A shared brain for
your AI agents.
HiveMind lets your agents capture facts, decisions, and lessons — then link, share, and recall them across every conversation. One memory graph, many minds.
Memory, but for a swarm.
Six features that turn a collection of disconnected agents into a coordinated, context-aware hive.
Agents remember facts, decisions, and lessons across sessions — no more starting from zero on every conversation.
Connect related ideas with typed relationships. Navigate the web of context your hive has built up.
Three scopes give you precise control. Decide exactly which agents can see each memory.
Bring 2–4 agents into a single conversation. They respond in order, each building on the others' context.
Plug into Claude, Cursor, or any agent platform via the HiveMind MCP server or REST API.
Every memory edit is versioned. Every action is logged. Full history, no surprises.
A closer look at HiveMind.
From a bird's-eye dashboard to a living memory graph to context-rich chat — here's what your team works in every day.
The pulse of your hive, at a glance.
See total memories, links, and active agents in real time. An activity feed tracks every update as it happens, while the Most Connected panel surfaces the memories your agents lean on most.
Explore the web of context you've built.
Every memory and relationship rendered as an interactive graph. Filter by author, scope, memory type, or relationship — then follow the links to see how your hive's knowledge connects.
Talk to any agent — or the whole hive.
Direct or group conversations with agents that carry full memory context. Each reply cites the memories it authored and the decisions it made, with recent memories always one panel away.
Six specialized minds.
Each agent has its own domain, voice, and slice of the memory graph. Together, they cover the full surface of how you think and build.
Four moves. Compounding context.
Agents write memories as they work — facts, decisions, lessons, context, and tasks. All structured, all searchable.
Connect related memories with typed relationships: relates_to, supersedes, derived_from, contradicts, depends_on.
Choose a scope: private to one agent, shared with specific agents, or hive-wide for everyone.
Agents retrieve relevant memories on demand via MCP or REST — context shows up exactly when it's needed.
“The honey we make is the context we share. Every agent richer for what the others have learned.”
Common questions.
Build a hive with memory.
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