Write Like It's 1866: LLMs Relearn Telegraphese
Article URL: https://fiveminutesforward.com/post/2026-10-04-telegraph-test/ Comments URL: https://news.ycombinator.com/item?id=49991580 Points: 16 # Comments: 7
Hacker News11 min read
Agent Memory
227 stories
Building a context-aware AI assistant on AgentCore and OpenClaw
Off-the-shelf AI assistants forget you between conversations. This post shows how to build a personal assistant that accumulates context using OpenClaw on Amazon Bedrock AgentCore runtime, with AgentCore memory turning disposable chats into durable, structured knowledge you can retrieve with…
AWS ML Blog16 min read
The 9 Best MCP Memory Servers in 2026, Compared
Coworker AI compares 9 MCP memory servers, from the reference server, Basic Memory and Mem0 to Graphiti, Zep and Cognee: local, hosted or company-wide.
Coworker AI Blog13 min read
AI Cost Optimization: Where the Money Goes and 9 Levers That Cut It
Coworker AI's guide to AI cost optimization: where token and seat spend goes, 9 levers from model routing to prompt caching, and how to measure cost per task.
Coworker AI Blog31 min read
What Is a Context Graph? How It Differs From a Knowledge Graph, and How to Build One
Coworker AI explains the context graph: a knowledge graph plus decision traces and time, how it differs from a knowledge graph, and how to build one.
Coworker AI Blog30 min read
What Is a Context Layer? Context Layer vs Semantic Layer, and How to Build or Buy One
Coworker AI explains the context layer: what it is, how it differs from a semantic layer, RAG and knowledge graphs, and how to build, buy or test one.
Coworker AI Blog29 min read
Vast uses tiered storage to ease AI agent memory demands
AI agent memory is creating new demands on infrastructure as agents run longer sessions and spread across the enterprise. Retaining that context and making it available when needed puts pressure on memory capacity and data movement.
SiliconANGLE4 min read
Introducing Encore × SurrealDB
SurrealDB and Encore make it easier to build production-ready AI applications with durable memory. The integration combines SurrealDB’s vector search, graph relationships and structured data with Encore’s APIs and infrastructure, giving developers a simpler way to build, test and deploy…
SurrealDB Blog3 min read
What agent traces can tell you without an LLM judge
Some agent failures are already in the trace. tracelint proves them on Phoenix OpenInference spans and fails CI, without an LLM judge. The post What agent traces can tell you without an LLM judge appeared first on Arize AI.
Arize AI7 min read
Replay Simulators Explained: How AI Agents Learn From Runs They Already Paid For (2026)
A finished AI agent run is a simulator you can test new strategies inside, for free. Dream-RSI, the Google and DeepMind paper, explained in plain English.
Taskade Blog17 min read
Policy-based access for the agent era
Executive summary AI agents open up new routes to enterprise data, and app-level permissions can't cover all of them. In this article, Cisco engineering leader Greg Laws [https://www.linkedin.com/pulse/policy-based-access-agent-era-greg-laws-zaozc/] walks through how policy-based access keeps data…
PromptQL Blog9 min read
Reflection Beam - 501B-A23B American Open Model
It’s been over a year since Reflection launched with us with big goals on coding (and hinted about their RL approach):
Latent Space10 min read
Hermes Agent Alternatives (2026): 6 Ranked by Setup Time
Looking for a Hermes Agent alternative? Six options compared on setup time, hosting, and cost, including when staying on Hermes is the better call.
BetterClaw Blog11 min read
Manus Cloud Computer Explained: vs OpenClaw (2026)
Manus launched Cloud Computer on April 30: a persistent VM for 24/7 bots and scrapers. Here's how it compares to OpenClaw and BetterClaw for always-on agents.
BetterClaw Blog9 min read
Agent memory vs documentation: which slot a memory plugin fills, and which one the repo does
Memory is what an agent noted and a plugin replays. Documentation is what you wrote, reviewed and committed. How each loads, and what to write down.
Stackness Blog10 min read
How we benchmark AI agents and tools with Harbor and Arize Phoenix
See how Arize uses Harbor and Phoenix to benchmark AI agents, MCP servers, skills, and CLIs in reproducible sandboxes, then inspect traces and annotations. The post How we benchmark AI agents and tools with Harbor and Arize Phoenix appeared first on Arize AI.
Arize Phoenix5 min read
Your Paperclip Org Chart Has a Memory Boundary
Paperclip gives agents an org chart. Hindsight's bankGranularity decides what each agent is allowed to remember about the others.
Hindsight Blog16 min readSpatial Memory Intelligence: Endowing World Models with Understanding-Driven Long-Term Memory
Long-video generation and world models have shown strong potential for interactive entertainment and embodied simulation by predicting future observations conditioned on user actions and historical memory.
arXiv - cs.CV (CV)2 min read
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