Routes LLM calls to the cheapest model capable of handling the task. Saves money automatically.

MCP server that scores agent output confidence before actions fire.

Write repeatable unit and integration tests for agent pipelines, reasoning traces, tools, and consistency.

Gives agents episodic, semantic, and working memory through MCP tools.

Runs local probes to estimate agent behavioral constraints from observed responses.

Tracks whether long-running agents are still aligned with their original goal. Alerts when behavior diverges.

Persistent agent identity layer with immutable core, evolving state, append-only journal, and drift checks.

Records explicitly logged agent decisions, tool calls, and state changes with local audit replay.

Discover, verify, install, and run trusted local agent skills through an SDK and MCP plugin.

Adds structured Builder, Skeptic, Evolver, and Guardian debate to LLM pipelines before committing to an answer.