AI Architecture Analysis
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Our Agentic Context Augmented Generation (Agentic CAG) engine loads full source files into context on-demand, avoiding the fragmentation of traditional RAG systems. Ask questions about the architecture, dependencies, or specific features to see it in action.
Repository Overview (README excerpt)
Crawler viewš¦ Take control of your OpenClaw costs What do you get? ⢠š **Route requests to the right model** ā cut costs up to 70% ⢠š **Automatic fallbacks** ā if a model fails, retry with backup models instantly ⢠š **Set limits** ā get alerts when usage goes over a threshold Why Manifest OpenClaw sends all your requests to the same model, which is not cost-effective since you summon big models for tiny tasks. Manifest solves it by redirecting queries to the most cost-effective model. Manifest is an OpenClaw plugin that intercepts your query, passes it through a 23-dimension scoring algorithm in **Want a hosted version instead?** Check out app.manifest.build Quick Links ⢠GitHub ⢠Docs ⢠Discord ⢠Discussions License MIT