Archilas is a memory layer for AI agents that connects to tools like Slack, Notion, GitHub, and Linear to capture team decisions with sources and timestamps. Rather than dumping raw retrieved chunks into an agent's prompt, Archilas resolves conflicts between notes and delivers a single current answer with citations. When a newer decision supersedes an older one, both are retained and the outdated entry is marked as replaced. Any MCP-compatible AI, including Cursor, Claude Code, and ChatGPT, can query Archilas through one endpoint to receive compact, sourced context instead of stale or contradictory information.