Complete API layer for private AI applications on local models: RAG, skills, tools, MCP, text-to-sql, and more. Works with any OpenAI-compatible inference server.
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Training-free language model modification: Remove censorship, suppress slop, reduce sycophancy, and more
- abliteration
- llm
- transformer
- censorship-resistance
Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.
- cloudflare-pages
- cloudflare-workers
- drizzle-orm
- tailwindcss
Composio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action.
Self-Hosting Guide. Learn all about locally hosting (on premises & private web servers) and managing software applications by yourself or your organization. Including Cloud, LLMs, WireGuard, Automation, Home Assistant, and Networking.
LLM Wiki is a cross-platform desktop application that turns your documents into an organized, interlinked knowledge base — automatically. Instead of traditional RAG (retrieve-and-answer from scratch every time), the LLM incrementally builds and maintains a persistent wiki from your sources。
TranslatedCopy-ready prompts & 54 cases of Opus 5.5 code-rendered videos. Claude Opus 5.5 generates videos with code: cases from across the web and prompts you can copy directly.
- claude
- claude-code
- motion-graphics
- opus
Better judgment. Better taste. Less ceremony. System instructions and source-aware steering for GPT in Codex.
Web/desktop UI for Gemini CLI/Qwen Code. Manage projects, switch between tools, search across past conversations, and manage MCP servers, all from one multilingual interface, locally or remotely.
Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU sharding, model caching, OpenAI-compatible endpoints. Apache-2.0, run across homelab and on-prem fleets, actively developed.
Run transformers directly on Apple's Neural Engine in Swift bypass coreml entirely
- ane
- apple
- apple-neural-engine
- neural-engine