3 projects for "token system" with 2 filters applied:

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    Ship Agents Faster

    Transform your applications and workflows into powerful agentic systems at global scale.

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  • 1
    OpenMonoAgent

    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 GPU and is designed to auto-configure itself when possible. OpenMonoAgent.ai is best suited for developers who want a local AI development stack with no API keys, no cloud dependency, and no telemetry.
    Downloads: 12 This Week
    Last Update:
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  • 2
    Oh My OpenCode Slim

    Oh My OpenCode Slim

    Slimmed, cleaned and fine-tuned oh-my-opencode fork

    Oh My OpenCode Slim is a lightweight, optimized fork of the broader oh-my-opencode ecosystem, designed to deliver high-performance multi-agent coding workflows while significantly reducing token consumption and system overhead. It retains the core concept of orchestrating multiple specialized AI agents but streamlines their configuration, execution, and communication to make the system more efficient and practical for everyday use. The framework introduces a structured “pantheon” of agents, each with a defined role such as orchestration, exploration, and execution, allowing tasks to be automatically delegated and completed through coordinated workflows. ...
    Downloads: 3 This Week
    Last Update:
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  • 3
    Claude Cognitive

    Claude Cognitive

    Persistent context and multi-instance coordination

    Claude Cognitive is an advanced memory and context-management extension designed to address the stateless limitations of Claude Code by giving the model a form of persistent “working memory” and multi-instance coordination. It introduces an attention-based context router that prioritizes files and content relevant to the current development discussion — tagging them as HOT, WARM, or COLD based on recency and keyword activation — so Claude Code doesn’t waste token budget rereading irrelevant...
    Downloads: 0 This Week
    Last Update:
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