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Shrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with dependency tracking and iterative refinement, enabling agent-like developer behavior in reasoning AI systems.
QuantaAlpha transforms how you discover quantitative alpha factors by combining LLM intelligence with evolutionary strategies. Just describe your research direction, and watch as factors are automatically mined, evolved, and validated through self-evolving trajectories.
Goodable is a local-first Desktop AI Workspace (Desktop Agent Runtime) powered by Claude Agent SDK, combining OS/file control, browser automation, and coding into composable Skills (tool + app modes) to build, run, and publish real AI apps.
Official Implementation of "CLI-Gym: Scalable CLI Task Generation via Agentic Environment Inversion"
A Visual Studio .NET extension that provides a better interface for Claude Code CLI, OpenAI Codex, Cursor Agent, Opencode CLI and Qwen Code with support for multi-line prompts with image or file attachments for high productivity and vibe coding
The minimal AI agent engine
Nano Claude Code - A lightweight AI code agent in Python, inspired by Claude Code and Kimi-CLI. Now you can give it a try and enjoy it plz~~
This is a 6-module, hands-on mini-course for building AI agents using Hugging Face's smolagents library. It targets intermediate-to-advanced practitioners who are comfortable with Python and have basic familiarity with language models.
Lightweight CodeAgent‑based research assistant for the Hugging Face Hub
Autonomous AI trading agent. Claude Sonnet + Bitget USDT futures. Running live with real money.
📋 Manage tasks effectively with this modern React app featuring Kanban and Flow Chart views for streamlined project organization.
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A multi-tool AI agent powered by Hugging Face's SmolAgents framework. Supports joke generation, timezone-based time retrieval, and AI image generation with an interactive Gradio UI.
🕹 Implement deep Q-network variants for Atari games with incremental improvements, enabling research and controlled experiments in deep reinforcement learning.
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