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.

• Updated May 11, 2026
• TypeScript

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

• Updated Jun 12, 2026
• Python

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

• Updated Apr 8, 2026
• TypeScript

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

• Updated Jun 11, 2026
• JavaScript

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

• Updated Jun 2, 2026
• TypeScript

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

• Updated Jun 8, 2026
• TypeScript

AI-native operating system for persistent team memory, roadmaps, brand, and product ops

• Updated Mar 26, 2026
• Shell

Turn your team's AI coding sessions, GitHub code, and docs into one shared, searchable memory — a self-hosted git truth store you query right from your editor over MCP.

• Updated Jun 12, 2026
• JavaScript