The operating system for accountable AI work.

Persistent memory, multi-agent coordination, human approval, security, cost visibility, and verifiable proof — brought together in one operating environment. Your AI should not start cold, act without authority, or leave you unable to prove what happened.

Works with Claude, ChatGPT, Gemini, Grok, custom agents, and MCP-compatible apps.
01
Remember

Durable context across every authorized agent.

02
Govern

Human authority and policy before sensitive action.

03
Execute

Coordinated missions, tools, owners, and handoffs.

04
Prove

Evidence assembled as the work happens.

The operational gap

A capable model is not yet an accountable operation.

Production AI breaks down in the space between intelligence and operations. GRIFFai closes that space with continuity, authority, coordination, and evidence.

  1. 01

    Cold starts

    Every session rebuilds context that should already exist. Decisions, constraints, and prior work get re-explained by hand.

  2. 02

    Fragmented context

    Chats, tools, scripts, and models each hold partial history. No authorized agent sees the same current situation.

  3. 03

    Unscoped authority

    Tool access is mistaken for permission. Sensitive actions proceed without the right person reviewing them.

  4. 04

    Unprovable outcomes

    Leadership can see the output, but not the context, approvals, tools, or evidence behind it.

One platform · four surfaces

A complete operating environment, not disconnected tools.

Start with the shared operating core. Add the control plane, memory, and extensions your work requires without rebuilding the system around every new model.

01

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.
02

GRIFF Brain

The persistent memory and continuity core for decisions, documents, tasks, corrections, approvals, and outcomes — current versus superseded, always.

Fewer cold starts and durable institutional knowledge.
03

Control Center

The customer control plane: one workspace for users, tasks, missions, configuration, security, billing, evidence, and reports.

One operating view for technical and nontechnical leaders.
04

Platform Extensions

Modular capability across memory, security, compliance, operations, reporting, connectivity, and execution.

Expand without replacing the core.
Explore the Agent OS

See the rest of the platform work together.

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.

Customer control planeOverview
Demo ready
Agent OS overview

One operating view for accountable AI work.

See context, handoffs, authority, scope, and evidence as one governed operating record.

View01 / 08
Operating recordMission 042 · release readiness review
ContextGRIFF Brain packetCURRENT
Agent handoffClaude → GeminiPRESERVED
Production changeHuman checkpointREVIEW
Credential scopeBoundary exceededBLOCKED
OutcomeEvidence packagePROVEN
04agents coordinated

Across the same mission context

01approval waiting

Production change is paused

06evidence references

Attached as the work happens

This preview demonstrates product behavior with synthetic data. Customer workspaces remain private and tenant-scoped.

Open the full public demo
How it works

One governed path from request to evidence.

Every stage has an owner, a boundary, and a record. Memory informs the work; authority permits the action.

  1. 01

    Connect

    Connect a supported AI model, compatible agent, or internal application to the workspace.

  2. 02

    Load context

    GRIFF Brain retrieves the relevant memory, documents, decisions, and operating instructions.

  3. 03

    Evaluate

    The platform determines what the agent is trying to do and which controls apply.

  4. 04

    Approve

    Sensitive actions pause until an authorized person reviews and approves them.

  5. 05

    Execute

    The agent performs the approved task with the capabilities and resources available to it.

  6. 06

    Record

    The request, actions, approvals, outputs, success or failure, and evidence are recorded.

  7. 07

    Review

    Managers, security teams, customers, and auditors inspect or replay the record when needed.

THE OPERATING LOOP

Remember. Govern. Execute. Prove.

01

Remember

Give authorized agents the context needed to continue work without rebuilding it from scratch — across models, sessions, users, and devices.

02

Govern

Keep human authority, policy, budgets, credentials, and deployment boundaries under control. Memory informs an action; it never grants permission.

03

Execute

Coordinate people, agents, and tools around tasks and missions with owners, attempts, handoffs, escalations, and outcomes.

04

Prove

Record what happened, who approved it, and what the work produced — evidence created as work happens, not reconstructed after.

Deploy your way

The same operating model across every boundary.

Choose the data gravity and control model your organization needs. Move between them without changing the core accountability loop.

01Fastest path

Cloud-connected

Centralized workspace management, agent connectivity, usage visibility, and billing in a managed environment.

Start with Cloud
02Controlled data gravity

Hybrid

Keep critical memory and data on your infrastructure while using GRIFFai for coordination and secure connectivity.

Talk to us about hybrid
03Maximum control

Self-hosted

Run the platform inside customer-controlled infrastructure for full authority over data, network, and policy.

Talk to us about self-hosting
Questions

Straight answers.

What is GRIFFai Agent OS?

The 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.

Does it replace my agents or models?

No — it sits underneath them. Claude, ChatGPT, Gemini, Grok, custom agents, and MCP-compatible apps connect to the same shared memory and operating context.

What makes the memory trustworthy?

The governed route prefers current over superseded state, checks recall before agents act on it, and records what was used. Agents act on memory you can verify, not whatever surfaced first.

Can I run it entirely on my own infrastructure?

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.

YOUR NEXT OPERATING LAYER

Give your AI continuity, authority, and a record you can stand behind.

Start with the right workspace — Personal, Starter, Team, or Enterprise — and expand with Platform Extensions as the work grows.