Cold starts
Every session rebuilds context that should already exist. Decisions, constraints, and prior work get re-explained by hand.
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.
The failure is accumulated friction. Each mode is manageable alone; together they make production AI expensive, fragile, and difficult to trust.
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.
The complete operating environment connecting memory, agents, people, tools, policies, budgets, tasks, and evidence.
Outcome: Move from experimental AI use to repeatable, managed operations.
The persistent memory and continuity core for decisions, documents, tasks, corrections, approvals, and outcomes — current versus superseded, always.
Outcome: Fewer cold starts and durable institutional knowledge.
The customer control plane: one workspace for users, tasks, missions, configuration, security, billing, evidence, and reports.
Outcome: One operating view for technical and nontechnical leaders.
Modular capability across memory, security, compliance, operations, reporting, connectivity, and execution.
Outcome: Expand without replacing the core.
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.
Memory informs the work. Authority permits the action. Evidence preserves the result.
Give authorized agents the context needed to continue work without rebuilding it from scratch — across models, sessions, users, and devices.
Keep human authority, policy, budgets, credentials, and deployment boundaries under control. Memory informs an action; it never grants permission.
Coordinate people, agents, and tools around tasks and missions with owners, attempts, handoffs, escalations, and outcomes.
Record what happened, who approved it, and what the work produced — evidence created as work happens, not reconstructed after.
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.
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.
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.