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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.
The docs describe no export of a Devin agent and no importer or runtime outside Cognition's service. Skills can be read through the API and uploaded plugins downloaded as .zip files, but no restore target the provider does not operate exists. Outposts runs only tool execution locally; the agent loop stays in Devin's cloud. 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.
There is no export bundle. Session history, schedules, automations, secrets, repository indexes and environment snapshots all stay with the provider. Only some pieces (skills, plugin zips, session messages) can be fetched one at a time through the UI or API. 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.
The agent needs a Cognition account and a running Cognition service to start or act. Inference and planning run in Devin's cloud even with Outposts. The ToS grants only a non-transferable right to access the Services 'during the Term'. 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.
The owner can pick only from a model catalogue that Cognition curates and serves (Anthropic, OpenAI, Google, Cognition and some hosted open models). No custom endpoint or local open-weight model is documented, so model choice depends on the provider. Linking a ChatGPT plan changes billing only. 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.
Cognition may suspend or terminate at any time, including 'for any other reason'. On termination it 'may at our option delete any Customer Data'. No post-termination export window or shutdown plan is published, and state is held in the cloud rather than by the owner. 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