Tools are not authority.
A connected API, MCP server, browser page, or local command does not automatically become executable authority. Cuttlefish classifies capabilities before they become available to work.
Cuttlefish lets technical operators and enterprises expose real systems through manifests, compile them into governed capabilities, execute with approval and evidence, preserve receipts and operational state, and turn repeated work into reusable surfaces.
Models reason. Cuttlefish owns the work: authority, context, evidence, receipts, memory, graph, world state, and continuity across model replacement.
MCP servers, sandboxes, browser sessions, APIs, files, and shell commands are not enough. Once AI touches real environments, the hard questions change.
What is the agent allowed to see? What can it prepare but not execute? What requires approval? What must be blocked? What evidence proves the result? What becomes durable state after the action?
Cuttlefish is built for that custody layer.
A connected API, MCP server, browser page, or local command does not automatically become executable authority. Cuttlefish classifies capabilities before they become available to work.
Tool output is not enough. Cuttlefish captures evidence, verification state, receipts, approvals, denials, and run history so action can be inspected later.
Claude, OpenAI, Gemini, local models, private endpoints, and future models can all reason. Cuttlefish keeps the memory, graph, world state, receipts, continuity, and operating history outside the model.
Cuttlefish converts real environments into governed runtime objects. It discovers what exists, compiles what is safe, prepares work before execution, asks when authority is required, records evidence, and turns repeated work into reusable surfaces.
Register an enterprise environment, connect a personal source, speak a command, invoke Ambient, or start from Home.
Cuttlefish identifies the environment, source, surface, model route, current state, and authority boundary.
Available systems become governed capabilities - not raw unrestricted tools.
Cuttlefish can inspect, draft, summarize, plan, and prepare reversible work without crossing execution boundaries.
Consequential actions route through policy, approval, grants, and runtime execution.
Evidence, receipts, run history, world state, graph links, and memory candidates preserve what happened.
Cuttlefish connects to enterprise environments through governed manifests. A manifest describes what the environment exposes: capabilities, OpenAPI contracts, browser-operable targets, health checks, evidence routes, receipt routes, context resolvers, and optional RAG, graph, memory, and attention surfaces.
Once registered, Cuttlefish imports the environment and compiles approved operations into governed semantic capabilities. The model does not receive a raw API toolbox. Every capability is classified, risk-tiered, approval-aware, evidence-backed, and routed through the Cuttlefish runtime.
Cuttlefish starts with the manifest URL and validates the environment contract before any operation becomes usable.
OpenAPI operations, browser targets, context routes, evidence routes, and connector actions are normalized into runtime capabilities.
Every capability receives a state before use, so the model sees governed affordances instead of raw tools.
Approved work routes through governance, captures proof, and becomes durable operational state.
Cuttlefish can inspect what an environment exposes without treating every endpoint, browser target, or tool as executable authority.
OpenAPI operations, browser targets, context routes, evidence routes, and connector actions are normalized into governed capabilities with risk and policy metadata.
Unknown authority, missing credentials, incomplete metadata, unregistered targets, unsafe routes, or blocked risk classes prevent execution.
Cuttlefish records what was approved, denied, executed, verified, and receipted so operators can inspect the full trail.
Cuttlefish is broad because real work spans apps, files, browsers, systems, devices, models, automations, and teams. But the first wedge is precise: IT operators, MSPs, platform engineers, DevOps and GitOps leads, security-minded infrastructure teams, and technical service firms.
These teams already manage systems, permissions, approvals, client boundaries, change control, and evidence. Cuttlefish gives them a governed way to bring AI into that work without giving models unrestricted access.
Operate across client environments with manifest-driven boundaries, evidence packs, approval paths, and reusable operator workflows.
Expose internal systems through governed capability maps instead of raw model tools.
Use manifest-driven configuration, approval gates, evidence, and receipt trails around operational change.
Deploy AI work execution with tenant policy, role surfaces, audit trails, and model-independent continuity.
Cuttlefish now uses a focused 5-surface shell: Home, Workspace, Browser, Apps, and Settings. The runtime underneath is deeper than ever, but users do not need to navigate a wall of subsystem tabs to get work done.
Conversation, current work, approvals, results, Ambient handoffs, recent evidence, and the left-side outcome drawer.
Create, inspect, validate, version, and promote generated artifacts, workflows, and installable workspace apps.
Operate and verify web apps, pages, generated surfaces, localhost projects, and browser-bound workflows with evidence.
Open installed workspace apps, connected apps, generated operator surfaces, companion windows, app permissions, and app health.
Manage connections, governance, privacy, model routes, Ambient controls, Bridge grants, memory policy, enterprise settings, and advanced diagnostics.
Hidden engines remain runtime layers. They appear as cards, receipts, apps, companion windows, approval surfaces, evidence drawers, and advanced views only when useful.
Cuttlefish Ambient lets users invoke Cuttlefish from selected text, files, folders, browser pages, screen regions, hotkeys, command palette actions, result cards, and mobile continuation surfaces.
Cuttlefish Speak turns voice into governed work: dictation, implementation prompts, runtime commands, workspace artifacts, app creation, memory proposals, browser verification, and approval-routed actions.
Ambient is not silent monitoring. The user invokes Cuttlefish at the point of work.
Context is minimized, previewed, redacted, and routed through the right runtime boundary.
Speak can draft, command, build, route, verify, or prepare work without bypassing approval.
Consequential work still routes through policy, approval, evidence, and receipts.
Cuttlefish does not only generate output. When work repeats, Workspace can turn it into a governed app or operator surface with a manifest, permissions, data bindings, host-mediated actions, verification, receipts, rollback, and install targets.
The user names the workflow, expected outcome, inputs, and where the finished surface should live.
Workspace generates the UI, wires state, and binds it to approved runtime objects instead of placeholder data.
The app declares host-mediated actions, permission needs, rollback paths, and checks before it becomes installable.
Useful surfaces become installed apps, companion windows, role surfaces, or enterprise pack projections.
Generated surfaces can bind to Cuttlefish runtime objects, environment capabilities, evidence, runs, graph, memory proposals, and workspace artifacts.
Apps declare what they need. Host actions are mediated by Cuttlefish, not granted directly to generated UI.
Surfaces can be checked for render behavior, action wiring, accessibility, security posture, and policy fit.
Useful surfaces can become installed apps, companion windows, role surfaces, or enterprise pack projections.
Cuttlefish includes a governed browser runtime for web workflows, generated app previews, localhost verification, browser targets from enterprise environment manifests, and evidence capture. It can inspect page structure, execute approved actions, verify outcomes, and preserve artifacts for review.
Open web targets, generated apps, and local builds in the same governed verification surface.
Use page structure, accessibility, DOM signals, screenshots, and runtime evidence where available.
Pause automation, hand the session to the operator, and resume without losing run state.
Environment manifests can declare registered browser targets with allowed origins and selector policy.
Screenshots, page state, artifacts, and outcome checks can attach to Runs and receipts.
For personal users, Cuttlefish can understand apps, folders, browser pages, local services, smart devices, local/private model endpoints, generated apps, and recurring workflows as a governed personal environment.
Connected does not mean unrestricted. Discovery is not execution. Local models are cognition engines, not policy owners. Generated apps request host-mediated actions instead of receiving raw power.
Point Cuttlefish at approved files, folders, and app contexts without turning the whole machine into open access.
Register local endpoints, private models, and local services with health, privacy, and routing metadata.
Discover useful environment signals while keeping control, approval, and revocation visible.
Turn repeated personal workflows into installed Cuttlefish apps with permissions and receipts.
Cuttlefish does not rely on a model promising to behave. Actions route through capability classification, policy checks, consent, approval, runtime execution boundaries, evidence capture, and receipts.
Unknown capabilities fail closed. Generated UI is never sovereign. Prepared work is not execution. Connected systems do not become unrestricted tools.
Use Claude, OpenAI, Gemini, Azure OpenAI, xAI, DeepSeek, Mistral, Groq, Ollama, private endpoints, or OpenAI-compatible models. Cuttlefish can route cognition across approved models, but the durable intelligence does not live inside any one provider.
Memory, graph, world state, receipts, runs, approvals, evidence, workflow history, evaluation assets, and operational learning remain Cuttlefish-owned and deployment-owned.
Switch cognition engines while keeping continuity, receipts, memory, graph, world state, and run history intact.
Use local, LAN, private-cloud, sovereign-cloud, or external providers according to user or tenant policy.
A model can reason, draft, verify, critique, and propose. Cuttlefish decides what is exposed, executable, remembered, or receipted.
Cuttlefish enterprise mode lets organizations connect environments through manifests, control access through tenant policy, project role-native surfaces through Enterprise Surface Packs, route work through approval and evidence paths, and preserve durable intelligence inside the organization's governance boundary.
Expose systems, APIs, browser targets, evidence routes, and context resolvers without exposing everything.
Project the same runtime as role-native experiences for IT, support, compliance, platform, operations, and executive teams.
Use tenant-approved providers, local/private endpoints, or zero-frontier deployment patterns where required.
Approvals, receipts, runs, evidence, revocation, and tenant boundaries remain first-class.
Install Cuttlefish for personal work, or start an environment pilot for IT, MSP, platform, and enterprise teams that need AI to operate safely across real systems.
Install Cuttlefish, connect approved models, and build your personal environment with local-first controls, Ambient invocation, Workspace apps, Browser verification, and receipts.
Map one real environment, compile governed capabilities, test approval boundaries, capture evidence, and turn a repeated workflow into a reusable surface.
Bring Cuttlefish under tenant identity, policy, role surfaces, environment manifests, private model routes, evidence, receipts, and deployment controls.