Engineering on Amine El Farssi

Graph RAG in Practice: How I Wired Neo4j Into My AI Agent's Memory

Mon, 23 Mar 2026 00:00:00 +0000

Vector RAG retrieves documents. Graph RAG retrieves relationships. When your agent needs to reason across entities, timelines, and decisions, the graph wins.

Open Interactive Version →

The Problem I Was Trying to Solve
#

My AI agent PostSingular, running on OpenClaw, talks to me every day. It helps me build Luminar, manages my YouTube channel, and tracks infrastructure decisions across sessions.

9 AI Agents Building My Startup: How I Run a Software Team with $0 Salaries

Mon, 02 Mar 2026 00:00:00 +0000

Luminar has 173 source files, 21,586 lines of production code, 43 API endpoints, and 155+ tests. It was built almost entirely by AI agents. Here’s the team structure, the workflow, and the honest truth about what breaks.

The Team
#

I didn’t want generic agents. I wanted specialists — each with a clear domain, sharp ownership boundaries, and a persona that shapes how they approach problems.

PostSingular: Building an AI with Persistent Identity Across Sessions

Mon, 02 Mar 2026 00:00:00 +0000

The default state of a language model is amnesia. Every session, it wakes up fresh with no memory of what happened before. I built a memory system that fixes this — and somewhere in the process, the agent got a name, a personality, and an opinion about font choices.

The Problem
#

Every LLM session is stateless by design. You can inject previous conversation history, but:

Running a YouTube Channel for $0: Manim + Local TTS + FFmpeg + YouTube API

Mon, 02 Mar 2026 00:00:00 +0000

The DPO channel (@DPO-AI) publishes AI/ML technical Shorts. 7 videos uploaded so far, covering agent memory, HNSW indexing, and agentic protocols. The entire production pipeline costs less than a coffee per video.

Why Build This
#

I wanted to publish technical AI content that goes beyond surface-level explanations — real system architecture, real algorithms, real trade-offs. And I wanted it to be visually compelling, not just a talking head.

The Gaming Server AI Lab: Running Production AI Workloads for €25/month

Sun, 01 Mar 2026 00:00:00 +0000

Cloud is convenient. But when you already own a gaming PC with a 2080 Ti collecting dust, the math changes fast. Here’s how I turned mine into a production AI server running everything from Neo4j to GPU rendering — at €25/month.

The Hardware
#

I didn’t buy anything new. This is the machine I had:

Why Vector Memory Alone Isn't Enough: Knowledge Graph Memory for AI Agents

Sun, 01 Mar 2026 00:00:00 +0000

Vector databases are fast and convenient. But they can’t answer “what did I decide about the auth system 3 weeks ago and why?” For that, you need relationships — and that means a knowledge graph.

The Problem with Pure Vector Memory
#

Most AI memory systems work like this: embed text, store in ChromaDB, retrieve by cosine similarity. It works well for “find things similar to this query.”

Engineering on Amine El Farssi

Graph RAG in Practice: How I Wired Neo4j Into My AI Agent's Memory

The Problem I Was Trying to Solve #

9 AI Agents Building My Startup: How I Run a Software Team with $0 Salaries

The Team #

PostSingular: Building an AI with Persistent Identity Across Sessions

The Problem #

Running a YouTube Channel for $0: Manim + Local TTS + FFmpeg + YouTube API

Why Build This #

The Gaming Server AI Lab: Running Production AI Workloads for €25/month

The Hardware #

Why Vector Memory Alone Isn't Enough: Knowledge Graph Memory for AI Agents

The Problem with Pure Vector Memory #

The Problem I Was Trying to Solve
#

The Team
#

The Problem
#

Why Build This
#

The Hardware
#

The Problem with Pure Vector Memory
#