Using LLMs and rules for a local personal agent
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Updated
Jan 17, 2025 - Python
Using LLMs and rules for a local personal agent
A Python-based benchmarking tool for comparing different Ollama models' performance in development tasks. This tool helps developers evaluate and choose the most efficient model for their coding assistance needs.
Small restartable local-model worker for long-running browser and web research jobs.
Autonomous security agent on Kali Linux using Qwen 2.5-14b with LM Studio
HermesGo green package / USB-friendly / one-click install bundle with built-in local model runtime and Hermes Agent
Browser extension + local on-device classifier that detects and hides images of a chosen taxon (e.g. Arachnida) so you never have to see them — fully private, nothing leaves your machine.
Build and compare performance of essay evaluator in DSPy
AI agent that runs thousands of simulated scenarios overnight to train a local specialist for your domain.
DocToSpeech coqui-TTS variant Pinokio project
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