Showing 4 open source projects for "open claw"

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  • 1
    Lossless Claw

    Lossless Claw

    LCM (Lossless Context Management) plugin for OpenClaw

    Lossless Claw is an advanced context management plugin for the OpenClaw agent ecosystem that redefines how conversational memory is handled in large language model systems. Instead of relying on traditional sliding-window truncation or lossy summarization, it introduces a lossless architecture that preserves all historical messages while maintaining usable context within token limits. The system stores every interaction in a persistent database and incrementally summarizes older content into...
    Downloads: 12 This Week
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  • 2
    Claw Hunter

    Claw Hunter

    MDM-ready scripts for detecting and monitoring OpenClaw

    Claw Hunter is an open-source security tool designed to detect, analyze, and mitigate risks associated with autonomous AI agents, specifically those built on platforms like OpenClaw. As agentic AI systems gain popularity, they introduce a new class of security challenges because they can execute commands, access files, and interact with external systems with minimal human oversight.
    Downloads: 3 This Week
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  • 3
    Claw Compactor

    Claw Compactor

    14-stage Fusion Pipeline for LLM token compression

    Claw Compactor is a utility designed to optimize and manage the context limitations inherent in AI agent systems, particularly those built on OpenClaw-like architectures. It addresses the challenge of finite context windows in language models by compressing or summarizing historical interactions while preserving essential information. The system works by transforming older conversation data into condensed representations that maintain continuity without exceeding token limits. This approach...
    Downloads: 0 This Week
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  • 4
    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...
    Downloads: 2 This Week
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