19 results
Embedded C/C++ firmware development toolbox — 4 agents, 8 skills covering FreeRTOS, ISR, NVM storage, Keil MDK, ARMCLANG, HardFault, state machines, architecture, LVGL patterns, and claim fact-checking. Ships a native DeepSeek Harness (dsh) bundle that injects the session-start gate into the first model step.
Voice-first session loop for DeepSeek Harness: a composer microphone button with browser/local speech-to-text (Web Speech, FunASR, whisper.cpp), a speak tool for text-to-speech replies (browser, edge-tts, piper), event announcements with mute, and speak-to-interrupt.
DeepSeek vision bridge for the dsh web GUI: route image attachments to a vision model (pi-ai / llama.cpp Qwen3-VL) and continue the conversation with the text description on a text-only LLM (DeepSeek)
DSH plugin: start/stop a local llama.cpp llama-server from the settings → plugins page — two model slots (A/B) with per-slot model-file selection, eight editable launch-parameter groups (text/vision × fast/long × 2 slots), and one shared DSH provider carrying both slots' models with four thinking-effort levels.
Local vision 'eyes' for DeepSeek Harness (DSH): screen tool (capture screen or image -> local OpenAI-compatible VLM description) and ocr tool (Windows built-in OCR, zero model / GPU / cloud).
DeepSeek Harness plugin for local GGUF models without Ollama
DeepSeek Harness plugin: run subagents on a local llama.cpp model via the OpenAI Responses (/v1/responses) protocol, with a subagent delegation skill
Universal local vision bridge tool for DSH: describe/answer questions about images via any OpenAI-compatible local inference framework (llama.cpp / Ollama / LM Studio / vLLM), vision models auto-detected
App-free mobile voice calls with existing DeepSeek Harness sessions
Per-provider concurrency gate for DeepSeek Harness LLM requests
KoboldCpp for DeepSeek Harness - a tool plugin that lets the harness online model hand repetitive text and vision (OCR) labor to a local KoboldCpp (llama.cpp) server.
Local OpenAI-compatible model-server discovery + tiered reasoning-metadata resolution for DeepSeek Harness (dsh).
Embedded C/C++ firmware development toolbox — 4 agents, 7 skills covering FreeRTOS, ISR, NVM storage, Keil MDK, ARMCLANG, HardFault, state machines, architecture, and LVGL patterns. Ships a native DeepSeek Harness (dsh) bundle that injects the session-start gate into the first model step.
Keeps a local model's context at a size the GPU handles well: measured prefill speed, hard ceiling, early compaction for DeepSeek Harness
让用户个人/本地 LLM 接入 DeepSeek Harness：Ollama、KoboldCpp、LM Studio 及任意 OpenAI 兼容端点作为本地冗余算力，本地优先处理一部分信息，难点才交给云端主模型。充分利用本地算力并节省 token。
DeepSeek Harness plugin: one compat_probe tool that probes an OpenAI-compatible base URL and returns a structured protocol card
DeepSeek Harness LLM adapter plugin for a local llama.cpp server over its OpenAI-compatible /v1/chat/completions API.
Probe local model servers (llama.cpp / Ollama) for the real runtime context window and keep llm-pi-ai's contextWindow in sync automatically — tighter before overflow, wider when the server grows. Zero-config profile plugin for DeepSeek Harness.
Voice input for DeepSeek Harness: dictation chunked by pauses and voice messages, each with its own provider fallback chain (Deepgram, Groq, HuggingFace, local whisper.cpp, plus any OpenAI-compatible API of your own).