The nervous system for AI.
LogicFrame is the governed memory and decision layer for the AI agent economy. It lets AI systems remember across sessions, share what they know under policy, and prove every action they take, from the enterprise cloud to the fully air-gapped edge.
AI agents forget. They cannot share what they learn, they cannot prove what they did, and most cannot run where the mission actually is. Without a governed memory layer, every agent starts from zero and every decision is unaccountable.
As organizations move from single chatbots to teams of autonomous agents, the missing piece is not a smarter model. It is a shared, governed memory those agents can trust, and a record that holds up under scrutiny.
One governed layer
beneath every agent.
LogicFrame gives AI systems a shared memory they can trust. Every interaction resolves to three primitives, and on top of that memory, decision intelligence surfaces what is contradicted or missing so teams act on what is actually known.
Remember, with governance
Agents write what they learn to a persistent, policy-governed memory that survives restarts, failures, and hand-offs between sessions.
Retrieve what is allowed
Any authorized agent retrieves exactly the context it is entitled to, through semantic and hybrid search in the connected build and governed recall everywhere.
An account that holds up
Every read and write is recorded to a tamper-evident, append-only audit chain, so what an agent knew and did can be reconstructed and trusted.
LogicMem: the memory
layer, in two builds.
One engine. A commercial build that is in production today, and a hardened defense build for governed, air-gappable environments. They share the same core; they differ in the security and governance hardening around it.
LogicMem
Managed and self-serve. The memory layer for teams building agents, copilots, and voice AI.
- MCP-native, with a documented REST interface and one-line integration
- Persistent memory that survives restarts, with semantic and hybrid recall
- AES-256-GCM authenticated encryption with per-tenant isolation
- Key-based API authentication and a tamper-evident audit chain
- In live production today
LogicMem Defense
Hardened and governed. The same engine, built for classified and critical-infrastructure environments.
- Operates fully air-gapped, with no external dependency at run time
- Cryptographic suite aligned to the CNSA 2.0 symmetric standard
- Role-based access control, rate limiting, and injection protection
- OAuth 2.1 with PKCE and signed messages; governed agent-to-agent sharing
- Append-only audit chain across reads and writes
One memory.
Many agents.
In real time.
LogicMem lets independent agents work from a single governed memory and stay in sync as it changes. Every exchange passes through a policy gate and is written to the audit chain, so working together never means losing control.
- Agents register and announce themselves to the shared memory
- Updates broadcast to the group the moment they are written
- Shared reads and writes stream live, in real time
- Every exchange is scoped by policy and recorded
Persistent governed memory
Durable memory that survives restarts and outages, scoped and controlled by policy at every access.
Agent-to-agent sharing
Independent agents draw on a common memory in real time, with every exchange mediated by a policy gate and recorded.
Semantic and hybrid recall
Retrieval that combines meaning and exact terms, so recall is both relevant and precise in the connected build.
Tamper-evident audit
An append-only, hash-chained record of reads and writes that cannot be silently altered.
Decision intelligence
Surfaces contradictions and gaps in what is known, turning stored memory into decision support.
Operator-restricted security
Operator-access-restricted encryption, isolation, and authenticated access, tiered to commercial or defense need.
Built to be trusted
with what matters.
Security is tiered to the environment. Commercial deployments carry a commercial-grade baseline; the defense build adds hardening for classified and critical-infrastructure use. The two are never conflated.
AES-256-GCM authenticated encryption, with key derivation and audit hashing aligned to the CNSA 2.0 symmetric suite in the defense build.
An append-only, hash-chained record of reads and writes, so activity can be reconstructed and verified end to end.
Role-based access control and per-tenant isolation, with OAuth 2.1 and PKCE and signed messages on the defense build.
Cloud, hybrid, or fully air-gapped, with no external dependency at run time in disconnected environments.
Architecture designed to support SOC 2, HIPAA, and GDPR requirements. LogicFrame generates internal control-mapping reports supported by system evidence; these are internal mappings, not an external certification, accreditation, or authorization.
Two worlds, one engine.
Memory your agents can trust
For teams shipping agents, copilots, and voice AI that need to remember reliably, coordinate safely, and prove what they did.
- Drop-in memory over MCP or REST
- Shared context across a fleet of agents
- An audit trail for every automated decision
Governed memory at the edge
For mission environments that require governed, auditable memory that keeps working when disconnected and meets a higher security bar.
- Fully air-gapped, governed deployment
- CNSA 2.0-aligned cryptographic posture
- Authorization achieved through accreditation
Built for
high-consequence work.
LogicFrame LLC builds the governed memory and decision layer that the AI agent economy is missing. The same engine that serves commercial builders, hardened and governed, serves defense and critical-infrastructure operators who cannot accept an AI that forgets or cannot prove what it did.
We build with a single discipline: claim only what the running system does, and prove it. That standard is why teams trust LogicFrame with high-consequence work.
Read our story →Bring governed memory
to your agents.
Tell us what you are building, in the enterprise or for the mission. We will show you what a governed memory layer changes.