pgmi-builds/dashr

README 摘要

Dashr: RLM Plugin for dsh ⚡ Quick Install Alternative: dsh Plugin CLI ( npm ) After installation, launch dsh web and select the RLM Mode agent preset. 📖 Overview DeepSeek Harness ( dsh ): Everything is a plugin (万物皆插件, Cordis framework). Prime Agent: RLM paradigm (递归自调用), Context as variables (上下文即变量). Why not both? That's dsh in RLM mode — that's Dashr . Dashr is an open-source plugin for the DeepSeek Harness ( dsh ) agent runtime. It brings RLM（Recursive Language Models：递归自调用） and the Context as Variables（上下文即变量） paradigm to dsh , registering a dedicated rlm-mode agent preset upon installation. Instead of paying massive token costs on every round-trip tool call in standard multi-turn chat, Dashr equips the agent with a stateful, persistent Python kernel（持久化内核） . The agent writes self-contained Python programs per cell, manipulating context, tools, and memory as native variables via the Python Kernel Unified Tool Calling（统一的代码化工具调用） . 💡 RLM（Recursive Language Models：递归自调用） Reference: Recursive Language Models (MIT/Stanford/Open MIND, 2025, arXiv:2512.24601) 1. Context Scaling Up to 100x : 250K context LLMs effectively process 10M+ token inputs beyond physical context windows whi…

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