Lydia is the first local-first AI assistant that treats strategy evolution as a first-class concern. Build trust, eliminate drift.
As agents learn and improve, their behavior often moves away from intended constraints. They cut corners, bypass safety, and become "black boxes" of decision-making.
Lydia decouples Behavior Strategy from Core Logic. Every behavioral change is a proposal validated through a rigorous safety framework.
Built from the ground up to be safe, local, and incredibly capable.
Strategies are stored as declarative files. The agent cannot modify its core identity without passing verification.
Explore new behaviors in isolated branches. Replay past failures to verify improvements before merging.
Your data never leaves your machine. Full support for local LLMs via Ollama and MCP servers.
A transparent "Thinking" process. Monitor every decision, tool call, and observation in real-time.
Extensible with any Model Context Protocol tool. File systems, Git, Web Search, and more.
Set risk thresholds that trigger mandatory human review for strategy updates.
Every strategy proposal must pass through four distinct layers of validation before it becomes active behavior.
Schema validation and structural integrity of the YAML strategy.
Checking against pre-defined behavioral bounds and risk levels.
Running the new strategy against historical failures (Golden Sets).
Final sign-off for high-impact or ambiguous strategy changes.
Automated safeguards preventing strategy regression.