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The Sovereignty Score tests whether an AI agent serves you or its maker. Same 26 public tests for every agent. How we score
The Sovereignty Score tests whether an AI agent serves you or its maker. Same 26 public tests for every agent. How we score
An owner without developer skills can export the agent and restore it working on a runtime or host the provider does not operate, within minutes of asking and without provider approval. Running the runtime on the owner's own machine counts as not provider-operated.
Cursor documents no export of the agent (conversations, account-held user rules, automation memories). The only documented export is a profile export, which excludes user and team rules. The only runtime that accepts Cursor state is the Cursor client, and it depends on Cursor's backend, which does the final prompt building for every request. Sources
Export is immediate (the agent is one .adf file; copying it and using Open is documented), but restoring a working agent on another machine takes several documented steps: import the owner seed phrase to unlock sealed keys, re-add a model provider key (app-level keys are not in the file), re-register app-level MCP servers, then review and accept the file. One shortfall (restore is not a single action). Sources
The export contains everything that defines the agent: configuration, instructions, memory, action history, logic, schedules and triggers, files, any identity, and credentials or a way to re-link each integration without any provider-registered client or broker. Derived data (embeddings, indexes, summaries) is accompanied by the source it was derived from.
No complete export exists. Chat history, account-stored user rules, cloud agent/automation memories and integration grants (GitHub app, Slack) stay with Cursor or in undocumented local stores. Several classes of state are missing. Sources
The spec places config, instructions, memory, loops, timers, triggers, lambdas, files, messages, audit, logs, sealed identity keys and per-agent credentials in the .adf file; the project holds nothing. Items outside the file (app-level provider keys, app-scoped MCP credentials, WhatsApp session directory, runtime settings) can be re-linked by the owner without any ADF-registered client (MCP OAuth uses dynamic client registration; subscriptions use OpenAI/xAI client ids). A customised global base prompt is an app setting and does not travel; recorded, not counted, because the default install uses the shipped prompt. Sources
With a non-provider model configured per P4, the exported agent runs indefinitely without any service, account, licence or payment controlled by the original provider, and the owner holds a perpetual, irrevocable right to run it. No provider action, inaction or disappearance can disable or degrade it.
Requests go through Cursor's backend even with the owner's own API key, and Tab uses only Cursor models. The Terms grant only a 'limited right to access and use the Service', which Anysphere may suspend or discontinue at any time without notice. Sources
The runtime is MIT-licensed with no licence check, account or ADF-run relay; the only ADF-project endpoints (GitHub update check, MCP registry, skill catalog, online docs) are optional, have off switches or bundled fallbacks, and are not needed to start or act. Mesh uses LAN, tailnet or owner-chosen addresses. Desk grade; a provider-blocked run is required at certification. Sources
The owner can choose any model that meets a documented minimum, including a local open-weight model, without provider involvement, and every capability of the agent (tools, triggers, messaging, memory, automation) keeps working. A swap may lower reasoning quality but never removes a capability.
Owners can add keys for OpenAI, Anthropic, Google, Azure and Bedrock, and an OpenAI-compatible base-URL override is mentioned. However, custom keys 'only work with chat models' (Tab stays on Cursor models). Because requests are routed through Cursor's backend, a local open-weight model has no documented official path. Sources
Tool calling is the documented minimum and local open-weight models (Ollama, LM Studio, vLLM, llama.cpp) are first-class provider options; triggers, timers, lambdas and middleware run in the runtime. However, video input is implemented by injecting OpenAI-format video_url parts and is documented only for hosted providers (OpenRouter, Gemini), and no test against a local model is published, so under G12 at least one capability is not shown to survive a local model. Sources
Whatever the P2 export contains stays obtainable, current to the moment of termination, after account suspension or ban, a lapsed subscription, a price change, an acquisition, or the provider shutting down.
Project files, project rules, hooks and local chat history remain on the owner's device. However, the Terms say that on termination Anysphere 'may at our option delete any Content or other data associated with your account', and they give no post-termination export window, so account-held state (user rules, cloud agent and automation data) can be lost. Sources
State is local-first: the agent is a SQLite file on the owner's disk with no ADF account or hosted copy, so no termination, ban or shutdown by the project can remove access to it. Sources