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š¦ Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools likā¦
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
Fully Local Manus AI. No APIs, No $200 monthly bills. Enjoy an autonomous agent that thinks, browses the web, and code for the sole cost of electricity. š Official updates only via twitter @Martin9ā¦
Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)
Intelligent automation and multi-agent orchestration for Claude Code
š« Toolkit to help you get started with Spec-Driven Development
Multimodal Assistant. Human Interface for computers.
"DeepCode: Open Agentic Coding (Paper2Code & Text2Web & Text2Backend)"
Type-safe combinatorial CLI parser for TypeScript
This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for reā¦
React UI + elegant infrastructure for AI Copilots, AI chatbots, and in-app AI agents. The Agentic Frontend šŖ
FinRLĀĀ®-Meta: Dynamic datasets and market environments for FinRL.
Streamline deep learning experiments using config files
ClaraVerse is a privacy-first, fully local AI workspace featuring a Local LLM chat powered by LLama.cpp, along with support for any provider, tool calling, agent building, Stable Diffusion, and n8nā¦
[ICLR 2025] Automated Design of Agentic Systems
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Continuous Thought Machines, because thought takes time and reasoning is a process.
mcp-use is the easiest way to interact with mcp servers with custom agents
Build effective agents using Model Context Protocol and simple workflow patterns
Bridge between Ollama and MCP servers, enabling local LLMs to use Model Context Protocol tools
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
FinRLĀ®: Financial Reinforcement Learning. š„
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
Someday these will be an integrated trading system, but not now. So I am sad.