FinSight-AI
AI equity research agent with resilient workflows, evidence-grounded RAG, versioned reports, and automated quality evaluation.
AI equity research agent with resilient workflows, evidence-grounded RAG, versioned reports, and automated quality evaluation.
Go library for embedded vector search and semantic embeddings using llama.cpp
Efficient and easy multi-instance LLM serving
Open-source, bring-your-own-key (BYOK) multi-model AI chat client for iOS, Android and the web. One LLM client for OpenAI, Anthropic, Google Gemini, OpenRouter, DeepSeek and ten more providers, plus any OpenAI-, Anthropic- or Gemini-compatible endpoint — Ollama, LM Studio, llama.cpp, vLLM. Local-first, self-hostable, no account. AGPL-3.0.
Autonomous text-to-game pipeline for Godot, powered by Claude Code,Codex,Opencode
AI course notes covering LangChain, LangGraph, Python, and vibe coding.
Adversarial AI bug hunter with auto-fix skill for Claude Code, Cursor, Codex CLI, GitHub Copilot CLI, Kiro CLI, Opencode, Pi Coding Agent, and more. Multi-agent pipeline finds security vulnerabilities, logic errors, and runtime bugs — then fixes them autonomously on a safe branch.
Agent behavior clone for browser using, targeting general GUI using and distributed trajectory collecting.
Collections of skills for building with ElevenLabs
This repository contains different LLM chatbot projects (RAG, LLM agents, etc.) and well-known techniques for training and fine tuning LLMs.
Open-source SaaS framework (React + Firebase + Stripe) with built-in Claude Code AI skills. Auth, billing, teams, and i18n in one command.
Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.
📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. |
CUDA kernels for linear attention variants, written in CuTe DSL and CUTLASS C++.
Build LangGraph agents with large numbers of tools
A highly efficient, secure, and stable application development platform with excellent performance, easy scalability, and deep integration of AI capabilities such as LLM, AI Chat, RAG, and Agents.
Universal LLM Gateway: One API, every LLM. OpenAI/Anthropic-compatible endpoints with multi-provider translation and intelligent load-balancing.
Deliver safe & effective language models
Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.
Use ArXiv ChatGuru to talk to research papers. This app uses LangChain, OpenAI, Streamlit, and Redis as a vector database/semantic cache.
PyTorch Agent Net: reinforcement learning toolkit for pytorch
Data driven agentic landscapes and insights. Produced by Ant Open Source and inclusionAI.
Enable AI to control your desktop, mobile and HMI devices
Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.