Kdeps allows developers to define AI agent skills and workflows in YAML files that can be executed locally with Ollama or llamafile, or deployed as Docker containers, Kubernetes resources, or standalone binaries. It functions as both an interactive local AI REPL for coding assistance and a server for running automated workflows. The tool supports open-weight models for fully offline use as well as connections to cloud providers like Anthropic.
KDeps sits in PulseGate's Developer Tools category. It focuses on orchestrating LLM-powered agents, databases, and APIs using simple YAML definitions instead of writing custom glue code. It is built as an open-source project for developers. The project is open source (Apache-2.0). KDeps is available on the command line, and it can be self-hosted.
Kdeps builds and maintains KDeps, and it first shipped in 2024. Development happens publicly on GitHub with 36 stars and 1.5k commits in the last 90 days. Key capabilities include YAML workflows, Local AI REPL, and ollama integration. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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