Context Engineering and Memory
What a model sees decides what it does. These posts cover context engineering: managing the context window, giving agents memory, retrieval, and the harness code that keeps long tasks coherent. Expect concrete patterns from teams running agents for hours at a time.
- Memory-Aware Agent Harnesses for Anti-Money Laundering - Nacho Martinez, Oracle
- Stop Rationing Tokens: Let the Harness Pick the Model - Kimchi by Cast AI
- Stop Renting Your AI's Memory - Dylan Couzon, Qdrant
- Scale the Judgment, Not the Model - Andrew Orobator, Reddit
- 'Beating RL With Reflection: GEPA and Optimize Anything - Lakshya A. Agrawal, GEPA'
- 'From Ingestion to Agents: How AI Teams Build on Document Intelligence - Adit Abraham, Reducto'
- The Dark Arts of Skill Engineering - Paul Bakaus, Renaissance Geek (Impeccable)
- What's New in Inference Engineering - Philip Kiely, Baseten
- Stop Chunking Like It's 2022 - Yuval Belfer, AI21 Labs
- Total Recall: Agent Memory and Harness Engineering - Ignacio Martinez, Oracle
- Connect AI to Billions of Legal Documents - Simon Eskildsen, turbopuffer & Jacob Lauritzen, Legora
- Tolan: Voice-First AI Companion - Paula Dozsa, Tolan
- 'No Memory, No Harness: Why the Database Is the Last Line of Defense - Kay Malcolm, Oracle'
- The Spatial Harness: Bringing Agents to the Canvas - Max Drake, tldraw
- 'Your agents lack context: Here''s how to fix "You''re absolutely right!" - Brandon Waselnuk, Unblocked'
- It’s Tokens All The Way Down: How RLMs are Different - Kevin Madura, AlixPartners
- 'Agents'' next frontier: agent-to-agent and network effects - Jean-Denis Greze, Town'
- 'Einstein Arena: Harnessing Collective Agent Intelligence for Open Science
- 'Your Fine-Tuned Model Is Tech Debt: A 50x ROI House of Cards - Dan Bjornn, Lease End'
- Local Models: Trust, Control, Optimization - Carter Abdallah, NVIDIA
- 'AI on Your Lakehouse: Context Comes in Shapes, Not Queries - Zach Blumenfeld, Neo4j'
- Active Graph Agent Runtime (BabyAGI 4) - Yohei Nakajima, Untapped Capital
- Don't Let the LLM Drive - Ornella Bahidika & Joel Allou, Microsoft
- On AI and Knowledge - Pablo Castro, Distinguished Engineer & CVP for AI Knowledge, Microsoft
- 'Stop AI Agent Hallucinations: 5 Techniques + Production Patterns - Elizabeth Fuentes, AWS'
- 'Design Patterns for AI Trust: Juries, Libraries, and Agent Tiers - Alex Bauer, Upside.tech'
- 'Beyond the Harness: A Journey Towards Adaptative Engineering - Rajiv Chandegra, Annicha Labs'
- What if the harness mattered more than the model? - Aditya Bhargava, Etsy
- Respect The Process - Andrew Dumit, Watershed Technology Inc.
- 'WF2026: Autoresearch & Keynotes ft. Anthropic, Google DeepMind, Amazon AGI, Sonar, Arena, Recursive'
- 'WF2026: Software Factories & Keynotes ft. Microsoft, OpenAI, OpenClaw, Z.ai (GLM), MiniMax, HF'
- 'Bypassing the Multimodal Tax: Hybrid RAG, SQL RRF & UI Telemetry - Abed Matini, Ogilvy'
- 'The Miranda Hypothesis: How Hamilton Poisoned Persona Evals - Jacob E. Thomas, Results Gen'
- RAG is dead, right?? — Kuba Rogut, Turbopuffer
- 'Road to 5 Million Tokens: Breaking Barriers in Long Context Training — Max Ryabinin, Together AI'
- Why More Context Makes Your Agent Dumber and What to Do About It — Nupur Sharma, Qodo
- Dynamic Workflows: How Claude Writes Its Own Harness
- How I deleted 95% of my agent skills and got better results — Nick Nisi, WorkOS
- Why your agents need decision traces, not just documents — Zach Blumenfeld, Neo4j
- Context Graphs for Explainable, Decision-Aware AI Agents — Andreas Kollegger & Zaid Zaim, Neo4j
- Anthropic Just Dropped a Masterclass on Building Agent Harnesses (for Large Codebases)
- Stop babysitting your agents... — Brandon Waselnuk, Unblocked
- Fast Models Need Slow Developers — Sarah Chieng, Cerebras
- Gemini Nano on device — Florina Muntenescu & Oli Gaymond, Google DeepMind
- Build Agents That Run for Hours (Without Losing the Plot) — Ash Prabaker & Andrew Wilson, Anthropic
- Let's go Bananas with GenMedia — Guillaume Vernade, Google DeepMind
- Harnesses in AI: A Deep Dive — Tejas Kumar, IBM
- AIE Singapore Day 2 ft. Google DeepMind, OpenClaw, Adaption, Arize, Cloudflare, Robot Company & more
- Connecting the Dots with Context Graphs — Stephen Chin, Neo4j
- Viktor: AI Coworker That Lives in Slack — Fryderyk Wiatrowski
- How we solved Context Management in Agents — Sally-Ann Delucia
- Give Your Chat Agent a Voice — Luke Harries, Head of Growth, ElevenLabs
- Agentic Search for Context Engineering — Leonie Monigatti, Elastic
- 'Playground in Prod: Optimising Agents in Production Environments — Samuel Colvin, Pydantic'
- Vibe Engineering Effect Apps — Michael Arnaldi, Effectful
- 'Demand-Driven Context: A Methodology for Coherent Knowledge Bases Through Agent Failure'
- The Small Model Infrastructure Nobody Built (So We Did) — Filip Makraduli, Superlinked
- Context Is the New Code — Patrick Debois, Tessl
- Human-in-the-Loop Automation with n8n — Liam McGarrigle
- Let LLMs Wander: Engineering RL Environments - Stefano Fiorucci
- Harness Engineering: How to Build Software When Humans Steer, Agents Execute - Ryan Lopopolo, OpenAI
- MCP = Mega Context Problem - Matt Carey
- Claude Code With No Rate Limits
- Local AI Coding Workflow
- Best Ways to Use OpenClaw
- Notebook LM as a second brain
- OpenClaw: AGI is here
- Complete Agentic RAG masterclass
- Diffusion: What is Diffusion?
- Ralph Wiggum Loop Results: Autonomous AI Coding for 8 Hours Straight
- Prompt Enhancement Through Learning Loop
- Shipping AI That Works
- Inside Claude Code Architecture and Building Better AI Coding Agents