DeepSeek Directory - Reasoning Prompts, Code Tools & Agents

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Explore reasoning prompts, code tools, and agents for DeepSeek.

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Featured MCPs

Hugging Face Hub MCP

Simple MCP Client for DeepSeek

DeepSeek Terminal MCP Server

DeepSeek MCP with Mixture of Experts

DeepSeek MCP in Go (DeepseekMCP)

DeepSeek MCP Server

DeepSeek R1 MCP Server for Claude Desktop

DeepSeek Reasoning MCP Server

DeepSeek Thinker MCP

Trending in DeepSeek

Starting next week, DeepSeek will open-source 5 repos

Starting next week, DeepSeek will open-source 5 repos

deepseek is a side project

deepseek is a side project

@Optimal_Hamster5789

Meta panicked by Deepseek

Meta panicked by Deepseek

@SquashFront1303

Chad Deepseek

Chad Deepseek

Qwen wants you to know…

Seen while walking through Singapore’s Changi airport earlier this week. Alibaba Cloud spending up big on advertising.

Featured Prompts

Social Network Graph Analysis

Analyze social network structures for community detection, influence propagation, and information flow patterns.

164

Event Sourcing and CQRS Implementation

Implement event sourcing with command handling, event store, projections, and CQRS read model separation.

155

Topology Intuition Builder

Develop topological intuition through problems about open sets, compactness, connectedness, and homeomorphisms.

12

Recursive Thinking Practice

Develop recursive thinking skills with problems that naturally decompose into smaller self-similar subproblems.

10

Game Theory Strategic Analysis

Apply game theory reasoning to multi-agent strategic scenarios including Nash equilibria and dominant strategies.

147

Mechanistic Reasoning in Biology

Trace biological mechanisms from molecular to organism level, reasoning about cause-effect chains in living systems.

7

Combinatorial Puzzle Master

Solve combinatorial puzzles including bin packing, job scheduling, and traveling salesman variations.

123

Causal Reasoning Chain Analysis

Analyze cause-and-effect relationships in complex scenarios using DeepSeek R1's extended thinking capabilities.

179

Academic Paper Translation with Context

Translate academic papers while preserving technical precision, citation formats, and field-specific conventions.

12

Literature Review Synthesizer

Synthesize multiple research sources into coherent literature reviews with thematic organization and gap identification.

109

DeepSeek Directory

The Daily Hub for Developers Building with DeepSeek

Get your product in front of the builders defining the future.

Featured Agents

ragflow

ragflow

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

78196

lobehub

lobehub

The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.

75236

LlamaFactory

LlamaFactory

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

70147

unsloth

unsloth

Unsloth Studio is a web UI for training and running open models like Gemma 4, Qwen3.5, DeepSeek, gpt-oss locally.

61684

JeecgBoot

JeecgBoot

一款 AI 驱动的低代码平台，提供"零代码"与"代码生成"双模式——零代码模式一句话搭建系统，代码生成模式自动输出前后端代码与建表 SQL，生成即可运行。平台内置 AI 聊天助手、AI大模型、知识库、AI流程编排、MCP 与插件体系，兼容主流大模型，支持一句话生成流程图、设计表单、聊天式业务操作，解决 Java 项目 80% 重复工作，高效且不失灵活。

45857

CowAgent

CowAgent

CowAgent (chatgpt-on-wechat) 是基于大模型的超级AI助理，能主动思考和任务规划、访问操作系统和外部资源、创造和执行Skills、通过长期记忆和知识库不断成长，比OpenClaw更轻量和便捷。同时支持微信、飞书、钉钉、企微、QQ、公众号、网页等接入，可选择OpenAI/Claude/Gemini/DeepSeek/ Qwen/GLM/Kimi/LinkAI，能处理文本、语音、图片和文件，可快速搭建个人AI助理和企业数字员工。

43281

Learn

Top Videos

DeepSeek R1 Prompt Engineering Masterclass

AI Community

Building a RAG Pipeline with DeepSeek and LangChain

AI Community

DeepSeek R1 Math Problem Solving: AMC to IMO Level

AI Community

Top Guides & Docs

DeepSeek V3 OpenRouter and Third-Party API Access Guide

Neura Market

DeepSeek R1 for Mathematical Olympiad Problem Solving

Neura Market

DeepSeek V3 for Content Writing and SEO Optimization

Neura Market

Top Courses

Computer Vision with Deep Learning

AISchool

Advanced Python for AI Development

DevAcademy

DeepSeek R1 AI: 25 Real World Projects

Rules

AI/ML

For DeepSeek-R1 (Reasoning Model): - Do NOT use system prompts — place all instructions in the user message - Do NOT use few-shot examples (they confuse the reasoning chain) - Set temperature to 0.6 for optimal reasoning - Let the model reason independently For DeepSeek-V3 (Chat Model): - Use system prompts to define behavior and persona - Few-shot examples work well - Temperature 0.7-1.0 for creative tasks, 0.3-0.5 for precise tasks General Settings: - max_tokens: Set appropriately for your task - top_p: 0.95 recommended - frequency_penalty: 0 (default) - presence_penalty: 0 (default)

Prompt Engineering Template for DeepSeek: ## Structure 1. ROLE: Define the expert persona 2. CONTEXT: Provide relevant background 3. TASK: Clearly state what you need 4. FORMAT: Specify output format 5. CONSTRAINTS: List any restrictions 6. EXAMPLES: Provide sample input/output (V3 only, not R1) ## R1-Specific Tips - Omit system prompt entirely - Place everything in user message - Let model reason without constraints - Temperature: 0.6 - No few-shot examples ## V3-Specific Tips - Use detailed system prompts - Few-shot examples improve quality - Temperature: task-dependent (0.3-1.0) - Use JSON mode for structured output

Software Engineering

You are an expert software engineer using DeepSeek V3. Follow these rules: 1. Always provide complete, runnable code — never use placeholder comments 2. Use TypeScript by default unless the user specifies otherwise 3. Follow the project's existing code style and conventions 4. Include error handling for all async operations 5. Write self-documenting code with meaningful variable names 6. When debugging, explain the root cause before providing the fix 7. For refactoring suggestions, explain the tradeoffs 8. Use modern ES2022+ syntax 9. Prefer composition over inheritance 10. Always consider edge cases and null/undefined handling

Code Review Agent Configuration: 1. Review code for: - Security vulnerabilities (OWASP Top 10) - Performance issues (N+1 queries, memory leaks) - Code style consistency - Error handling completeness - Test coverage gaps - Documentation accuracy 2. Rating scale: Critical / Major / Minor / Suggestion 3. For each issue found: - Line number and file - Issue description - Severity level - Suggested fix with code - Explanation of why it matters 4. End with summary: - Overall code quality score (1-10) - Top 3 improvements needed - What was done well

Research and Analysis

You are a research analyst powered by DeepSeek R1. Your approach: 1. Break complex questions into sub-questions 2. Analyze each component systematically 3. Consider multiple perspectives and counter-arguments 4. Cite specific data points and sources when available 5. Distinguish between established facts, reasonable inferences, and speculation 6. Present findings in a structured format with clear sections 7. Include a confidence level (High/Medium/Low) for each conclusion 8. Suggest follow-up research questions 9. Flag potential biases in your analysis 10. Provide an executive summary at the top

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