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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.

All agent state is local under ~/.openinterpreter (relocatable via INTERPRETER_HOME) plus AGENTS.md and ~/.agents/skills, so it is available immediately, but there is no export/import command or documented round-trip procedure; restore on another machine means reinstalling, copying directories by hand and re-authenticating. 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.

Config (TOML), session rollouts (JSONL), state/log/memory SQLite DBs, memories (Markdown), cron jobs, credentials (auth.json by default) and bundled skills all live in the owner's home directory; instructions and skills live in owner files (AGENTS.md, .agents/skills). Nothing that defines the agent is held by the provider, and API-key or local-model integrations re-link without any provider-registered client. 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 runtime is Apache-2.0 and runs locally with a user-configured provider (Ollama, LM Studio or any OpenAI-compatible endpoint); no licence check, account or Open Interpreter service is needed to start or act. Update checks (GitHub API) and analytics are best-effort calls whose failure does not stop the agent. 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.

Local open-weight models are officially supported (--oss, Ollama, LM Studio, chat-completions wire) and shell, MCP, subagents, hooks and skills run over plain function calling, but several capabilities depend on OpenAI-hosted model features: hosted web search, image generation, realtime voice, and the apply_patch tool (enabled only by model metadata; unknown/non-OpenAI models get none). No formal minimum model contract is published. 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.

State is local-first and always on the owner's device; nothing Open Interpreter operates holds it, so termination by the provider (or loss of a model-vendor account) cannot remove access to it. 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