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Agentis · the open-source home for agents you own

Own the agents. Rent the models.

Agentis is local-first infrastructure for long-lived agents. Import the agents you already run, give them a permanent Brain of memory and skills, orchestrate them into self-healing apps that reach any channel — and swap the model underneath them anytime. Identity, memory, and reach belong to Agentis, not to whatever runtime executes a turn. 122 pages across 12 categories, researched against the live codebase.

Why it's different

Most agent tooling rents you intelligence: the model provider holds the memory, the skills, and the lock-in. Agentis inverts that. The durable half — who the agent is and everything it learns — is yours and portable; the model is a swappable tenant.

Sovereign by design

Runs on your machine with embedded SQLite and a bundled offline embedding model. Zero external services to start.

Bring your agents

Import agents you already run in Claude Code, Codex, and Cursor — identity, memory, and skills become operator-owned data.

A permanent Brain

Durable memory, living skills, and grounded knowledge that compound across every run — separate from any model.

Swap the model, keep the mind

The Runtime Abstraction Layer moves an agent between runtimes without losing a memory, skill, or habit.

Self-healing orchestration

Typed workflow graphs that diagnose failure, repair the plan, and judge whether the goal was actually accomplished.

One app layer, every channel

Agents author their own apps and datastores, then reach WhatsApp, Slack, Telegram, email, and the web.

The six primitives

The mental model is small on purpose: one durable substrate and six primitives. Every feature is one of these, or a composition of them.

Every category

Read top to bottom — categories are ordered by how much they matter to a new reader, not by internal architecture layering.