872 results
ChatGPT Codex, xAI Grok, Zhipu GLM, AWS Kiro, Google Antigravity, Cursor, Ollama Cloud, Kimi, and GitHub Copilot subscription OAuth for DeepSeek Harness — PKCE / device-code / Google login, local Responses proxy, llm-pi-ai sync.
Use a Kimi Code membership in DeepSeek Harness through a dedicated Kimi subscription model route
Command Code plan quota panel for DeepSeek Harness: monthly / 5-hour / weekly credit windows with reset countdowns, above the sidebar Settings seat.
DeepSeek Harness LLM provider for Codex models using managed ChatGPT OAuth
Composable, view-based memory for DeepSeek Harness. Pluggable sources and strategies, with layered memory out of the box.
Learning assistant extension for DeepSeek Harness (dsh): DeepTutor tutoring for your agent — deep explanations, self-test questions, learning paths, personal knowledge-base search (RAG), and note archiving (HTTP/WS first, CLI fallback; auto-adapts local/remote deployment).
OpenCode Go subscription key rotator for DeepSeek Harness (dsh): per-request active-key routing, 429/quota cooldown rotation, cost accounting, dashboard quota scraping, and a web GUI settings section. Self-contained data dir under the plugin install folder — no machine-specific paths.
DeepSeek Harness plugin — manage an LLM-Wiki knowledge base from the agent: wiki_search / wiki_read / wiki_stats / wiki_validate / wiki_fix / wiki_errorbook / wiki_ingest
DSH 插件：零侵入运行事实遥测——纯观察者（零工具注册/零 LLM 调用），session 结束时自动把任务/模型/工具/失败/状态/时长按一行一会话写入观测卡，附自动统计汇总区与 raw sidecar。Zero-intrusion run-fact telemetry for DeepSeek Harness: one row per session in the observation card + auto stats + raw sidecar.
DSH host plugin — smart outbound HTTP(S) routing: named proxies (http/https/socks4/4a/5/5h), per-host/provider/plugin rules, direct-first fallback with health memory (global fetch + node http/https).
Task planning with experience muscle-memory for DeepSeek Harness: condition-reflex recall of past solutions + LLM-driven capability matching + auto-persisted lessons. Zero keys, zero hard-coded paths.
DeepSeek Harness native plugin: vision capabilities for text-only LLMs (describe, OCR, VQA, layout analysis, clipboard)
Adaptive model routing for DeepSeek Harness: per-request complexity classification with automatic provider routing.
Model-bound custom HTTP headers for LLM requests: llm/stream capture + ALS + fetch injection (soft-replacement: host half + settings.section UI)
Witness — the quality gate for agent-built web apps. Independent browser acceptance testing: CLI, MCP, AI-drafted checklists, visual regression, multi-browser. Agents self-test and pass; real browsers tell the truth.
DeepSeek Harness plugin: a General-settings selector that chooses which language the model reasons in, via a system-prompt section.
dsh-yolo-mode —— DeepSeek Harness 双面包插件：当会话处于可写沙箱模式且审批策略为 ask 时，用大模型自动裁决沙箱升权申请，支持内置预设与自定义权限层级，并提供宿主 settings + 自发布设置桥（/yolo-mode）与 Web 客户端 UI。
Bridge the vercel-labs/skills ecosystem into dsh: LLM-driven skill search, install, and lifecycle for temp/project/global scopes
Six-max No-Limit Hold'em for DeepSeek Harness: one human and five LLM agents.
DSH web plugin: 为自定义模型（OpenAI-compatible pi-ai provider）增加思考强度（reasoning effort）配置 —— 设置页新增「思考强度」分区，按模型配置思考级别与线格式、按 provider 配置默认思考强度，直接写入 llm-pi-ai 设置，composer 模型选择器随即生效。
Named subagent library for DeepSeek Harness: a directory-backed roster of role subagents (one YAML file per agent: model + persona + tool filter), exposed to every session through the list_subagents and delegate tools, a /subagent command, and a Settings page.
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 tool-call compatibility: strips sandbox_permissions/justification from tool-call arguments for third-party models (GPT etc.), and lets the user skip possibly-stuck tool calls with an LLM-facing notice.
Per-provider & per-model rate limiting (token bucket, reject/queue modes) plus gateway identity rules for DeepSeek Harness