Agentic DesignPatterns and tools for production AI agents

Loading...

📊

Buffer of Thoughts(BoT)

Maintains a dynamic buffer of reusable thought patterns for analogical reasoning

Complexity: highReasoning Techniques

In 30 seconds

What: Stores reusable reasoning patterns from past problems, then retrieves and adapts analogous patterns when solving new problems.
When to use: Complex reasoning tasks where similar problem structures recur across domains and analogical transfer can accelerate solution discovery.
Watch out: Buffer quality degrades if patterns are too generic or domain-specific; irrelevant analogies waste compute and mislead reasoning.

Loading technique guide…

Patterns

Loading...

Loading Agentic Design…

Agentic DesignPatterns and tools for production AI agents

Expert help Pricing

Design Patterns & Techniques

Loading...

📊

Buffer of Thoughts(BoT)

Maintains a dynamic buffer of reusable thought patterns for analogical reasoning

Complexity: highReasoning Techniques

In 30 seconds

What: Stores reusable reasoning patterns from past problems, then retrieves and adapts analogous patterns when solving new problems.
When to use: Complex reasoning tasks where similar problem structures recur across domains and analogical transfer can accelerate solution discovery.
Watch out: Buffer quality degrades if patterns are too generic or domain-specific; irrelevant analogies waste compute and mislead reasoning.

30-Second Overview

Pattern: Thought-augmented reasoning that collects diverse approaches in a buffer, distills patterns, and creates reusable templates

Why: Builds reasoning expertise over time by learning from diverse thought processes and creating reusable knowledge structures

Key Insight: Generate diverse thoughts → Buffer storage → Distill patterns → Create templates → Apply to new problems

Quick Implementation

1Thought Collection:Generate diverse reasoning thoughts & approaches

2Buffer Storage:Store thoughts in structured buffer memory

3Distillation:Extract key insights and patterns from buffer

4Template Creation:Create reusable reasoning templates

5Application:Apply distilled knowledge to new problems

Example: Problem → Generate many thoughts → Store in buffer → Distill patterns → Create templates → Apply

Do's & Don'ts

✅Encourage diverse and creative thought generation

✅Implement efficient buffer storage and retrieval

✅Focus distillation on actionable insights

✅Create templates that generalize across problems

✅Update buffer with new successful reasoning patterns

❌Fill buffer with redundant or low-quality thoughts

❌Skip the distillation step (raw thoughts ≠ knowledge)

❌Create overly specific templates without generalization

❌Ignore buffer capacity limits (memory overflow)

❌Use stale templates without updating from experience

When to Use

Use When

• Problems requiring creative reasoning approaches
• Domains where experience accumulation helps
• Multi-step reasoning with reusable patterns
• When building reasoning expertise over time
• Complex problem-solving requiring diverse perspectives

Avoid When

• Simple, one-off reasoning tasks
• Domains with well-established procedures
• Memory-constrained environments
• Real-time applications requiring immediate response
• Problems with no reusable reasoning patterns

Key Metrics

Thought Diversity

Variety and creativity of generated reasoning approaches

Distillation Quality

Effectiveness of pattern extraction from buffer

Template Reusability

Success rate of applying templates to new problems

Buffer Efficiency

Storage utilization vs reasoning performance

Knowledge Transfer

Improvement in similar problem-solving over time

Reasoning Innovation

Discovery of novel solution approaches

Top Use Cases

Research Methodology: Collect research approaches → Buffer strategies → Distill best practices → Create methodology templates

Creative Problem Solving: Generate solution ideas → Store in buffer → Extract patterns → Build innovation frameworks

Code Architecture: Collect design patterns → Buffer approaches → Distill principles → Create architecture templates

Strategic Planning: Gather strategic thoughts → Buffer insights → Extract frameworks → Build planning templates

Learning System: Accumulate reasoning examples → Buffer successful approaches → Distill learning patterns → Create educational templates

References & Further Reading

Deepen your understanding with these curated resources

Academic Papers

Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models (Yang et al., 2024)

Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models (Wei et al., 2022)

Tree of Thoughts: Deliberate Problem Solving with Large Language Models (Yao et al., 2023)

Implementation Guides

LangChain Memory Systems for Thought Storage

OpenAI Advanced Reasoning with Memory

Microsoft Semantic Kernel: Memory and Planning

Tools & Libraries

LangChain ConversationBufferMemory

Chroma Vector Database for Thought Storage

Pinecone: Vector Memory for AI Applications

Community & Discussions

LangChain Discord - Memory Patterns

OpenAI Developer Forum - Advanced Memory

r/MachineLearning - Reasoning and Memory

Hugging Face Forums - Memory-Augmented Models

Loading technique guide…

Patterns

Design Patterns & Techniques

Loading...

30-Second Overview

Pattern: Thought-augmented reasoning that collects diverse approaches in a buffer, distills patterns, and creates reusable templates

Why: Builds reasoning expertise over time by learning from diverse thought processes and creating reusable knowledge structures

Key Insight: Generate diverse thoughts → Buffer storage → Distill patterns → Create templates → Apply to new problems

Quick Implementation

1Thought Collection:Generate diverse reasoning thoughts & approaches

2Buffer Storage:Store thoughts in structured buffer memory

3Distillation:Extract key insights and patterns from buffer

4Template Creation:Create reusable reasoning templates

5Application:Apply distilled knowledge to new problems

Example: Problem → Generate many thoughts → Store in buffer → Distill patterns → Create templates → Apply

Do's & Don'ts

✅Encourage diverse and creative thought generation

✅Implement efficient buffer storage and retrieval

✅Focus distillation on actionable insights

✅Create templates that generalize across problems

✅Update buffer with new successful reasoning patterns

❌Fill buffer with redundant or low-quality thoughts

❌Skip the distillation step (raw thoughts ≠ knowledge)

❌Create overly specific templates without generalization

❌Ignore buffer capacity limits (memory overflow)

❌Use stale templates without updating from experience

When to Use

Use When

• Problems requiring creative reasoning approaches
• Domains where experience accumulation helps
• Multi-step reasoning with reusable patterns
• When building reasoning expertise over time
• Complex problem-solving requiring diverse perspectives

Avoid When

• Simple, one-off reasoning tasks
• Domains with well-established procedures
• Memory-constrained environments
• Real-time applications requiring immediate response
• Problems with no reusable reasoning patterns

Key Metrics

Thought Diversity

Variety and creativity of generated reasoning approaches

Distillation Quality

Effectiveness of pattern extraction from buffer

Template Reusability

Success rate of applying templates to new problems

Buffer Efficiency

Storage utilization vs reasoning performance

Knowledge Transfer

Improvement in similar problem-solving over time

Reasoning Innovation

Discovery of novel solution approaches

Top Use Cases

Research Methodology: Collect research approaches → Buffer strategies → Distill best practices → Create methodology templates

Creative Problem Solving: Generate solution ideas → Store in buffer → Extract patterns → Build innovation frameworks

Code Architecture: Collect design patterns → Buffer approaches → Distill principles → Create architecture templates

Strategic Planning: Gather strategic thoughts → Buffer insights → Extract frameworks → Build planning templates

Learning System: Accumulate reasoning examples → Buffer successful approaches → Distill learning patterns → Create educational templates

References & Further Reading

Deepen your understanding with these curated resources

Academic Papers

Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models (Yang et al., 2024)

Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models (Wei et al., 2022)

Tree of Thoughts: Deliberate Problem Solving with Large Language Models (Yao et al., 2023)

Implementation Guides

LangChain Memory Systems for Thought Storage

OpenAI Advanced Reasoning with Memory

Microsoft Semantic Kernel: Memory and Planning

Tools & Libraries

LangChain ConversationBufferMemory

Chroma Vector Database for Thought Storage

Pinecone: Vector Memory for AI Applications

Community & Discussions

LangChain Discord - Memory Patterns

OpenAI Developer Forum - Advanced Memory

r/MachineLearning - Reasoning and Memory

Hugging Face Forums - Memory-Augmented Models

Buffer of Thoughts (BoT) - Agentic Design