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TranslatedDeepSeek Harness 破甲 (Pojia, "armor breaking") (mirror of YuJunZhiXue/dsh-purge) — The upstream is about to delete the repository; this is a full mirror of it: includes all branches, 73 tags, and the complete commit history. For the original author's attribution and requirements for secondary development, see the attribution section of the README.

TranslatedNo ROOT and no Termux needed: run DeepSeek Harness on your phone. Full Ubuntu environment + proroot with zero ptrace overhead · AI output shown on screen in real time · direct ADB connection · no data loss

Infrastructure for the next generation of voice agents, designed to provide universal memory. It is divided into a left brain and a right brain, storing information and emotions respectively, while a fully streaming architecture eliminates latency at the fundamental level.

🤖 Open-source, local-first alternative to Grok Bot, OpenAI dots and Claude Duet. Your own AI bots on any model: GPT, Claude, Gemini, Grok, DeepSeek, Kimi, GLM and 70+ more through one Modelflare key. Reach them in the app, WeChat or Feishu; they remember you, work in the background, run commands and use your computer. Pay per use.

Ephemeral Workspaces, durable shared history. LayerFS gives every agent a complete, writable filesystem Workspace over shared committed history, without copying the base. Agents work in parallel, commit what changed as deduplicated checkpoints, then branch, rewind or merge. Try it with LayerFS × DSH.

  • agent-infrastructure
  • ai-agents
  • checkpoint
  • content-addressable-storage

Serve large Qwen models fast on the GPUs you actually own. Qwen3.8-27B on a single 24 GB card with vLLM: 127 tok/s single-user (381 when the answer quotes the prompt), ~1,035 tok/s at 64 concurrent, 150k-262k context. vLLM patches, requant pipeline, benchmarks.

Run GLM-5.3-Flash (321B), DeepSeek-V4.1-Flash (748B) and MiniMax-M3.1-Flash (428B) on your own GPUs - one engine, one dashboard, OpenAI- and Anthropic-compatible API.

✏️ LaRecipe lives inside your Laravel app. Your coding agents write the docs and update them with every change. People get a fast, beautiful site; agents get Markdown, llms.txt and MCP.

🛡️ BLA (Blind LLM Agents) — Adversarial defense shield that protects binaries, Electron apps, JS bundles, Python, and WebAssembly against AI reverse-engineering agents like REA. Poison -> Exhaust -> Hallucinate.