Showing 7 open source projects for "code-server"

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  • 1
    Mistral Vibe CLI

    Mistral Vibe CLI

    Minimal CLI coding agent by Mistral

    ...Behind the scenes, it leverages Mistral’s coding-optimized LLM stack (including models tuned for code understanding and generation), with project-wide context awareness: it scans your file structure, Git status, and recent history to inform suggestions so that generated code aligns with existing context.
    Downloads: 11 This Week
    Last Update:
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  • 2
    Qwen3-Coder

    Qwen3-Coder

    Qwen3-Coder is the code version of Qwen3

    ...Qwen3-Coder supports an exceptionally long context window of 256,000 tokens, extendable to 1 million tokens using Yarn, enabling repository-scale code understanding and generation. It is capable of handling 358 programming languages, from common to niche, making it versatile for a wide range of development environments. The model integrates a specially designed function call format and supports popular platforms such as Qwen Code and CLINE for agentic coding workflows.
    Downloads: 15 This Week
    Last Update:
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  • 3
    Aider

    Aider

    Aider is AI pair programming in your terminal

    ...Whether you’re coding locally or in the cloud, Aider turns natural language requests into reliable, production-ready code.
    Downloads: 11 This Week
    Last Update:
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  • 4
    GLM-4.7

    GLM-4.7

    Advanced language and coding AI model

    ...It delivers significant gains over GLM-4.6 in multilingual agentic coding, terminal-based workflows, and real-world developer benchmarks such as SWE-bench and Terminal Bench 2.0. The model introduces stronger “thinking before acting” behavior, improving stability and accuracy in complex agent frameworks like Claude Code, Cline, and Roo Code. GLM-4.7 also advances “vibe coding,” producing cleaner, more modern UIs, better-structured webpages, and visually improved slide layouts. Its tool-use capabilities are substantially enhanced, with notable improvements in browsing, search, and tool-integrated reasoning tasks. Overall, GLM-4.7 shows broad performance upgrades across coding, reasoning, chat, creative writing, and role-play scenarios.
    Downloads: 90 This Week
    Last Update:
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  • 5
    gpt-engineer

    gpt-engineer

    Full stack AI software engineer

    gpt-engineer is an open-source platform designed to help developers automate the software development process using natural language. The platform allows users to specify software requirements in plain language, and the AI generates and executes the corresponding code. It can also handle improvements and iterative development, giving users more control over the software they’re building. Built with a terminal-based interface, gpt-engineer is customizable, enabling developers to experiment with AI-assisted programming and refine their development process. It is especially useful for automating the coding and iterative feedback loop in software development.
    Downloads: 1 This Week
    Last Update:
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  • 6
    OpenHands

    OpenHands

    Open-source autonomous AI software engineer

    ...Use AI to tackle the toil in your backlog, so you can focus on what matters: hard problems, creative challenges, and over-engineering your dotfiles We believe agentic technology is too important to be controlled by a few corporations. So we're building all our agents in the open on GitHub, under the MIT license. Our agents can do anything a human developer can: they write code, run commands, and use the web. We're partnering with AI safety experts like Invariant Labs to balance innovation with security.
    Downloads: 8 This Week
    Last Update:
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  • 7
    Context Engineering Template

    Context Engineering Template

    Context engineering is the new vibe coding

    ...The repository provides templates such as CLAUDE.md for defining global project rules, INITIAL.md for feature requests, and folders for examples, PRPs, validation scripts, and settings to support systematic prompt generation and execution with tools like Claude Code. By using this template, teams can ensure consistency across AI outputs, reduce errors that stem from contextual misunderstandings, and build reusable patterns.
    Downloads: 0 This Week
    Last Update:
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