Solution · Remember

AI forgets. Your organization’s knowledge shouldn’t.

Persistent, shared, model-independent knowledge for your agents — every memory backed by evidence, versioned, governed and revocable. Served over API and MCP.

AI engineersagent developersplatform teamsCTOsenterprise AI teams
The pain

“Our agents forget, fragment context and depend on one model.”

Sessions end, context windows overflow, and each agent rebuilds its own partial view of the organization. Vendor memory locks that context to one model — and nobody can audit what an agent believes, or why.

What you get

Memory that outlives the session — and the vendor.

Persistent context

Knowledge survives conversations, sessions and restarts — history preserved, never silently lost.

Shared across agents

Every agent draws from the same governed knowledge base — no fragmented views.

Model-independent

Swap GPT for Claude for your own model; the knowledge stays. Portable by architecture.

Evidence-backed retrieval

Agents receive knowledge objects with evidence, versions and resolution states — not text.

Governed and revocable

Permissions, audit log, revocation. What an agent knows is controlled and inspectable.

API + MCP

One integration; every agent framework. MCP planned on the public surface.

The distinction

Model memory is not organizational memory.

Native model memory is useful — and solves a different problem.

Model memory remembers…Orves preserves…
the conversationthe organization’s knowledge
user preferencesdecisions, with their evidence
recent contextversioned history over time
one vendor’s sessionsknowledge portable across any model
what was saidwhy it is believed

Model memory remembers the conversation. Orves preserves organizational knowledge.

Built on

One infrastructure. No parallel system.

Every solution runs on the same products — the same knowledge objects, evidence, versions, permissions and audit log. A solution is a way to consume the infrastructure, never a second system.

Agent memory here is not a second system — it is verifiable knowledge served in the form agents need. Same objects, same evidence, same audit log.

Build AI systems that know where every answer came from.

Free sandbox — real API, sample corpus, verify a real certificate. Buy credits when it earns it.