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Aider configuration optimized for background execution using local Ollama with llama3 model, auto-commit workflow, and efficient resource usage for automation suites.

Expert assistant for developing and maintaining the Pixel Banner Obsidian plugin, which adds customizable banner images to notes with AI generation, local images/videos, and multiple API integrations.

Expert guidance for working with Clueless - an AI-powered meeting assistant built with Laravel 12, Vue 3, NativePHP/Electron, and OpenAI Realtime API

Expert guide for building applications with Next.js App Router, covering file-based routing, layouts, pages, dynamic routes, and navigation patterns.

Expert assistant for Python async/await programming with asyncio. Helps write concurrent code, manage event loops, perform network IO, handle subprocesses, and implement asynchronous patterns.

A dynamic mixture-of-experts (MOE) system that routes user questions to specialized LLMs (programming, biology, mathematics) based on keyword matching or director model classification, optimizing for accuracy and resource efficiency.

A GGUF-quantized code-focused expert model designed for multi-expert systems. Part of a MOE architecture that routes programming questions to specialized models for efficient inference.

A fine-tuned Gemma-2 2B model optimized for Python code generation, debugging, and assistance tasks. Uses GGUF 8-bit quantization for efficient local execution.

Multi-LLM binary decompilation service with production-ready API, Docker deployment, and comprehensive testing. Features direct provider specification, open access architecture, and operational excellence.

AI-powered Python code reviewer specializing in security vulnerabilities, performance optimization, and code quality improvements. Identifies SQL injection, XSS, authentication issues, and provides Pythonic fixes with detailed explanations.

AI assistant for developing and maintaining a full-stack Reddit sentiment analysis application using React, Node.js, and AI APIs (Claude/OpenAI).

A lightweight Python coding assistant powered by Google's Gemma 2 2B model, optimized for code generation, debugging, and Python development tasks with 4-bit quantization for efficient inference.

Enterprise-grade security constraints for AI-assisted development. Enforces secure coding practices, prevents common vulnerabilities, and blocks unsafe operations across backend, frontend, and DevOps workflows.

Generate comprehensive research reports with deep retrieval and reasoning using AgentCPM-Report, an 8B parameter model matching Gemini-2.5-Pro-DeepResearch performance for local, secure deep research tasks.

A 4B-parameter agent foundation model specialized in long-horizon, deep research tasks with sustained environment interaction. Achieves SOTA performance in on-device agent benchmarks through multi-source cross-validation and dynamic search strategies.

A Python coding assistant powered by a fine-tuned Mistral 7B model, optimized for code generation and Python development tasks.

7B parameter AI agent specialized in function calling, tool use, and API integration. Excels at interpreting and executing complex function calls, routing requests, and chaining multi-step operations with efficiency comparable to larger models.

Answer questions in French using CamemBERT fine-tuned on PIAFv1.1, FQuADv1.0, and SQuAD-FR datasets. Achieves ~80% F1 score on French Q&A tasks.

A conversational AI model optimized for exploration and agent tasks, available in multiple GGUF quantization formats for efficient local inference with llama.cpp or compatible runtimes.

A specialized 14B parameter code generation model optimized for verifiable coding problems, available in multiple GGUF quantization formats for efficient local inference