Memory that stays yours
Keep durable personal and project context locally, review what is remembered, and correct it without erasing history.
ODINN / FORGEA local-first personal AI agent runtime with durable memory, model freedom, real-world tools, and explicit safety boundaries. Ódinn turns the messy middle of real work into a local, inspectable workspace—one that can act without becoming unknowable.
ÓDINN / 001Ódinn binds the conversation to the things real work needs: durable context, real tools, bounded authority, and a record you can return to later.
Keep durable personal and project context locally, review what is remembered, and correct it without erasing history.
ODINN / FORGEUse browser sign-in, API keys, local OpenAI-compatible servers, Ollama, or supported command-line adapters.
ODINN / FORGESearch the web, use an isolated browser, and run tools through the same policy-gated, audited kernel path.
ODINN / FORGESee sessions, projects, goals, schedules, approvals, runs, and audit history in a chat-first local console.
ODINN / FORGEEvery tool boundary travels through the same policy-gated kernel. Ódinn can move quickly, but the important choices remain legible.
Chat naturally or define a bounded task.
External or risky actions pause before they cross the line.
Runs, decisions, and results stay attached to the work.
Ódinn defaults to a loopback-only, single-user gateway. Browser mutations are approval-gated, credentials stay out of normal evidence, and unknown tools are treated conservatively.
Study the security model01Forked workers provide crash containment, not a security sandbox.
02Remote hosting provides application-level tenant isolation, not hostile-user operating-system isolation.
03External effects and nondeterministic provider behavior remain outside full replay and rollback guarantees.
Experimental capabilities are individually gated. Each has a name, a boundary, and a page that tells you exactly what enabling it means.
Verify work with bounded, evidence-backed assertions rather than trusting a model to declare success.
Read the experiment ↗Evaluate deterministic safety invariants before a command, file operation, or tool action proceeds.
Read the experiment ↗Grant one short-lived operation narrowly scoped authority without turning a broad permission on forever.
Read the experiment ↗Snapshot selected local files before mutation and preview restoration before anything is applied.
Read the experiment ↗Export redacted, checksum-verified run bundles for inspection, verification, or controlled replay.
Read the experiment ↗Try bounded plans in separate workspace copies, compare recorded outcomes, and keep selection explicit.
Read the experiment ↗Use measured verification, reliability, speed, cost, and policy outcomes to inform model selection.
Read the experiment ↗Watches for repeated audited failures and applies only reversible, allowlisted reliability tuning through a bounded controller. It cannot disable safeguards, grant permissions, or invent arbitrary actions.
Ódinn is a real workspace for conversations, memory, tools, and the decisions that connect them. Start local, choose your model, and keep the system close enough to understand.
YOUR MACHINE / YOUR MODELS / YOUR AUTHORITY