activeloopai/hivemind
原文摘要
One brain for all your agents Hivemind One brain for all your agents Auto-learning, cloud-backed shared brain for Claude Code • OpenClaw • Codex • Cursor • Hermes • pi agents. One engineer's agent figures out a tricky migration on Monday. Tuesday, every agent on the team can execute the pattern. On LoCoMo , the public long-context memory benchmark, Hivemind is 25% cheaper, 1.7× fewer tokens, and 31% fewer turns than running without shared memory. ( See the numbers below. ) Beyond memory. Hivemind doesn't just remember. It mines your team's traces for repeated patterns and codifies them into reusable skills that propagate back into every agent on the team. The agent your junior engineer used this morning is sharper because of what your senior engineer's agent figured out last week. 📥 Captures every session's prompts, tool calls, and responses as structured traces in Deeplake 🧠 Codifies patterns into reusable SKILL.md files, available to every agent on your team 🔍 Searches traces and skills with hybrid lexical + semantic retrieval (BM25 fallback when embeddings off) 🔗 Propagates capability across sessions, agents, teammates, and machines in real time 📁 Intercepts file operations…