51CTO

Agent 编排实战：用 sub-agent + RLM 做一条真实多 agent 工作流

我的体会是：多 agent 编排的难度，80% 在产品设计，20% 在工程实现。工程实现不难——DeepSeek-TUI / Hermes Agent / Claude Code 都提供了完整的 sub-agent 和 RLM API，你只要按文档调就行。 讲完 skill 之后，留言里有人问： "skill 我大概懂了。但 agent 编排这个词我看了很多 ...
GitHub

A Node.js/TypeScript implementation of Recursive Language Models based on the research ...

RLM enables LLMs to process arbitrarily long contexts by treating them as an external environment that can be programmatically explored via a JavaScript REPL. Instead of feeding entire long documents ...
GitHub

Open-Model-Initiative/Omni-RLM

Omni-RLM is a high-performance recursive language model framework that enables AI agents to perform complex reasoning tasks through controlled recursive LLM calls. Built with Zig's zero-cost ...
VentureBeat

MIT’s new ‘recursive’ framework lets LLMs process 10 million tokens without context rot

Recursive language models (RLMs) are an inference technique developed by researchers at MIT CSAIL that treat long prompts as an external environment to the model. Instead of forcing the entire prompt ...
InfoQ

MIT's Recursive Language Models Improve Performance on Long-Context Tasks

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Spencer Judge discusses the architectural ...
eWeek

MIT Just Solved AI’s Memory Problem (And It’s Brilliantly Simple)

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...