Technical Blog — AI Agents, Blockchain & Infrastructure

Designing Agent Architecture with Memory: A Framework from Anthropic's Patterns and LangGraph's Primitives

Anthropic defines how to structure agent workflows. LangGraph provides the memory primitives. Nobody connects the two. This post does — a practical design framework for matching each Anthropic agent pattern to the right LangGraph memory architecture.

2026-05-18 · 16 min read

Adding Memory to Production AI Agents: Mem0, Zep, and LangMem Compared

Your LangGraph agents forget everything the moment a session ends. Here's how to fix it — a production guide to agent memory architectures, Mem0 vs Zep vs LangMem benchmarks, token cost reduction, and GDPR compliance.

2026-05-17 · 13 min read

Production Agent Memory: Compaction, Decay, and the Observation Engine

Most agent memory systems store facts and retrieve them. Production memory does more: it learns behavioral patterns, promotes them to rules, compacts history without losing signal, and scores retrieval with tier-aware decay. Here's the full architecture.

2026-05-08 · 19 min read

How Much Does It Cost to Build an AI Agent? A Developer's Breakdown

Real cost breakdown of building AI agents — LLM API pricing, infrastructure, vector stores, and development time from 4 production agents.

2026-04-03 · 8 min read

GDPR-Compliant AI: Building Guardrails for EU AI Act Readiness

How to build AI systems that comply with GDPR and the EU AI Act — PII filtering, human-in-the-loop, audit logging, data minimization, and LangChain guardrails middleware.

2026-04-02 · 8 min read

How to Build a SaaS with AI Agents: Architecture for Founders

A practical architecture guide for founders building AI-powered SaaS — from agent design and multi-tenancy to billing, deployment, and the build-vs-buy decisions that matter.

2026-03-22 · 7 min read

Prompt Engineering for Production: Beyond ChatGPT Tricks

Production prompt patterns that go beyond tips and tricks — system prompt architecture, structured output, few-shot calibration, context engineering, and prompt versioning with LangSmith.

2026-03-10 · 9 min read

MCP (Model Context Protocol): Connecting AI Agents to Real Tools

Practical guide to MCP — connecting AI agents to tools, databases, and APIs. Covers primitives, FastMCP servers, tool annotations, elicitation, and security.

2026-02-14 · 9 min read

Tokenizing Real Estate on Algorand: A MiCA-Compliant Architecture

Building BitBricks — fractional real-estate tokenization on Algorand with MiCA compliance, ASA RBAC, ARC-20 Smart ASA, and KYC-gated whitelisting.

2025-12-15 · 7 min read

LangSmith in Production: Observability, Evaluation, and Debugging AI Agents

How to use LangSmith for production AI agent observability — tracing, cost tracking, offline and online evaluation, dashboards, alerts, and the feedback loop that makes agents improve over time.

2025-11-22 · 6 min read

Building AI Agents with LangGraph: From Prototype to Production

Production-ready AI agents with LangGraph — durable execution, multi-agent orchestration, interrupt-based human-in-the-loop, and the @task pattern.

2025-09-18 · 6 min read

Building RAG Pipelines That Actually Work: GraphRAG vs Vector RAG in Production

Vector RAG vs GraphRAG for production — chunking strategies, retrieval architectures (2-Step, Agentic, Hybrid), document grading, and query rewriting.

2025-06-10 · 8 min read