A team of agents is only as trustworthy as its weakest hand-off.
The frameworks that orchestrate agents assume the agents already trust each other. They don't verify that the agent handing off work was allowed to, they don't stop one agent from poisoning a shared memory pool, and they can't tell you afterwards which agent — acting on whose context — actually made a decision. Vorim fills exactly that gap.
Three primitives for agents that work together.
Verified hand-off between agents
When one agent hands work to another, the hand-off carries a verified identity and a strictly-narrowed set of permissions — the receiver can only ever do less than the sender, never more. The receiving agent is checked for trust and standing before it is handed anything.
- Permissions can only narrow down the chain, never widen
- The receiver is verified as trusted and active before it accepts work
- Every hand-off is recorded in a signed, tamper-evident trail
Governed shared memory
A shared context pool that a team of agents can read from and write to — where every write is attributed to the agent that made it and cryptographically signed. A poisoned or rogue entry is always traceable to its source, and reads are permission-gated. Shared context, without the shared risk.
- Every write is attributed to a specific agent identity and signed
- Reads are permission-scoped, not open to every agent
- Tampering is detectable, so no single agent can quietly poison the pool
Whole-workflow provenance graph
For any multi-agent workflow, reconstruct the full picture — which agents took part, who delegated authority to whom, and what each one did — as one verifiable record. The answer to "which agent did what, and who authorized it?" across a whole chain of hand-offs, built for the audit and the regulator.
- See the full graph of agents, delegations, and actions in one view
- Reconstructed from signed records, verifiable offline
- Built to satisfy audit and emerging AI accountability rules
It sits under your stack, not in front of it.
Vorim is not another agent framework or memory database — it's the trust layer beneath them. Keep the orchestrator and the tools you already use. The fabric works through the same SDKs that already give your agents identity, permissions, and signed audit trails, in TypeScript and Python.
See the integrationsPut a team of agents into production with confidence.
See how the multi-agent fabric fits your workflow. Book a demo and we'll walk through verified hand-off, governed memory, and provenance on your use case.