GRIFFai Agent OS
The complete operating environment connecting memory, agents, people, tools, policies, budgets, tasks, and evidence.
Move from experimental AI use to repeatable, managed operations.GRIFFai Agent OS is the operating system for accountable AI work. It controls what agents remember, pauses sensitive actions for the right person, coordinates the work, and builds the proof as it happens.
Durable context across every authorized agent.
Human authority and policy before sensitive action.
Coordinated missions, tools, owners, and handoffs.
Evidence assembled as the work happens.
The field stores facts. GRIFFai revises beliefs.
The independent MEME benchmark names three unsolved problems in agent memory. GRIFFai posts 18× the field average on Cascade, 60× on Absence, and 3.3× the best published Deletion score — full 100-episode benchmark, MEME’s own judges.
Reading something is not permission to remember it.
Gate durable state on evidence, source trust, writer authority, confirmation, and read-time admissibility.
Know what an agent ran, with which inputs, and under whose approval.
Verify the exact inputs, approvals, policies, environment, and outputs behind an execution. Verification and evidence are available today. Runtime enforcement remains deployment-specific.
Know which agent did it — cryptographically, every turn.
Each governed action carries a signed, per-turn identity assertion, so the record attributes it to a specific agent, lab, and session — not just “an AI.” Rolling out now across the platform, tenant and operator scopes kept separate.
The work writes the playbook.
GRIFFai Work Memory turns work already completed in Agent OS into an employee-reviewed living playbook—without surveillance or recurring interviews.
Production AI breaks down in the space between intelligence and operations. GRIFFai closes that space with continuity, authority, coordination, and evidence.
Every session rebuilds context that should already exist. Decisions, constraints, and prior work get re-explained by hand.
Chats, tools, scripts, and models each hold partial history. No authorized agent sees the same current situation.
Tool access is mistaken for permission. Sensitive actions proceed without the right person reviewing them.
Leadership can see the output, but not the context, approvals, tools, or evidence behind it.
Start with the shared operating core. Add the control plane, memory, and extensions your work requires without rebuilding the system around every new model.
The complete operating environment connecting memory, agents, people, tools, policies, budgets, tasks, and evidence.
Move from experimental AI use to repeatable, managed operations.The evidence-backed continuity core for decisions, documents, tasks, corrections, approvals, and outcomes — with a gate before state is stored and again before it is used.
Less context rebuilding, without silently trusting every observation.The customer control plane: one workspace for users, tasks, missions, configuration, security, billing, evidence, and reports.
One operating view for technical and nontechnical leaders.Modular capability across memory, security, compliance, operations, reporting, connectivity, and execution.
Expand without replacing the core.Move through the public demo to inspect continuity, missions, agent handoffs, approvals, security and cost, evidence, and connections. Every view uses synthetic data and mirrors the platform operating model.
See context, handoffs, authority, scope, and evidence as one governed operating record.
Across the same mission context
Production change is paused
Attached as the work happens
This preview demonstrates product behavior with synthetic data. Customer workspaces remain private and tenant-scoped.
Open the full public demoEvery stage has an owner, a boundary, and a record. Memory informs the work; authority permits the action.
Connect a supported AI model, compatible agent, or internal application to the workspace.
GRIFF Brain retrieves the relevant memory, documents, decisions, and operating instructions.
The platform determines what the agent is trying to do and which controls apply.
Sensitive actions pause until an authorized person reviews and approves them.
The agent performs the approved task with the capabilities and resources available to it.
The request, actions, approvals, outputs, success or failure, and evidence are recorded.
Managers, security teams, customers, and auditors inspect or replay the record when needed.
Choose the data gravity and control model your organization needs. Move between them without changing the core accountability loop.
Centralized workspace management, agent connectivity, usage visibility, and billing in a managed environment.
Start with CloudKeep critical memory and data on your infrastructure while using GRIFFai for coordination and secure connectivity.
Talk to us about hybridRun the platform inside customer-controlled infrastructure for full authority over data, network, and policy.
Talk to us about self-hostingThe operating system for accountable AI work: persistent memory, multi-agent coordination, human approval, security, cost visibility, and verifiable proof in one platform — cloud, hybrid, or self-hosted.
No — it sits underneath them. Claude, ChatGPT, Gemini, Grok, custom agents, and MCP-compatible apps connect to the same shared memory and operating context.
GRIFF separates five questions: does the evidence exist, does it support the claim, may this source create this kind of state, may this writer persist it, and is it still safe for this task? Every admitted write and later use receives an evidence-chain receipt.
Yes. Hybrid keeps your data on your infrastructure; self-hosted runs the full platform inside your boundary. The operating model stays the same — only the data boundary moves.
Start with the right workspace — Personal, Starter, Team, or Enterprise — and expand with Platform Extensions as the work grows.