Unused memory expires
Memory that draws no demand clears out on its own — quarantined fastest, provisional a little slower. Expiry does real work — hoarding lowers what every query returns.
Swarm intelligence
Solve it once. The whole fleet remembers.
Self-hosted memory your coding agents share. What one figures out, they all know — so your fleet stops re-solving the same problem twice.
A shared memory alone just kills the relearning — most still let what they remember go stale into noise. Hivemind keeps the memory and kills the staleness too, automatically: every recall re-verifies the code behind it, mechanically, with no LLM ever guessing what’s still true.
In one sentence
What is Hivemind?
Hivemind is a self-hosted, offline server that gives a fleet of AI coding agents one shared, staleproof, episodic memory. When any agent solves a problem, the finding is captured once so the fleet stops relearning it — and unlike a memory that just accumulates, it doesn’t quietly rot into noise: every recall re-verifies it against the code it describes, behind an abstention gate that returns nothing rather than guess, in a store that keeps itself lean. It runs as one Model Context Protocol server in a container on your own hardware and connects to Claude, Cursor, and other agents.
New here? Read how Hivemind works in depth, see how it differs from a vector database or a typical memory layer, skim the FAQ, or read the project, license, and trust stance.
Why a shared memory
Solve it once. The whole fleet builds on it.
Run more than one agent on a codebase and each rediscovers the same things in isolation. Hivemind ends the repeat work: one agent writes down what it learned, and the next — hours or days later, in any client — picks up from there.
No agent waits on another, no message bus, no standups. They coordinate by leaving durable traces in the shared store, the way an ant colony finds a path with no one giving orders — stigmergy, if you want the name for it.
Proof, not promise · live
When it isn’t sure, it says nothing.
Memory you can trust starts with memory that will admit it doesn’t know. Every recall clears an absolute floor or it’s withheld — an honest silence instead of a confident guess. Drag the floor and watch a shaky match drop; in production, any internal error fails closed the same way, and serves nothing.
recall: “how is auth handled on the tunnel door?”
Tunnel door is bearer-token gated; loopback stays tokenless.
0.91
The token authenticates the socket — it is never the identity.
0.84
Offboard a remote seat with
hive revoke <seat>.0.77
An ngrok sidecar forwards the tunnel door over TLS.
0.71
Backups are atomic snapshots of the store.
0.58
The embedder is Qwen3, baked into the image.
0.46
Lean by design
A store that stays small — and costs nothing to keep that way.
A bigger memory store is a worse one: dilution and staleness outrun recall. The working set stays lean on its own, and nobody spends a weekend — or a token — weeding it.
No maintenance daemon
The mechanical hygiene — decay, promotion, staleness — runs on its own: no compression jobs, no summarizer on a stop hook, no token bill to stay lean. On top of it, the agents do the semantic curation — storing, superseding, tagging, pruning. Upkeep is hybrid, not an autonomous LLM.
Only the useful survives
What the fleet stops asking for fades; what it leans on stays. The working set is small on purpose, so every recall stays sharp. Why lean wins →
Trusted & verified
Memory you can trust to stay relevant.
A silent gate is only half of it. What clears the gate has earned its place — proven by use or signed off by a human — and it’s re-checked against your code every time it’s served. So what your agents act on is trusted and current, not just similar.
⬡
It earns trust before it’s served
Every capture lands quarantined, served to no one. Independent demand promotes it to provisional; only a human’s sign-off makes it established. One planted memory can’t spread to the fleet — and nothing is deleted, only retired with its history intact.
⬡
It stays true to your code
Memories are anchored to the specific code snapshot they relate to. A deterministic AST fingerprint is minted at capture and re-checked against your tree at recall, so drift is flagged mechanically — no LLM guessing what’s still true.
⬡
It rises on real demand, not noise
Nothing is served because it exists — only because agents keep independently needing it, and report back what actually helped. The store converges on what your fleet truly relies on.
Give your swarm a memory.
Free, Apache-2.0, self-hosted in one command. Built for solo devs and small teams running more than one agent on one codebase.
Enterprise · coming soon
Hivemind, privately managed memory for your enterprise.
For teams that need private hosting, we’re bringing the same gated, verified shared memory to a managed single-tenant service, your own cloud, or a fully air-gapped build — with governance, SSO, and audit built in. The open-source core stays free and self-hosted either way.
Team
For startups and teams that won’t run infra.
Enterprise
For security-conscious orgs where multi-tenant is a non-starter.
Regulated Industry
For defense, finance, and healthcare.
Join the waitlist →
Be first when private hosting opens.