Codebase Context gives AI agents understanding of your codebase through semantic code search, team conventions, patterns, and memory, so they use fewer tokens, spend less time, and produce better, more familiar output.

Project memory for coding agents: team-shareable engineering experience assets with Milvus semantic retrieval.

Give every AI agent persistent memory of your team's knowledge. No vector DB, no RAG — just Git + BM25 + 114 tokens per session.

Git-native shared AI memory for teams. Your team's knowledge, conventions, and decisions — automatically loaded into Claude Code, Cursor, and Copilot.

Open-source team memory layer for AI coding agents — markdown files in git, user→team→org hierarchy, cross-vendor MCP server. Apache-2.0.

The memory layer for your team. Mneme auto-extracts decisions, questions, and action items from AI chats — and pings you when they go stale