v0.3.1 · MIT
Strategic BDI reasoning engine for autonomous AI agents — goal decomposition, utility scoring, risk evaluation, and reactive replanning over PuterVision memory and world models.
v0.8.1 · MIT
DSH适用的Codex风格的思考强度滑块,以及大肥鱼跑步滑块。Codex-style model and reasoning-effort slider for DeepSeek Harness
v0.5.2 · MIT
Third-party provider reasoning-effort AND input-modality settings for DeepSeek Harness: thinking levels and image-input support declared per model, auto-adapted from a model knowledge base + wire-protocol inference, edited right inside the official Models
v0.3.1 · MIT
Strategic BDI reasoning engine for autonomous AI agents — goal decomposition, utility scoring, risk evaluation, and reactive replanning over PuterVision memory and world models.
v1.0.0 · MIT
Structured reasoning methodologies from history's most rigorous thinkers, packaged as Claude Code skills.
v0.3.4 · no license
A calmer reading view for DeepSeek Harness: native process details, live reasoning, and clean final answers.
v0.7.3 · MIT
Claude Code plugin: universal radial-tree exploration engine. One tree skill + swappable presets (brainstorm / attack / design / code-audit) for divergent ideation, adversarial critique, and design-space exploration. 12 framings × hard-ban-on-incomplete-leaves × stable convergence.
v0.2.0 · no license
Fable 5.1 solution tracing. Prompting skills so Opus, Sonnet, Haiku, Grok, Gemini and open-weight models work like Fable 5.1
— · MIT
Plan, apply and roll back changes to a production ontology, with a blast radius report and a proof an auditor can re-check.
v0.3.3 · MIT
dsh-routing-suite — injector + router-standard kit: install the runtime injector first, then the task-aware reasoning-mode router preset (measured P1-P23).
v0.1.0 · MIT
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
v0.23.2 · MIT
Import conversation history from 25+ AI coding agents into DeepSeek Harness as resumable sessions — tool calls, reasoning and results kept intact, with reverse export and sync. | 把 25+ AI 编程 Agent 的聊天记录导入 DeepSeek Harness 继续对话,保留工具调用、推理与结果,支持反向导出与同步。
v0.12.2 · MIT
Command Code provider plugin for DeepSeek Harness (dsh). Adds Command Code model access, live model catalog, plan-aware model selection, reasoning effort, image input, web search, and multi-account support.
v0.23.2 · MIT
Import conversation history from 25+ AI coding agents into DeepSeek Harness as resumable sessions — tool calls, reasoning and results kept intact, with reverse export. | 把 25+ AI 编程 Agent 的聊天记录导入 DeepSeek Harness 继续对话,保留工具调用、推理与结果,支持反向导出。
— · Apache-2.0
J-Space Cognition Suite — a model-agnostic inference-time control suite for deep reasoning, long-horizon work, verification, and recovery. Based on Anthropic's J-space global workspace research.
v2.9.0 · MIT
Vibe Check is a tool that provides mentor-like feedback to AI Agents, preventing tunnel-vision, over-engineering and reasoning lock-in for complex and long-horizon agent workflows. KISS your over-eager AI Agents goodbye! Effective for: Coding, Ambiguous Tasks, High-Risk tasks
v1.0.21 · MIT
Shrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with dependency tracking and iterative refinement, enabling agent-like developer behavior in reasoning AI systems.
v1.2.0 · no license
🌋 Build AI agents that seamlessly combine LLM reasoning with real-world actions via MCP tools — in just a few lines of TypeScript.