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Ranked signal · finite reading
One shared ranking. Scan what changed, save what matters, and stop when the finish line appears.
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OpenWiki generates and maintains codebase documentation so coding agents can find the repo context they need without loading everything into one instruction file. Context & related coverage →
MiniMax-M3 : Added support for the new MiniMax-M3 model , with a fast follow-on of BF16/FP8 indexer via MSA , MXFP4 support , FP8 sparse GQA , and extensive... · DeepSeek-V4 keeps maturing : Following its debut, DeepS... Context & related coverage →
Release: llm-coding-agent 0.1a0 Another Fable 5 experiment. Now that my LLM library has evolved into more of an agent framework it's time to see what a simple coding agent would look like built on it. I started a new... Context & related coverage →
Elastic open-sourced Atlas, a system built on Elasticsearch that maintains three categories of memory for agents. Atlas integrates with agents via MCP and maintains per-user isolation of memories. When evaluated on qu... Context & related coverage →
Evaluating long-running, stateful agents needs a new kind of runner. Here's how Deep Agents, LangSmith sandboxes, and observability plug into Harbor. Context & related coverage →
shot-scraper video is a new command introduced in today's shot-scraper 1.10 release which accepts a storyboard.yml file defining a routine to run against a web application and uses Playwright to record a video of that... Context & related coverage →
Memory for a long-horizon LLM agent is a contract about what each future decision is allowed to see. The simplest contract appends past observations, tool calls, and reflections to every prompt, which makes prior cont... Context & related coverage →
Conventional reinforcement learning strategies for visual generation typically employ sample-wise reward functions, yet this practice frequently results in reward hacking that degrades image diversity and introduces v... Context & related coverage →
Our most agentic Sonnet yet, with top-tier intelligence for coding and everyday professional work. Context & related coverage →
The Vercel Chief of Software explains how its agent framework, eve, was created — and why skills, sandboxes and agent-readable websites now matter. Context & related coverage →
Cassie Shum discusses the architectural evolution of GraphRAG and why data foundations are critical for advanced AI workflows. She explains how traditional vector RAG falls short when addressing global context, multi-... Context & related coverage →