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AI harness for and with Eclipse IDE with the focus on offline LLM with llama.cpp. Build with LangChain4J. Supports Ollama, LM Studio, llama.cpp, unsloth or cloud providers like with OpenA API, Anthropic Claude, Google Gemini, Mistral, GitHub Copilot. Contributions are highly welcome!
AHIVE Ecosystem: A full-stack Multi-Agent system featuring a Local LLM Core Engine, Tauri-based IDE, 3D Visualization Dashboard, and Electron Desktop App.该系统强调**本地化部署**(Local-First)和**可视化交互**,支持多智能体(Multi-Agent)协同工作,适用于个人开发者、AI 研究团队及企业级自动化场景。
AI Without Fear — Practical local AI field manual + clean ComfyUI workflows. Portfolio proof of workflow design, RAG organization, documentation discipline, and real 2026 AI systems-building experience.
Multi-LLM Chat: A browser-based chat interface for interacting with multiple Large Language Models, including Ollama and LM Studio. No server-side component; all data is stored locally in
AI-powered vulnerability intelligence platform that transforms raw security scan results into actionable insights through automated threat enrichment, explainable risk prioritization, confidence scoring, root-cause analysis, attack-path visualization, and local AI-assisted remediation—all within a secure, privacy-focused architecture.
A relational knowledge base of logical relations between concepts (genus-species, part-whole, cause-effect, opposition) across domain universes, designed as a grounding layer for LLMs: machine-readable definitions, validated relation grammar, and an LLM-driven filling engine.