Reasoning & Memory
How models think, remember, and retrieve information. Reasoning tokens, RAG pipelines, context engineering, and the memory architectures that make agents useful.
Key Guides
Latest Signals
- The NHS Bet on AI Triage Is Bigger Than Anyone Admits
- Chain-of-Thought Prompting Doesn't Always Work. Here's the Evidence.
- Robots With Reasoning: When Language Models Meet the Physical World
- The Lobster in the Machine: Why OpenClaw is More Than Just Another AI Framework
- The Prompt Engineering Ceiling: Why Better Instructions Won't Save You
From the team behind Swarm Signal
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Knowledge Graphs for AI Agents: Beyond Vector Search
Vector databases power most retrieval-augmented generation systems in production today. They're fast, simple, and good enough for single-hop lookups...
Obsidian's CLI Turns Your Second Brain Into an API
title: "Obsidian's CLI Turns Your Second Brain Into an API"
The RAG Reliability Gap: Why Retrieval Doesn't Guarantee Truth
In early 2024, Stanford researchers ran a straightforward experiment. They took enterprise legal AI tools, products marketed with terms like...
The NHS Bet on AI Triage Is Bigger Than Anyone Admits
A single GP surgery in Surrey cut patient waiting times by 73% in four months. Not by hiring more doctors. Not by extending hours. By letting an AI decide...
Chain-of-Thought Prompting Doesn't Always Work. Here's the Evidence.
Think step by step. It's the most common prompt engineering advice in circulation, repeated in tutorials, baked into system prompts, and treated as a...
Robots With Reasoning: When Language Models Meet the Physical World
A robot arm completing 84.9% of manipulation tasks without a single demonstration. Not through months of reinforcement learning or massive datasets of...
The Lobster in the Machine: Why OpenClaw is More Than Just Another AI Framework
OpenClaw, which went viral in late January 2026 after a few name changes (you may have known it as Clawdbot or Moltbot), is not just another AI assistant....
The Prompt Engineering Ceiling: Why Better Instructions Won't Save You
On GPT-4o, structured prompting boosts performance from 93% to 97%. On GPT-5, OpenAI's frontier model, that same sophisticated prompting strategy...
guide_context-window-management-guide.md
Claude Opus 4.6 scores 76% on MRCR v2 at 1 million tokens. Gemini 3 Pro drops to 26.3%. Bigger windows don't solve the context problem — they change it. Research-backed strategies for chunking, compression, and retrieval.
RAG Pipelines Are Silently Dropping Context
Your RAG pipeline retrieves the right documents. The LLM ignores half of them. The RAG-E framework found generators skip the top-ranked passage in 47-67% of cases. The retrieval-utilization gap is the real bottleneck.