus a comprehensive test suite.
- Version 0.1.1 with proper AGPL-3.0 and CC BY-SA 4.0 licensing.
This is the first SanctumOS component that's purely about agent cognition — not messaging, not UI, not infrastructure, but the ability for an agent to remember and retrieve its own history.