Showing 4 open source projects for "multi ssh sessions"

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  • 1
    Kimchi

    Kimchi

    Terminal coding agent powered by Kimchi's multi-model orchestration

    Kimchi is a terminal coding agent powered by multi-model orchestration. It is designed to help developers run AI-assisted coding sessions from the command line while coordinating specialized agents, tools, permissions, and project context. The repository includes systems for subagents, task classification, model delegation, MCP integration, web search, web fetching, Language Server Protocol support, authentication, and interactive terminal workflows.
    Downloads: 2 This Week
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  • 2
    Pi Agent

    Pi Agent

    AI agent toolkit: coding agent CLI, unified LLM API, TUI & web UI

    ...Pi also encourages the sharing of real-world AI coding sessions to improve agent performance through practical usage data instead of synthetic benchmarks. With its modular architecture, active open-source community, and support for advanced agent capabilities, Pi provides a comprehensive foundation for building next-generation AI development tools and autonomous c
    Downloads: 13 This Week
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  • 3
    deepclaude

    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...
    Downloads: 1 This Week
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  • 4
    Ante

    Ante

    Ghost in your shell. Ante is a self-contained agent harness

    ...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 providers and can switch between commercial, open-weight, and local models. Multi-agent orchestration lets it spawn and coordinate specialized subagents for larger software tasks. Skills, MCP integrations, persistent memory, resumable sessions, and public benchmark evaluation extend it into a lightweight general-purpose agent harness.
    Downloads: 1 This Week
    Last Update:
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