GRIFFai Agent OS

Give AI a memory. Keep humans in command.

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.

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

Durable context across every authorized agent.

Govern

Human authority and policy before sensitive action.

Execute

Coordinated missions, tools, owners, and handoffs.

Prove

Evidence assembled as the work happens.

New · MEME Benchmark Results

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.

See the results →
New · Agent State Integrity

Reading something is not permission to remember it.

Gate durable state on evidence, source trust, writer authority, confirmation, and read-time admissibility.

See the state boundary →
Execution Trust

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.

See execution evidence →
New · Per-Agent Identity

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.

See how attribution works →
New · Work Memory

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.

See how Work Memory works →
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. Cold starts

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

  2. Fragmented context

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

  3. Unscoped authority

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

  4. 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.

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.

GRIFF Brain

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.

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.

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.

View1 of 8
Operating recordMission 042 · release readiness review
ContextGRIFF Brain packetCURRENT
Agent handoffClaude → GeminiPRESERVED
Production changeHuman checkpointREVIEW
Credential scopeBoundary exceededBLOCKED
OutcomeEvidence packagePROVEN
4agents coordinated

Across the same mission context

1approval waiting

Production change is paused

6evidence 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. Connect

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

  2. Load context

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

  3. Evaluate

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

  4. Approve

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

  5. Execute

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

  6. Record

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

  7. Review

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

THE OPERATING LOOP

Remember. Govern. Execute. Prove.

Remember

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

Govern

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

Execute

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

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.

Fastest path

Cloud-connected

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

Start with Cloud
Controlled data gravity

Hybrid

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

Talk to us about hybrid
Maximum 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?

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.

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.