#typescript #agent #agentic_rag #ai_coding #claude_code #code_generation #code_search #cursor #embedding #gemini_cli #mcp #merkle_tree #nodejs #openai #rag #semantic_search #typescript #vector_database #vibe_coding #voyage_ai #vscode_extension

Claude Context is a plugin that adds semantic code search to Claude Code and other AI tools, using your full codebase as context via a vector database like Zilliz Cloud. It finds relevant code instantly with natural language queries, indexes efficiently (only changed files), and cuts token use by ~40% for the same quality. You save costs on large projects, get precise results without loading whole files, and code faster with deep, relevant context across millions of lines. Setup needs free Zilliz/OpenAI keys and Node.js 20+; works with VS Code, Cursor, and more.

https://github.com/zilliztech/claude-context

#typescript #analytics #autogen #evaluation #langchain #large_language_models #llama_index #llm #llm_evaluation #llm_observability #llmops #monitoring #observability #open_source #openai #playground #prompt_engineering #prompt_management #self_hosted #ycombinator

Langfuse is a free, open-source platform to build, monitor, evaluate, and debug AI apps using large language models (LLMs). It offers tracing for app logic, prompt management, evaluations, datasets, a playground, and easy integrations like OpenAI, LangChain, and LlamaIndex. Deploy it on Langfuse Cloud (free tier) or self-host with Docker in minutes. This helps you quickly spot issues, improve prompts without slowing apps, test reliably, and speed up development—saving time and boosting AI performance.

https://github.com/langfuse/langfuse

#go #api #claude_api #deepseek #deepseek_api #docker #freeapi #go #openai_api #proxy #proxy_server #react #vercel #vercel_deployment #zeabur

DS2API turns DeepSeek web chat into APIs compatible with OpenAI, Claude, and Gemini, using Go backend and React web UI for easy management. It supports multi-account rotation, concurrency queues, tool calling, and models like deepseek-chat/reasoner with aliases (e.g., gpt-5). Deploy simply via release binaries, Docker, Vercel, or source—edit config.json with your keys/accounts and run. You benefit by accessing DeepSeek affordably through familiar SDKs, saving costs and simplifying integration for apps or testing.

https://github.com/CJackHwang/ds2api

#rust #ai #claude #cli #coding_agent #llm #mcp #openai #rust #terminal #tui

jcode is a fast, low-RAM coding agent for Linux, macOS, and Windows that boosts your skills with multi-session workflows, smart memory recall, swarm collaboration, side panels for diagrams/files, and logins for models like Claude or OpenAI. Install easily via `curl -fsSL https://raw.githubusercontent.com/1jehuang/jcode/master/scripts/install.sh | bash`, then run `jcode`. It uses far less memory (27MB vs. 300MB+ for rivals) and starts in 14ms, letting you handle many agents smoothly without slowdowns or high costs—perfect for efficient, scalable coding.

https://github.com/1jehuang/jcode

#python #academia #anthropic #arxiv #brave #deep_research #encryption #home_automation #homeserver #local #local_deep_research #local_llm #mistral #ollama #openai #pubmed #research #research_tool #retrieval_augmented_generation #searxng #self_hosted

Local Deep Research is a free, open-source AI tool you run locally for private, deep research on any topic. It auto-searches the web, academic papers (arXiv, PubMed), and your documents using LLMs like Ollama or GPT, then synthesizes cited reports in minutes. Install easily via Docker or pip, build an encrypted knowledge base from downloads, and get 95% accuracy. Benefits: total privacy (no tracking), zero cost for local models, customizable strategies, and compounding knowledge—saving hours on complex queries while owning your data.

https://github.com/LearningCircuit/local-deep-research

#javascript #ai_agents #ai_gateway #anthropic #chatgpt #claude #claude_code #cline #codex #copilot #cursor #deepseek #free_ai #gemini #gemini_cli #llm #llm_gateway #openai #openai_proxy #qwen #token_saver

# 9Router//localhost:20128/v1`. You get unlimited coding with zero cost, no downtime, and intelligent fallback routing—perfect for developers who want maximum value from AI without subscription limits or surprise bills.

https://github.com/decolua/9router

#javascript #agent #ai #coding #course #deepseek #gemini #genai #gpt #llm #low_code #mcp #nextjs #no_code #openai #programming #tutorial #vibe_coding #vibecoding #vscode #workflow

# Easy-Vibe: Learn to Build Apps by Speaking

Easy-Vibe is a learning platform that teaches you to create real applications using AI by simply describing what you want. It offers beginner-friendly guides, step-by-step visual tutorials, and interactive coding simulations that make learning feel like having a private tutor. The platform covers everything from your first project to advanced full-stack development, with animated explanations of AI principles and game-like learning for complex topics like data retrieval systems. You benefit by gaining practical skills to turn ideas into working products quickly, whether you're a complete beginner, student, or developer wanting to master AI-assisted coding in the modern era.

https://github.com/datawhalechina/easy-vibe

#python #apple_silicon #inference_server #llm #macos #mlx #openai_api

# oMLX: Run AI Models Faster on Your Mac

oMLX is a tool that lets you run large language models directly on your Mac with Apple Silicon chips. It uses smart memory management—keeping frequently used models in RAM and storing less-used ones on your SSD—so everything runs smoothly without slowdowns. You control everything from a simple menu bar app or web dashboard. It works with many popular AI models and connects easily to coding tools like Claude Code. The benefit is you get powerful AI capabilities locally on your Mac without needing cloud services, saving money and keeping your data private while enjoying fast, responsive performance.

https://github.com/jundot/omlx

#typescript #ai_agent #ai_coding_agent #anthropic #bun #claude #cli #coding_assistant #llm #mcp #multi_provider #openai #rust #terminal #tui #typescript

omp is a coding agent with the IDE built in. It works on macOS, Linux, and Windows, and gives you many tools for reading, editing, searching, debugging, browser use, and subagents. It can use lots of AI providers and model choices, and it is made to work well right away with real coding tasks. The benefit for you is faster, more accurate coding help in one place, with less setup and fewer extra tools.

https://github.com/can1357/oh-my-pi

#jupyter_notebook #gemini #large_language_models #llm #openai #training #transformers

This project shows how to build and train a transformer language model from scratch in PyTorch. It uses the Pile dataset, tokenizes text with tiktoken, and stores tokens in HDF5 files for faster training. The code includes attention, MLP, transformer blocks, training, saving, and text generation. The benefit is that you can learn how LLMs work and train your own small or large model on a single GPU, then use it to generate text for your own tasks.

https://github.com/FareedKhan-dev/train-llm-from-scratch

#python #agent #ai #anthropic #claude_code #compression #context_engineering #context_window #cursor #fastapi #langchain #llm #mcp #openai #prompt_engineering #proxy #python #rag #token_optimization #tokens #typescript

Headroom is a local tool for AI agents that shrinks prompts, logs, files, and chat history before sending them to an LLM, often cutting tokens by 60–95% while keeping the same answer quality. It can work as a library, proxy, MCP server, or agent wrapper, so you can save tokens, speed up workflows, and still recover the original content when needed.

https://github.com/chopratejas/headroom

#python #agent #agentic_ai #ai #claude #copilot #cursor #elevenlabs #ffmpeg #flux #image_generation #open_source #openai #python #remotion #stable_diffusion #text_to_speech #text_to_video #video_generation #video_production

OpenMontage turns a plain idea or even a reference video into a full video production workflow, handling research, script writing, asset creation, editing, captions, and final rendering. Your benefit is faster video creation with lower cost, more control, and fewer surprises, because it can use free/open footage or AI tools, estimate cost first, and check quality before showing you the result.

https://github.com/calesthio/OpenMontage

#csharp #ai #ai_integration #anthropic #claude #copilot #cursor #game_development #gamedev #gemini #llm #mcp #model_context_protocol #openai #unity #unity3d #videogames

MCP for Unity lets you control your Unity Editor using natural language with AI tools like Claude, Cursor, or VS Code. You can create scenes, edit scripts, manage assets, and run tests just by typing prompts. The benefit to you is faster game development because AI automates repetitive tasks, so you spend less time on manual work and more time creating your game. It is free under the MIT license and works with any MCP client.

https://github.com/CoplayDev/unity-mcp

#typescript #a2a #ai_agents #ai_gateway #anthropic #claude #claude_code #cline #codex #copilot #cursor #deepseek #free_ai #gemini #kimi #llm_gateway #mcp #openai #openai_proxy #qwen #token_saver

OmniRoute is a free tool that connects your AI coding apps to 268 providers, including 90+ with free tiers, so you can use top models like Claude or GPT without paying. It automatically switches to another provider if one hits its limit and compresses your requests to cut token usage by up to 95%. You benefit by saving money, avoiding interruptions, and getting unlimited access to powerful AI tools through a single, easy setup.

https://github.com/diegosouzapw/OmniRoute

#go #agentic_coding #ai_gateway #anthropic #claude_code #codex #model_router #openai_compatible

This tool sends your AI requests through one smart local router that chooses the best model for each task and works with Anthropic, OpenAI, Gemini, and other models. It keeps your provider keys on your machine, supports easy setup, and lets you use it with tools like Claude Code, Codex, Cursor, or your own app. The benefit is simpler setup, better model choice, and safer key handling, which can save time and improve results.

https://github.com/workweave/router