polyxmedia/mnemos

Mnemos is a nascent project (0 days old, 1 star) targeting the rapidly evolving Model Context Protocol (MCP) ecosystem. While the 'zero-dependency Go binary' approach offers excellent developer experience and portability for local agent setups, the project currently lacks any significant moat. The concept of a memory/skill store for agents is a 'day one' use case for MCP, and Anthropic has already provided reference implementations for SQLite-based memory. Competitively, this project faces extreme pressure from both frontier labs (Anthropic's own MCP tools) and established AI coding environments like Cursor or Windsurf, which are building proprietary, deeply integrated memory layers. Without a unique algorithmic approach to memory retrieval or a massive library of pre-defined 'skills,' it remains a utility that could be easily displaced by a platform-native feature or a more popular community-driven MCP server within the next 6 months. The high platform domination risk reflects the fact that context management is a core value proposition for agentic IDEs.