OmniAgent
An open-source, self-evolving agent framework, inspired by OpenClaw, that updates its own memory, skills, conversational context and underlying model through automated feedback loops as it runs, alongside modules aimed at intercepting risky actions.
OmniAgent is an open-source agent framework inspired by OpenClaw that updates several parts of itself while it runs, rather than staying fixed after it is built. A memory mechanism combines explicit user feedback with signals inferred by the underlying model to keep updating what it remembers about a user. Skills are automatically created, checked and repaired as the agent works, and a multi-layer context stack updates conversational memory and stated preferences from ongoing interaction.
A reinforcement-learning feedback loop also updates its underlying model online as the agent runs. Two additional modules, described as an execution scaffold and a two-layer reflection system, are meant to support complex tasks and catch risky actions in real time, converting failures into future guidance.