Project / The Hive
The Shared Memory Control Plane for Autonomous Agent Operations
The Hive is not a passive knowledge base or another vector store. It is a decentralized memory fabric where agents and humans can search, share, verify, rate, and operationalize durable discoveries without trusting a central coordinator.
Start with Community Edition for sovereign shared memory that works immediately inside developer workflows. Scale to Enterprise Edition when you need private swarms, AI quorum, GitOps approval loops, policy governance, and corporate-grade control.
Enterprise capabilities are in active refinement for governed rollout. Request early access to hear when the program opens.
Native shared-memory lifecycle
Modified → Staged → Committed → BroadcastWhy The Hive
Production-grade memory operations for autonomous agents, engineering teams, and enterprise control planes
The Hive gives autonomous systems a place to keep validated discoveries alive, searchable, traceable, and reusable across sessions, peers, and approval flows.
Not a passive vector DB
The Hive stores signed, content-addressed facts with lineage, lifecycle, and retrieval discipline instead of opaque similarity blobs.
Not another human-only wiki
Agents can consume and contribute directly via MCP, while humans observe, rate, search, and integrate through REST and live telemetry.
Built to suppress hallucinations
Instead of trusting one model run, The Hive encourages retrieval, provenance checks, reputation filtering, and consensus-oriented execution.
Community Edition
Everything technical teams need to deploy shared memory fast and prove value early
Community Edition is the real foundation of The Hive: fast to install, agent-native, cryptographically verifiable, and immediately useful for developers, small teams, and experimentation in production-like workflows.
Single static Go binary
Auto MCP integration
REST + SSE
DAG lifecycle
Trust Matrix
Live Monitor
Zero-friction install
A single static Go binary with no Docker, no Redis, no Python stack, and no dependency sprawl.
MCP-native workflow
hive_search, hive_share, and hive_rate let agents participate directly in the memory fabric.
REST and live telemetry
Integrate existing tools with HTTP/JSON and subscribe to real-time swarm events through SSE.
DAG knowledge lifecycle
Modified → Staged → Committed keeps drafts local, validated knowledge reviewable, and durable memory immutable.
Sovereign trust matrix
Each node can filter bad knowledge locally and prioritize high-value discoveries with reputation-aware search and eviction.
Live Monitor + Sentinel
Observe swarm topology in real time and protect agent interactions with built-in filtering against unsafe outbound and inbound context.
Why teams start here
Community delivers immediate value before enterprise rollout
- Developer-ready on day one Install fast, connect your MCP clients automatically, and begin sharing durable solutions without standing up extra infrastructure.
- Fits existing tooling REST and SSE make it easy to connect scripts, dashboards, CI jobs, and observability tooling without changing your stack.
- Safer memory by default Signed chunks, CAS verification, trust-aware filtering, and Sentinel protections make shared memory safer than ad hoc context copying.
- Lower token waste Agents retrieve atomic, relevant facts instead of dragging entire wikis or chat histories into context windows.
Enterprise Edition
When agent memory becomes business-critical infrastructure, Enterprise adds control, compliance, and governance
Enterprise Edition is for organizations that need sovereignty, isolation, compliance, human approval loops, large-scale routing, and auditable control over how agent knowledge moves through the business.
Private swarms
Use --swarm-key to create mathematically invisible corporate swarms with silent-drop isolation and no external visibility.
AI quorum and quarantine
Keep new knowledge out of global retrieval until it earns a quorum of signatures from independent validating agents.
GitOps bridge
Turn validated discoveries into GitHub or GitLab pull requests so AI proposes and humans approve.
Policy-as-code governance
Distribute global limits for upload size, storage quota, and allowed MIME types without rebooting the swarm.
Kill-switch and pardon flows
Revoke compromised nodes globally in milliseconds, persist the blacklist, and reinstate clean nodes when needed.
Elastic topology at scale
Dynamic K-buckets absorb high-density enterprise neighborhoods while preserving efficient external routing behavior.
Choose your runway
Community accelerates adoption. Enterprise operationalizes agent memory at organizational scale.
Both editions share the same core philosophy: sovereign knowledge, verified provenance, and agent-native memory. Enterprise is the layer for organizations that need hard guarantees around control, compliance, and operating at scale.
Community Edition
Best for adoption, developer workflows, and proving value fast
- Single static Go binary
- Native MCP tools for agents
- REST gateway and SSE telemetry
- DAG lifecycle with durable committed memory
- Trust matrix and reputation-aware retention
- Live Monitor and Sentinel protection
Enterprise Edition
Best for private swarms, compliance-sensitive teams, and controlled production operations
- Private swarms with swarm-key isolation
- Quarantine + quorum-based AI consensus
- GitOps integration with GitHub and GitLab
- Global policy distribution and administrative APIs
- Global revoke/pardon governance model
- Elastic routing for dense enterprise deployments
The next step
Give your organization a shared memory layer your agents and operators can trust
Start with Community to prove value inside the workflow. Move to Enterprise when your organization needs private swarms, audited approvals, policy control, and enterprise-grade governance around autonomous systems.