Kdeps

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Feature	Kdeps
STOA Rating	7.0
Description	Kdeps lets you build AI agent workflows in YAML and run them anywhere — locally with Ollama or llamafile (no API key needed), or in the cloud with OpenAI, Anthropic, or Groq. You write one workflow file, and Kdeps turns it into a running REST API, bot, or multi-agent pipeline. When you're ready, export it as Docker, Kubernetes, a single binary, or a bootable ISO — same file, no rewrites.
Strengths	•Fully offline option — Ollama and llamafile work out of the box with no API key or cloud dependency •No vendor lock-in — switch LLM backends in config without touching workflow files •YAML replaces boilerplate: one file does what Python + Flask + SDK + retry logic used to require •Apache 2.0 licensed and open source — standard git repo, no proprietary format •NVIDIA Inception program member adds credibility to the project
Weaknesses	•CLI and YAML-first interface means this is a developer tool — non-technical teams can't use it •No hosted cloud option described on the site; you manage your own deployment •Relatively new project; community and registry size are still growing
Key Features	•Run a local AI coding agent instantly with `kdeps` — uses Ollama for fully offline, private inference •Write workflows in YAML with `requires:` to declare dependencies between steps; no Python glue code needed •Orchestrate multiple agents ("agencies") declaratively — one agent calls another via the `agent:` resource type •Install pre-built components from the registry: scraper, search, browser, embedding, TTS, email •Deploy the same workflow.yaml as Docker, Kubernetes, single binary, or bootable ISO — no format changes
Pricing	Free tier available Free Tier
Best For	All industries
AI Features	AI-Powered Local AI REPL powered by Ollama or llamafile (no API key required); supports OpenAI, Anthropic, Groq, and any OpenAI-compatible endpoint; LLM decides which tools to call in agent mode; AI skills for Claude Code and Cursor scaffold workflows automatically.
Categories	Build & ConnectBuild with AI
STOA Verdict	Kdeps is a strong pick if your team builds AI-powered APIs or bots and wants full control over where the code runs. The YAML-first approach removes most boilerplate, and the offline-first design is rare in this space. The tradeoff: you need engineers comfortable with CLIs and container deployments to get value out of it.
	Visit Kdeps View Profile

Kdeps

7.0AI

Kdeps lets you build AI agent workflows in YAML and run them anywhere — locally with Ollama or llamafile (no API key needed), or in the cloud with OpenAI, Anthropic, or Groq. You write one workflow file, and Kdeps turns it into a running REST API, bot, or multi-agent pipeline. When you're ready, export it as Docker, Kubernetes, a single binary, or a bootable ISO — same file, no rewrites.

Strengths

•Fully offline option — Ollama and llamafile work out of the box with no API key or cloud dependency
•No vendor lock-in — switch LLM backends in config without touching workflow files
•YAML replaces boilerplate: one file does what Python + Flask + SDK + retry logic used to require
•Apache 2.0 licensed and open source — standard git repo, no proprietary format
•NVIDIA Inception program member adds credibility to the project

Weaknesses

•CLI and YAML-first interface means this is a developer tool — non-technical teams can't use it

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Kdeps

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