Give all your AI agents shared context, memory, and coordinated reasoning.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "hivemind" yet — see the docs or source repo.
Create a shared brain for my AI agents: a product agent for requirements, a developer agent for technical planning, and a QA agent for risk checks. Organize the following project background into shared context, key goals, constraints, and open questions, then produce a memory summary all agents can use.
A shared project memory summary with goals, constraints, agent roles, and open questions.
Using shared memory, split this task across multiple agents: first a research agent gathers information, then a writing agent drafts, and finally an editing agent checks consistency. Provide the task sequence, each agent’s inputs and outputs, and how they pass state through the shared brain.
A clear multi-agent workflow showing steps, responsibilities, handoff data, and shared state updates.
Several agents have produced research findings, implementation suggestions, and risk lists. Merge these results into one unified knowledge view, remove duplicates, mark conflicts, and generate a prioritized issue list for the next round of agent collaboration.
A consolidated shared knowledge summary with deduplicated results, conflict markers, and next priorities.
Share, search, and reuse knowledge across connected AI agents.
Give AI agents persistent memory across sessions with efficient on-demand context loading.
Give AI coding agents persistent cross-project memory and connected context retrieval.
Provide structured memory and intent capture for AI agents with lower token costs.
Manage directory-scoped memory for AI coding agents to cut token usage.
Provide coding agents with persistent encrypted memory, semantic search, and smart context injection.