Autonomous agents that think in private.
Give a model memory, tools, and permissions — and it runs a reasoning loop on your behalf. Every step executes inside the private inference network, so the thinking never leaks.
One agent. A continuous loop.
An agent isn't a single call — it's a cycle. Memory feeds the reasoning core, the core picks a tool, permissions gate the action, and the result loops back as new context.
packets show context circulating the loop in real time
Watch a single turn unfold.
Think → Recall → Call tool → Observe → Answer. Scroll through the loop, or let it autoplay — the active step lights up as the agent works.
- 01 · thinkenclave · sealed
Reason about the goal
The agent forms a private chain-of-thought, decomposing the request into a plan. Intermediate reasoning never leaves the secure enclave.
- 02 · recallctx · 4 slices
Load relevant memory
It pulls only the slices of persistent context that matter for this task — encrypted at rest, retrieved by relevance, scoped to the user.
- 03 · call toolfn · search()
Invoke a permitted tool
A function call is dispatched through a permission gate. Anything outside the approved scope is blocked before it ever runs.
- 04 · observeobs · 1.2 kb
Read the result
The tool's output returns to the reasoning core. The agent verifies it against the plan and decides whether another step is required.
- 05 · answerdone · 940 ms
Act, then respond
With the plan satisfied, the agent commits the action and returns a final answer — while the reasoning trail stays confidential.
Four capabilities, one private boundary.
Each pillar is independently scoped and observable — and none of it ever crosses the private inference network's edge.
Persistent context that stays yours
Agents remember across sessions without your data ever leaving the private inference boundary. Context is encrypted at rest and retrieved by relevance, never streamed to a third party.
- Encrypted vector + episodic store
- Per-user scoping & isolation
- Relevance-ranked recall
Function calling, sandboxed
Give an agent typed tools and it decides when to call them. Every invocation runs inside a sandbox with its arguments and results kept inside the enclave.
- Typed function schemas
- Deterministic argument validation
- Sandboxed execution
Scoped and user-approved
Nothing runs that you didn't allow. Capabilities are granted per agent, per scope, and sensitive actions surface an approval gate before they execute.
- Capability-scoped grants
- Human-in-the-loop approval
- Full, auditable action log
Chain-of-thought, kept private
The agent's intermediate reasoning is computed inside a confidential enclave. You get the answer and the audit trail — never an exposed thought stream sent to a vendor.
- Confidential compute enclave
- No third-party logging
- Verifiable execution attestation
The thinking stays inside the enclave.
Reasoning, memory, and tool I/O are computed inside confidential hardware. You receive the result and a verifiable attestation — never an exposed thought stream.
Build an agent that keeps its thoughts to itself.
Wire up memory, tools, and permissions in minutes — and run the whole reasoning loop on the private inference network.