CoreMem – Portable context for AI agents
Portable context via MCP and share links beats copy-pasting project specs into every new chat.
Your self, in every light - a local-first MCP self model for AI agents
Append-only event log with human approval gates for agent memory writes.
Privacy-conscious AI users, agent developers
Mem0 · LangGraph Memory
Portable context via MCP and share links beats copy-pasting project specs into every new chat.
Team-wide memory pool for agents when most tools stay siloed on one workstation.
Cross-project memory for coding agents, but MCP ecosystem is nascent and fragmentation risk high.
WordPress for MCP servers, but the agent-as-builder vision feels premature.
It stitches Slack threads, PRs, tickets and docs into a local "context lake" and can point a mention like handlePayment() straight to the file and related PRs — very practical for debugging and postmortems. The use of SQLite FTS5 for local full-text search plus MCP for a unified context layer is a smart, pragmatic combo; success will hinge on connector reliability and search/ranking quality, not the README.
Local model gathers context so frontier models don't burn cash on mechanical search loops.