Search Results for "linux" - Page 2
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Showing 62 open source projects for "linux"
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Happy Coder
Mobile and Web client for Codex and Claude Code, with realtime voice
Happy is an open-source, cross-platform mobile and web client designed to bring powerful AI coding agents such as Claude Code and Codex to your fingertips no matter where you are. At its core, Happy wraps existing AI coding tools with a unified interface, providing real-time voice interactions, encrypted communication, and seamless device switching between desktop and mobile. You can start a coding session locally through the Happy CLI or connect from a phone or browser, allowing developers... -
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Ornith-1.0
Ornith-1.0 is a self-improving open-source models for agentic coding
Ornith-1 is an open-source family of agentic coding models from DeepReinforce AI. It is designed for coding agents that need to solve software engineering tasks through iterative tool use and solution rollouts. The project presents 9B dense, 31B dense, 35B mixture-of-experts, and 397B mixture-of-experts variants. These models are post-trained on top of Gemma 4 and Qwen 3.5 foundations. Its training approach uses reinforcement learning to optimize both the solution and the scaffold that... -
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MiniMax-M2.1
MiniMax M2.1, a SOTA model for real-world dev & agents.
MiniMax-M2.1 is an open-source, state-of-the-art agentic language model released to democratize high-performance AI capabilities. It goes beyond a simple parameter upgrade, delivering major gains in coding, tool use, instruction following, and long-horizon planning. The model is designed to be transparent, controllable, and accessible, enabling developers to build autonomous systems without relying on closed platforms. MiniMax-M2.1 excels in real-world software engineering tasks, including... -
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pool
pool is Poolside’s coding agent that runs in your terminal
pool is Poolside’s coding agent for terminal and editor-based development workflows. It can run as a standalone interactive terminal app, as an ACP server for compatible editors, as an ACP client connected to another agent server, or non-interactively through command execution. The tool supports slash commands, file and directory fuzzy search, shell mode, message rewind, and configurable approval modes. It integrates with open agent specifications such as AGENTS.md, Skills, MCP, and ACP,... -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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GSD Pi
Development system that enables agents to work for long periods
GSD Pi is a local-first coding agent for planning, implementing, verifying, and tracking software project work from the command line. It is built for developers who want an AI-assisted workflow that can handle structured tasks rather than only single chat prompts. The project emphasizes spec-driven development, context engineering, and longer autonomous work sessions. It helps users break ideas into plans, manage execution steps, verify results, and keep track of progress across a project.... -
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Letta Code
The memory-first coding agent
Letta Code is a memory-first CLI coding agent built on the Letta platform that offers developers a persistent AI assistant capable of learning and improving over time rather than resetting state each session, giving agents a sense of continuity and context across coding tasks. Unlike traditional session-based coding tools, Letta Code attaches a long-lived agent to a working directory so that the agent accumulates memory about a project’s structure, preferences, and history, effectively... -
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Superset LLM
Run an army of Claude Code, Codex, etc. on your machine
Superset is a development environment and terminal-based platform designed to orchestrate multiple AI coding agents simultaneously within a single workspace. The tool enables developers to run many autonomous coding agents in parallel without the typical overhead of manually managing multiple terminals, repositories, or branches. Each agent task is isolated in its own Git worktree, ensuring that code changes from different agents do not interfere with each other while allowing developers to... -
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deepclaude
Use Claude Code's agent loop with DeepSeek V4 Pro, OpenRouter & more
deepclaude is a lightweight proxy tool that enables developers to run Claude Code’s autonomous coding agent loop using alternative AI backends like DeepSeek V4 Pro, OpenRouter, or other Anthropic-compatible models. It preserves the full Claude Code experience—including file editing, terminal execution, and multi-step agent workflows—while dramatically reducing operational costs. By swapping out the underlying model instead of the interface, deepclaude delivers the same familiar UX with... -
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Forge Code
AI enabled pair programmer for Claude, GPT, O Series, Grok, Deepseek
Forge is a modern, open-source tool that brings AI-powered code assistance directly into your terminal workflow, effectively turning your shell into a “pair programmer”, without ever leaving your development environment. Written in Rust (with a command-line interface), Forge integrates with your existing shell (bash, zsh, fish, etc.) or IDE-agnostic workflows, allowing you to interact with your codebase, command-line tools, and version control as usual, but with the added support of large... -
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10
OpenMonoAgent
Terminal-native coding agent powered by local LLMs
OpenMonoAgent.ai is a self-hosted coding agent designed to run entirely on the user’s own hardware. It pairs a .NET CLI with a local llama.cpp inference server so developers can use agentic coding workflows without cloud subscriptions or per-token billing. The project emphasizes privacy, local control, and ownership of the model, compute, and project data. It includes a terminal-native workflow, built-in tools, Docker sandboxing, and code intelligence features. The system can run on CPU or... -
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Ante
Ghost in your shell. Ante is a self-contained agent harness
Ante is a self-contained terminal coding agent written in Rust and designed to work with many AI models rather than one vendor. It ships as a roughly 15 MB binary with no external runtime dependencies. Users can work through an interactive terminal interface, headless commands, a server protocol, or Slack and Discord gateways. A built-in inference engine can run GGUF models entirely offline without an account, API key, or internet connection. Ante also supports more than a dozen hosted... -
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VT Code
VT Code - semantic AI coding agent
VTCode is a terminal-based AI coding agent designed to provide semantic code understanding and interactive assistance directly within a command-line environment. It is implemented in Rust and focuses on performance, portability, and deep integration with developer workflows that rely on terminal tools. The system leverages syntax-aware parsing technologies such as tree-sitter and AST-based analysis to understand code structure rather than relying solely on raw text, which enables more... -
13
Nanocoder
A beautiful local-first coding agent running in your terminal
Nanocoder is an open-source, local-first coding assistant that runs in the command line and allows developers to use AI models to assist with programming tasks directly from their terminal environment. The tool is designed as a privacy-focused alternative to proprietary AI coding assistants, allowing users to run local models or connect to external APIs while keeping full control over their data and development workflow. Built with TypeScript and distributed as a CLI application, nanocoder... -
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Aden Hive
Outcome driven agent development framework that evolves
Hive is an open-source agent development framework that helps developers build autonomous, reliable, self-improving AI agents by letting them describe goals in ordinary natural language instead of hand-coding detailed workflows. Rather than manually defining execution graphs, Hive’s coding agent generates the agent graph, connection code, and test cases based on your high-level objectives, enabling outcome-driven agent creation that fits real business processes. Once deployed, agents can... -
15
Fulling
Full-stack Engineer Agent. Built with Next.js, Claude, shadcn/ui
...The platform provides a sandboxed workspace where developers can build complete applications with the help of an integrated AI coding agent. Instead of manually configuring development environments, the system automatically provisions the required infrastructure including a Linux environment, database services, and development tools. It integrates an AI pair programmer that can generate code, implement features, and assist with debugging tasks through natural language instructions. The environment also includes web-based terminals, file management tools, and version control capabilities to support collaborative software development workflows. ... -
16
claurst
Your favorite Terminal Coding Agent, now in Rust
claurst is an experimental AI agent framework that appears to focus on structured reasoning and task execution within coding or automation environments. The project likely explores how agents can be designed to handle complex workflows through modular components and clearly defined execution steps. It may include abstractions for managing context, decision-making, and interaction with external tools, enabling agents to perform multi-step tasks efficiently. The architecture suggests a focus... -
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SmallCode
AI coding agent optimized for small LLMs. 87% benchmark
SmallCode is a terminal-native AI coding agent optimized for local models running on consumer hardware. It is designed to extract useful coding performance from smaller LLMs, especially models in the 7B to 20B range. The project focuses on making local coding assistance practical without requiring massive cloud-hosted models for every task. Its workflow is built around terminal usage, which makes it suitable for developers who prefer command-line control and local project context. smallcode... -
18
GoDex
AI coding agent
GoDex is a developer-focused tool designed to enhance code exploration and understanding through AI-assisted workflows. It provides an interface that allows users to analyze codebases, generate insights, and interact with code using natural language queries. The system is built to improve productivity by reducing the time required to understand complex projects or unfamiliar code structures. It integrates with language models to provide contextual explanations, summaries, and suggestions.... -
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AI Memory
Solution for long term memory for agent coding CLIs
AI Memory provides persistent long-term memory for AI coding agents so work can continue across sessions and even across different agent vendors. It captures sanitized lifecycle observations automatically through hooks instead of requiring agents to write notes manually. Session activity is consolidated into a plain-Markdown project wiki stored in Git. When a new session begins, the agent receives a bounded handoff containing relevant context, failed approaches, and open questions. Optional... -
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Codey
The home for Codey releases, updates, and the developer community
Codey Community is the public release, documentation, and collaboration hub for Codey, an AI coding agent built for terminal-first development. Codey combines a fast keyboard-driven TUI with a cross-platform desktop app for developers who want AI assistance close to their coding workflow. It can help read, write, refactor, and inspect code while also running commands and coordinating multi-step engineering tasks. The project uses the Model Context Protocol to connect agent workflows with... -
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Gajae-Code
Gajae Code MVP
Gajae-Code is an experimental coding-agent harness focused on structured planning, reviewable execution, and durable verification. It runs beside existing tools rather than hiding inside a specific agent runtime, so users can apply it to a chosen repository or isolated worktree. The workflow is built around clarifying requirements, planning before mutation, turning approved plans into goals, and tracking evidence until completion. It includes tmux-backed execution options for coordinating... -
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RunVSAgent
Run VSCode-based coding agents and extensions seamlessly
RunVSAgent is a cross-platform development tool that lets VS Code-based coding agents and extensions run inside JetBrains IDEs and other IDE environments. It is designed to bridge the VS Code agent ecosystem with editors such as IntelliJ IDEA, WebStorm, PyCharm, PhpStorm, CLion, GoLand, Rider, Android Studio, and more. The project uses a Kotlin-based JetBrains plugin, a Node.js extension host, an editor bridge, and RPC communication to provide VS Code API compatibility outside VS Code. It... -
23
AutoBE
AI Vibe Coding Agent of TS backend server
AutoBE is an AI backend builder that turns natural-language requirements into a working TypeScript backend application. It analyzes what the user wants, creates specifications, designs database structure, defines API documentation, writes end-to-end tests, and generates implementation logic. The project is aimed at moving from prototype to production more quickly while keeping generated code buildable and verifiable. It uses an agentic workflow supported by compiler-friendly checks and test... -
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ByteRover CLI
The portable memory layer for autonomous coding agents
ByteRover CLI is a portable memory layer for autonomous coding agents. It gives developers a way to store, organize, and reuse project knowledge across coding tools and sessions. The project centers on a context tree that can capture important information about a codebase, decisions, patterns, and instructions. It can run as an interactive command-line experience and connect to an LLM of the user’s choice. ByteRover is useful when agents need persistent context instead of starting from... -
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LazyCodex
The one and only agent harness for complex codebases
LazyCodex is an agent harness for using Codex on complex software projects. It is designed to add structure around AI coding sessions through memory, planning, execution, verification, skills, hooks, routing, and diagnostics. The project helps developers move beyond one-off prompts by giving the agent a more organized workflow inside a codebase. It supports project memory so context can persist across sessions and decisions do not need to be repeatedly reintroduced. LazyCodex also emphasizes...
