Open-source alternatives to Agent Of Empires

A lightweight desktop app to manage, sync, and organize AI agent skills across 15+ coding tools — Cursor, Claude Code, Codex, Copilot, and more.

Plug and play AI agents for any domain

Like htop, but for AI coding agents. Monitor Claude Code & Codex CLI sessions, tokens, context window, rate limits, and ports in real-time.

An open-source LLM router that optimize your agent for cost and performance — with every run.

Screenpipe is a local-first platform designed to record, index, and analyze desktop activity. By capturing screen, audio, and keyboard input, it creates a comprehensive and searchable history of computer usage. The system functions as an activity recorder and automation framework, providing a persistent, context-aware memory that allows artificial intelligence agents to observe and interact with local desktop environments. The platform distinguishes itself through a privacy-focused architecture that processes all data locally. It utilizes on-device computer vision and speech recognition to tr

DeepSeek-TUI is an AI coding agent orchestrator and framework designed to automate complex programming tasks. It functions as a harness for coordinating AI models that can read source code, edit files, and execute shell commands through automated agent workflows. The system is distinguished by its multi-agent coordination capabilities, which allow for the spawning of parallel sub-agents to handle concurrent investigations or implementation slices. It employs autonomous goal-seeking loops to pursue objectives across multiple turns and utilizes a tool integration gateway to connect models to ex

Open-source AI agent harness in native Rust — GUI, CLI, headless, and webapp from one binary. Multi-provider, MCP, skills, plugins, agent teams.

A simple TUI for serving local LLM models. Pick a model, pick a backend, serve it

Minimalistic cross-platform mouse jiggler written in Rust.

This project is an automated technical writing tool that functions as a documentation-as-code framework. It parses source code and configuration files to generate structured instructional manuals and operational guides, ensuring that technical documentation remains synchronized with software updates through version control systems. The system utilizes large language model orchestration and static analysis to interpret codebase metadata and system definitions. By applying template-driven logic and context-aware prompt engineering, it transforms raw technical data into consistent, human-readabl

Local proxy that compresses your LLM API requests so you pay less, with no change to the answers. Trims wasted tokens from prompts, history, tool output, and code before they're sent: -31% input / -74% output, measured live. Any provider, no extra model calls. Also an MCP server and embeddable library (Rust, Python, Ruby, Kotlin, Swift).

Secure on device personal agents

A collection of important graph embedding, classification and representation learning papers with implementations.

Machine Learning Yearning book by 🅰️𝓷𝓭𝓻𝓮𝔀 🆖

Aye Chat: AI-powered terminal workspace

A curated list of community detection research papers with implementations.

Reinforcement learning resources curated

Stable Diffusion Web UI is a browser-based interface designed for managing text-to-image generation tasks. It provides a centralized dashboard for controlling generative processes, including native support for multi-stage model architectures to facilitate high-quality image refinement. The platform distinguishes itself through granular control over the generation process, offering tools for precise parameter management and advanced prompt engineering. Users can customize generation styles and capabilities by integrating external model-extension formats, such as textual inversions, low-rank ad

A collection of research papers on decision, classification and regression trees with implementations.

A curated list of data mining papers about fraud detection.

A curated list of gradient boosting research papers with implementations.

FinRL is a financial reinforcement learning framework and quantitative trading library. It provides a specialized system for developing, training, and simulating autonomous agents designed to automate financial trading and portfolio management. The project serves as an automated portfolio optimizer and financial market simulator. It enables the creation of decision-making policies to balance asset allocations, maximize potential returns, and minimize financial risk through reinforcement learning. The framework includes capabilities for financial market data engineering, algorithmic trading s