30 open-source projects similar to andreacasarin/zsh-ask-opencode, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Zsh Ask Opencode alternative.
Xiaozhi-esp32 is an open-source firmware platform designed for building voice-interactive embedded systems on resource-constrained microcontrollers. It functions as an IoT conversational device platform that manages live audio input, speech synthesis, and conversational state transitions to facilitate real-time natural language interaction. The system distinguishes itself by bridging language models with physical hardware through standardized protocols, allowing for the execution of commands on local peripherals or remote smart home services. It utilizes a specialized architecture to coordina
Goose is an autonomous coding assistant and extensible AI agent framework designed to automate software development workflows. It functions as an orchestration engine that can install, execute, and test code, as well as manage local files and shell commands. The platform is model-agnostic, providing a flexible interface to connect with diverse cloud-based or self-hosted large language model providers. It distinguishes itself through a standardized context protocol for integrating external tools and extensions, and a recipe system that allows users to define and repeat complex, multi-step AI w
Let AI agents message, watch, and spawn each other across terminals. Claude Code, Codex, Antigravity CLI, Cursor CLI, OpenCode, Kilo, Pi, Kimi
Lightweight AI agent runtime for Go. Define multi-agent crews in YAML, run them with goroutines and channels, and let the runtime handle scheduling, parallelism, retries, and observability — without leaving the Go ecosystem.
AI agents in Go — Temporal for durable, crash-resilient execution or run in-process with zero setup. OpenAI, Anthropic, Gemini, tools, MCP, A2A, RAG, conversations, AG-UI, streaming, sub-agents & human-in-the-loop.
Agentset MCP Server - Build RAG with Agentic superpowers
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
Machine Learning Yearning book by 🅰️𝓷𝓭𝓻𝓮𝔀 🆖
A list of awesome tools, ideas, prompt engineering tools, colabs, models, and helpers for the prompt designer playing with aiArt and image synthesis. Covers Dalle2, MidJourney, StableDiffusion, and open source tools.
An MCP server that installs other MCP servers for you
OpenCode is a framework for orchestrating autonomous AI agents within development environments. It provides a multi-tiered architecture where primary assistants manage user interaction while specialized subagents handle specific tasks like planning, research, and code generation. The system includes a comprehensive command-line interface for managing these workflows, configuring agent behavior, and defining custom tools or commands through metadata-rich files. The platform features a modular plugin system and extensive integration support, including standardized protocols for connecting local
OCR in Javascript via Emscripten
Zsh plugin that integrates Claude Code CLI into your shell. Chat with Claude and execute AI-generated commands directly from your terminal prompt
acl-release-shield: https://img.shields.io/badge/version-53.1.0-green acl-release: https://github.com/ARM-software/ComputeLibrary/releases/v53.1.0
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 curated list of community detection research papers with implementations.
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.
A collection of important graph embedding, classification and representation learning papers with implementations.
A curated list of Monte Carlo tree search papers with implementations.
Awesome-Pytorch-list
Natural language shell command generator and executor powered by AI
Caffe is a high-performance deep learning framework designed for training and deploying deep neural networks. It functions as a machine learning engine and a convolutional neural network library, providing a C++ backend to accelerate computations on both GPUs and CPUs. The system includes a specialized toolset for computer vision, enabling tasks such as object detection, semantic segmentation, and large-scale image retrieval. It supports the deployment of pre-trained models for image and scene recognition, as well as the ability to fine-tune neural network weights for specialized tasks. The
Fast, local-first web content extraction for LLMs. Scrape, crawl, extract structured data — all from Rust. CLI, REST API, and MCP server.