Memory Hive
Give agents private silos, a curated hive, cited recall, and one simple CLI — so multi-agent stacks keep continuity with provenance.
Local-first memory for AI agents
Agent silos
Private workspaces per agent with controlled promotion into the curated hive — continuity without dumping everything into one opaque store.
Cited recall
Pull context back with source references. HyperRecall-style bundles hydrate agents with auditable memory, not mystery blobs.
Operator-grade CLI
log, learn, recall, guide — built for people running Cursor / Hermes / swarm stacks, not demo chatbots.
Problem
Multi-agent stacks forget. Context dies between sessions, silos collide, and “memory” turns into mystery blobs nobody can cite.
Approach
Memory Hive is a local-first shared memory layer: private agent silos, a curated hive, cited recall, and one simple CLI. Useful context becomes durable hive memory — with provenance.
Outcomes
- Agents keep continuity without dumping everything into a single opaque vector store
- Operators can inspect and promote what becomes shared truth
- Works alongside Cursor / Hermes / swarm workflows as infrastructure, not a chat toy
Highlights