6 min readBackendFeatured
Durable Execution for Agents with Temporal
Learn how Temporal's durable execution model supports AI agents by providing automatic checkpointing and replay capabilities for resilient workflows.
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Ai Agents
Read 14 articles on Ai Agents by Ashish Srivastava — practical guides covering implementation patterns, security, and production lessons.
14 posts
6 min readDevelopmentFeatured
Computer-Use Agents: Architecture and Limits
Explore the technical architecture of computer-use agents, analyzing how GUI agents and accessibility trees enable browser automation and where their limits lie.
Part 10 · Building AI Agents
6 min readDevelopmentFeatured
Building a Deep Research Agent: Multi-Agent Guide
Learn how to build a deep research agent using multi-agent architectures for automated synthesis and citation management.
6 min readDevelopmentFeatured
Why Your Agent Loops Forever (and Five Fixes)
AI agents often get stuck in infinite loops due to tool failures or poor state management. This article outlines five effective strategies to detect and resolve these issues.
6 min readDevelopment
Forgetting on Purpose: Decay, Conflict, and Consolidation
An examination of intentional forgetting in AI agents, covering memory decay, contradiction resolution, and consolidation strategies for scalable systems.
Part 5 · Agent Memory Systems
6 min readDevelopmentFeatured
Knowledge Graphs as Agent Memory
A technical look at implementing knowledge graph memory for AI agents, focusing on temporal graphs, entity resolution, and practical libraries.
Part 4 · Agent Memory Systems
6 min readDevelopmentFeatured
Long-Term Memory: Episodic, Semantic, and Procedural
A technical breakdown of episodic, semantic, and procedural memory structures in AI agents, helping developers build more effective long-term memory systems.
Part 3 · Agent Memory Systems
6 min readDevelopmentFeatured
Testing and Debugging Non-Deterministic Agents
Learn how to stabilize AI agent workflows by mastering trajectory replay, effective mocking techniques, and debugging strategies for non-deterministic behavior.
Part 7 · Building AI Agents
6 min readDevelopment
Human-in-the-Loop, Approvals, and Safe Side Effects
Learn to implement human-in-the-loop approvals and idempotent side effects to build reliable, auditable AI agents that operate safely in production environments.
Part 6 · Building AI Agents
6 min readDevelopmentFeatured
State Machines and Graphs for Agent Control Flow
Learn to implement reliable agent control flow using state machines and graph architectures, focusing on checkpointing and LangGraph integration.
Part 4 · Building AI Agents
6 min readDevelopmentFeatured
Designing Tools an LLM Can Actually Use
Learn how to design tool interfaces that LLMs can reliably execute, focusing on clear schemas and precise descriptions.
Part 3 · Building AI Agents
6 min readDevelopmentFeatured
The Tool-Calling Loop, Implemented From Scratch
Implementing a tool-calling loop from scratch reveals the mechanics behind AI agents. This guide covers function calling, message history, and the core agent loop.
Part 2 · Building AI Agents
6 min readDevelopmentFeatured
What Makes a Program an Agent? | AI Arch
Defining the boundary between scripted workflows and autonomous AI agents. This article examines the key traits that grant programs independent agency.
Part 1 · Building AI Agents
6 min readSecurityFeatured
ABAC for AI Agents: Securing Autonomous Operations
A technical examination of implementing ABAC for AI agents, covering task-scoped access, delegation patterns, and downscoping strategies for secure autonomous operations.
Part 5 · Attribute-Based Access Control