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Agent Memory & The Context Layer
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Agent Memory From Scratch
Ingest, query, and serve a unified memory from a single database.
Jul 14
•
Paul Iusztin
52
13
7
Your Second Brain Is a Graveyard. Make It Agent Memory.
Turn dead notes into a living LLM wiki your AI agents can query, maintain, and grow
Jul 7
•
Paul Iusztin
and
Louis-François Bouchard
44
12
5
From Harness Lock-In to Portable Context Layer
Build a unified memory (knowledge graph or an LLM wiki) and serve it over MCP servers or skills, so any agent, open or closed, plugs in within minutes.
Jun 30
•
Paul Iusztin
46
16
4
How to Keep Your AI Agent's Knowledge Graph Clean
The resolution, deduplication, and review pipeline that keeps agent memory usable as it grows.
Jun 2
•
Paul Iusztin
38
5
Stop Chasing the Perfect Ontology
Start with a fixed, generic base and extend only when your data demands it.
May 26
•
Paul Iusztin
50
10
6
Inside Neo4j's Agent Memory
The knowledge-graph patterns that turn one-shot conversations into compounding intelligence.
May 19
•
Paul Iusztin
49
3
6
Building Agentic GraphRAG Systems
From knowledge graphs and ontologies to a unified memory as an MCP server for your AI agent.
May 5
•
Paul Iusztin
77
1
10
Karpathy Named It. I Built One on My Notes.
An LLM Knowledge Base over my Obsidian, Readwise, and NotebookLM data. The deep research agent nobody else has access to.
Apr 21
•
Paul Iusztin
75
11
11
Your Agent's Reasoning Is Fine - Its Memory Isn't
Using GraphRAG to build a Production Engineer agent that knows dependencies, incidents, and ownership.
Jan 20
•
Anca Ioana Muscalagiu
68
5
16
How Does Memory for AI Agents Work?
The 4 memory types every AI agent needs
Dec 2, 2025
•
Paul Iusztin
83
8
14
AI Agents: Architect the long-term memory
When to prompt, RAG, fine-tune, or deploy agents. Architecting LLM fine-tuning pipelines.
Jun 21, 2025
•
Paul Iusztin
38
5
Memory: The secret sauce of AI agents
Short vs. long memory vs. agentic RAG
Apr 17, 2025
•
Paul Iusztin
95
7
22
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