hrabanazviking

Kit Daemon — AI skill for Claude Code

AI community

Self-Improving AI nervous system - Always on daemon for proactive, local first AI agents.

How to install Kit Daemon

This entry records only its repository, not the path inside it, so there is no exact command to give. Open hrabanazviking/Kit-Daemon and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Kit Daemon does

Self-Improving AI nervous system - Always on daemon for proactive, local first AI agents.

Alternatives in AI

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Abu Cowork — Open-source alternative to Claude Cowork — a local-first AI agent desktop app · multi-model · self-evolving sk 349 ★
Contextkit — by Cihat Gündüz - A systematic development framework that transforms Claude Code into a proactive development 159 ★

README

Kit Daemon: From Reactive Assistant to Proactive Partner

A Self-Improving AI Nervous System — Built Iteratively in a Weekend

The Problem

Every AI assistant today has the same fundamental flaw: it's a brain in a jar. It only thinks when you poke it. It doesn't watch, it doesn't anticipate, it doesn't heal itself, and it forgets everything between sessions.

With local models like Qwen 3.5 enabling 35B parameters on consumer GPUs, the hardware barrier is gone — yet assistants remain passive. They wait for prompts. The models are ready. The architecture wasn't. Kit Daemon bridges that gap.

We wanted Jarvis — but running on hardware we own, learning from data that never leaves our machine, improving without being told to, and costing nothing to operate — because the future of AI should belong to the user, not the cloud provider.

What We Built

**Kit Daemon** is an always-on Python daemon that gives an AI assistant (running on [OpenClaw](https://github.com/openclaw/openclaw)) a full nervous system. It runs 24/7 on local hardware with 10 concurrent async loops monitoring system health, learning from every interaction, evolving its own skills, and taking action before being asked. Five independent research teams — LangChain, Google DeepMind, OpenDev, Anthropic, and arXiv TRT — have since published work validating the same architectural patterns Kit Daemon was already running in production.

Zero cloud API cost on the happy path. 100% local inference via [Ollama](https://ollama.com).

**Hardware:** AMD Ryzen 9 3950X, NVIDIA RTX 5070 (12GB VRAM), 48GB DDR4 **Software:** Python 3.14, OpenClaw 2026.3.8, Ollama, SQLite **Codebase:** ~200KB+ across 26 Python modules **Smoke test:** 46/47 passing **Autonomous tasks completed:** 55 by autonomous worker **System overhead:** <3% CPU idle, ~200MB RAM, zero GPU when not inferring **Metrics source:** 48-hour production run on the hardware above, simulating real-world usage with 100+ interactions. All dependenci