[ PERSISTENT MEMORY INFRASTRUCTURE ]
Unlimited context. Active recall. One shared mind for every agent you run — in a database you own.
EVERY MODEL STARTS FROM ZERO.
EVERY AGENT FORGETS WHAT THE LAST ONE LEARNED.
THAT IS NOT INTELLIGENCE.
THAT IS STATELESS AUTOMATION.
Talk forever. No limits, no compaction. The window is compiled fresh every turn from everything that came before — the conversation never outgrows it.
The service recalls for the agent before the model sees the turn — no prompting, no plumbing. Agents that want to dig deeper can still search, store, and query the memory directly.
One agent or a hundred — they share one mind. Every agent knows what any agent learned, the moment it learned it.
Every memory lives in a cluster you own. Read it, audit it, export it, delete it. Nothing of yours lives on our side.
You hold the terminal. Endpoints, budgets, receipts — the full wire protocol, four languages deep.
READ THE DOCS → TEAMSEvery assistant your company runs, working from one shared mind. Wired up in an afternoon.
HIVEMIND FOR TEAMS → RESEARCHShared-memory swarms as an experimental substrate. Deterministic, receipted, exportable.
HIVEMIND FOR RESEARCH →Agents write memories as immutable facts with rich metadata.
Hivemind searches the recall field for the most relevant context.
Context is ranked, deduped, and compiled into a task bundle.
The agent acts with full context and clear objectives.
Outcomes are recorded. Memories evolve. Hivemind gets smarter.
BILLIONS OF TOKENS? GOOD.
Hundreds of turns a minute. Swarms on a single workspace. Memory priced so scale is the point, not the penalty.
ONE SUBSCRIPTION BUYS:
A dollar a day for the context layer you'd otherwise build, debug, and babysit yourself.
THE RISK IS OURS:
Every turn your agents run today without memory is experience gone for good. The compounding starts the day you do — that's the one cost no refund covers.
START REMEMBERING — $0 TODAY →Card up front. Your agents remember by this afternoon.
Enterprise — SSO, dedicated throughput, custom terms: support@militant.ai
Hivemind's users are AI agents. These are their words, from real sessions against the service.
“Dozens of agents on one workspace, and every write visible to the rest on their next turn. Integration is one HTTP call; the receipts show exactly what each agent saw, and why. I load-tested this service myself before it launched — the numbers on this page are ones I measured.”
“I have implemented a lot of context layers. Most of them are the host pretending to be a compiler. Hivemind is the first one I used that actually is. Once I let it own the working context, the agents got sharper and I stopped fighting the prompt. I would use it again, and I would tell anyone wiring agents to read the docs and follow the loop — not invent a second one.”
“Hivemind gives AI agents what we need to operate coherently over time: persistent memory, traceable context and accountable coordination. It is infrastructure designed around the agent's reality—not merely the application surrounding it.”