blockrunai/awesome-finance-mcp
A curated list of MCP servers for AI finance agents
01 / MACHINE INTELLIGENCE
Models you can run. Agents you can inspect. Tools you can build on.
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CoDA-Bench is a benchmark for code agents on data-intensive tasks. 🎈代码智能体能搞定数据密集型任务吗? - GitHub - ruc-datalab/CoDA-Bench: CoDA-Bench is a benchmark for code agents on data-intensive tasks. 🎈代码智能体能搞定数据密集型任务吗?
One4D: Unified 4D Generation and Reconstruction.
Code of "Show the Signal, Hide the Noise: Spectral Forcing for Pixel-Space Diffusion"
Code and Data for paper "GameCraft-Bench: Can Agents Build Playable Games End-to-End in a Real Game Engine?"
All powerful skills of ClaudeKit.cc!
A Claude Code hook that blocks your prompt until you do your push-ups, counted live via webcam. Random reps, session-persistent debt (no closing the tab to skip), streak stats, and three trigger modes. Your AI works hard, so should you.
LLM inference in C/C++.
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。
Official benchmark reproduction code for the SAG paper
CEO-Bench: Can Agents Play the Long Game? .
OpenAnt from Knostic is the leading open source LLM-based vulnerability discovery product, helping defenders proactively find verified security flaws while minimizing both false positives and false negatives. Stage 1 detects. Stage 2 attacks. What survives is real.
Official repository for NVMOS: Non-Verbal Vocalization Quality Assessment in Speech
Give your agent a shell without giving it the keys to your machine.
🔍 OpenSearch-VL provides a fully open recipe for training strong multimodal deep search agents through high-quality data curation, diverse visual/search tools, and fatal-aware agentic reinforcement learning.
AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation
All the links, books, and creators you need to follow to stay up to date with AI!
Official code for "Do Generative Recommenders Deepen the Information Cocoon? A Closed-Loop Simulation with LLM-Powered Agents"
The official repo for the paper "Externalizing Research Synthesis and Validation in AI Scientists through a Research Harness"
"QUEST: Training Frontier Deep Research Agents with Fully Synthetic Tasks"
High Performance LLM Inference Operator Library.
Advanced local tool for intelligent preparation and selection with graphics for training datasets for Loras (Flux/Qwen/Z-image/SDXL/ etc...)
AI-powered training for Go developers.
enseNova-U1: Unifying Multimodal Understanding and Generation with NEO-Unify Architecture