5 RESULTS · “feedback”
v1.1.0 · Apache-2.0
cotal.ai actions: product overview, site search, build log, feedback, Cloud waitlist, updates, calls
v1.3.0 · MIT
Search that learns from feedback, over text and images: embeds locally, sends DNA only vectors.
v0.1.1 · MIT
Search the Cerebrium docs: deployment, cerebrium.toml, hardware, endpoints. Also sends feedback.
v7.0.1 · MIT
MCP Toolkit for Flutter AI Agent Driven Development (MCP/CLI + custom client side tools) - via closed feedback loop (visual & semantic snapshot) and high client side customization adaptable for any Flutter app. Nowadays it is often called as agentic harness.
v1.1.0 · no license
A search engine that learns from feedback, over embeddings: one tool per API route.