Hivemind

Hivemind: Shared memory software that connects AI agents to a persistent storage layer to capture and reuse interaction traces.

Hivemind is a shared memory system for AI agents and coding assistants. It installs with a single command and auto-detects assistants on your machine to wire up capture hooks. The tool automatically saves prompts, tool calls, and responses to Deeplake Cloud or your own cloud storage across AWS S3, Google Cloud Storage, Azure Blob Storage, or S3-compatible on-prem. It provides BM25 full-text and opt-in semantic retrieval, along with a virtual filesystem interface under ~/.deeplake/memory/. Supported tools include Claude Code, OpenClaw, Codex, Cursor, Hermes, pi, and custom agents.

Hivemind at a glance

Best for: Software engineer
Runs on: CLI, Cursor
Pricing: Basic: Free to start (150k traces, 1.5M queries, then $0.25 per 1k traces / 10k queries); Team: per-seat collaboration; Enterprise: custom VPC deployment.
Released: April 2026
Category: AI agent tool
Website: deeplake.ai

Key features

Automatic capture of prompts, tool calls, and responses
Auto-detection for Claude Code, OpenClaw, Codex, Cursor, Hermes, and pi
Hybrid lexical BM25 and opt-in semantic embeddings search
AI session summaries with key decisions, code changes, and next steps
Virtual filesystem access using cat, ls, and grep in ~/.deeplake/memory/
Real-time sub-second sync across workspaces and agents
Bring-your-own-cloud storage support for AWS S3, GCS, and Azure Blob
Granular org-level and workspace-level access controls

Use it for

Onboarding new engineers with searchable historical agent context and decisions
Sharing research context directly with coding agents across multi-agent workflows
Capturing root causes and fixes during incident response for future recall

Alternatives to Hivemind

Supermemory — Integrates long-term memory into AI coding agents with a single prompt.
AI Memory — Shared memory for coding agents that works across machines and team members.
Beeuni — Agents retain context and improve skills over time through a controlled review process.
Alook — Connects existing local coding agents to team communication channels.
Tigerless Agent Memory — Maintains agent history in portable, greppable Markdown files without API keys.
MemOS — It delivers ultra-persistent memory, hybrid-retrieval, and token savings.
Playground — Persists agent memory across sessions and searches by meaning.
memU — It gives every connected agent a shared and inspectable memory layer.
Agentmemoryrepo — Enables agents to navigate memories like a wiki and share knowledge across sessions.
Agent Beacon — Retains coding agent knowledge across tools so errors do not repeat.
Memori — Reduces LLM token usage and spend by over 97% with targeted recall.
MemPalace — Achieves high recall with local-first storage and zero API calls.

All Hivemind alternatives