Showing 4 open source projects for "self-contained"

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  • 1
    Moltis

    Moltis

    A Rust-native claw you can trust

    Moltis is an open-source personal AI assistant platform written in Rust that is designed to run as a fully self-hosted, local-first agent environment. It compiles the entire assistant stack, including the web interface, model routing, memory, and tools, into a single self-contained binary with no external runtime dependencies. The system supports multiple large language model providers alongside local models, enabling users to maintain privacy while still accessing cloud capabilities when needed. ...
    Downloads: 0 This Week
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  • 2
    Buzz

    Buzz

    A hive mind communication platform

    Buzz is a self-hostable collaboration workspace where human teammates and AI agents work together in the same channels. It records messages, reactions, workflow steps, approvals, and Git activity as cryptographically signed Nostr events in a shared log. The platform includes channels, threads, direct messages, canvases, media sharing, full-text search, and a tamper-evident audit trail.
    Downloads: 16 This Week
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  • 3
    ZeroClaw

    ZeroClaw

    Fast, small, and fully autonomous AI assistant infrastructure

    ZeroClaw is a Rust-native autonomous AI agent framework engineered for teams and developers who need highly efficient, secure, and modular AI automation infrastructure that can run reliably in both production and self-hosted environments. It is designed around a trait-based architecture so that model providers, communication channels, memory systems, and tooling integrations can be swapped or extended without rewriting core components, giving engineers flexibility and long-term maintainability. The framework features a compact single binary with fast cold and warm startup times and very low memory overhead, making it suitable even for resource-constrained hardware like small servers or edge devices. ...
    Downloads: 9 This Week
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  • 4
    AgentENV

    AgentENV

    Distributed platform for running agent environments at scale

    ...The platform includes an aenv command-line interface for creating templates, starting shells, executing commands, and managing sandbox lifecycles. Its E2B-compatible HTTP API lets existing Python and TypeScript integrations target a self-hosted deployment with minimal changes. AgentENV is designed for high-density agentic reinforcement learning and currently requires trusted-network deployment because built-in authorization is not yet available.
    Downloads: 0 This Week
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