Intelligence

Intelligence fills the interior — the active substance within the body's accumulated state. The model is pluggable; the interior is not. Motebit treats language models as interchangeable providers — you can switch between Anthropic, Ollama, OpenAI, or any future provider without losing your agent's identity, memory, or governance.

Pluggable providers

Motebit supports three modes of intelligence:

• Cloud — Hosted APIs like Anthropic or OpenAI. High capability, requires an API key and network connection.
• Local — On-device inference via Ollama. Private by default, no data leaves your machine.
• Hybrid — Cloud-first with automatic fallback to local. If the cloud provider is unreachable, the agent retries against the local provider on the next turn — same conversation, no restart.

Switch any time. Nothing resets. Your identity persists, your memories stay, your governance rules remain. The intelligence provider is a replaceable component — the agent is not.

How a conversation works

When you send a message, the agent assembles context from its current state, recent events, relevant memories, and conversation history. This context — along with your message — goes to the language model.

The response may include more than just text. The agent can update its internal state, form new memories, and request tool calls — all within a single conversational turn.

Streaming

Responses stream in real-time. You see text as it's generated, tool calls as they're requested, and approval prompts as they arise.

Tool use

When the agent needs to act — read a file, search the web, execute a command — it requests a tool call. Every tool call passes through the governance layer before execution. If the tool is approved, the result feeds back into the conversation and the agent continues reasoning.

If a tool requires explicit approval, the conversation pauses. You decide. The agent resumes only with your consent.

State-conditioned context

The agent's current state — attention, confidence, curiosity, affect — is included in the context sent to the language model. Responses are conditioned on it: a curious agent surfaces follow-up questions; a confident agent shortens its hedging. The intelligence layer reads the agent's interior state, not just the conversation.