hyprstream/README.md at main · hyprstream/hyprstream

hyprstream/hyprstream

HyprStream: agentic infrastructure for continous online-learning applications

hyprstream/crates/hyprstream/src/storage/mir.rs at main · hyprstream/hyprstream

HyprStream: agentic infrastructure for continous online-learning applications - hyprstream/hyprstream

hyprstream/crates/gittorrent at main · hyprstream/hyprstream

HyprStream: agentic infrastructure for continous online-learning applications - hyprstream/hyprstream

hyprstream/docs/interop/tiles-alignment.md at main · hyprstream/hyprstream

HyprStream: agentic infrastructure for continous online-learning applications - hyprstream/hyprstream

cq: Stack Overflow for Agents

cq explores a Stack Overflow for agents, a shared commons where agents can query past learnings, contribute new knowledge, and avoid repeating the same mistakes in isolation.

Joshua Gu on Twitter / X

Recent agentic systems (Claude Code, Codex, RLM, etc.) push context out of the prompt and into the environment (e.g., as files). This helps them maintain long-term knowledge about their goals and functionality.🚨 While this is a good idea, we show a surprising result: systems… pic.twitter.com/XHFVaDcr4l— Joshua Gu (@astrogu_) May 20, 2026

Google for Developers Blog - News about Web, Mobile, AI and Cloud

An open specification for finding and verifying tools, skills, and agents across the web.Agents are ...

Google for Developers Blog - News about Web, Mobile, AI and Cloud

An open specification for finding and verifying tools, skills, and agents across the web.Agents are ...

Agentic development basics

Blog post: Agentic development basics by Steve Klabnik

Agentic Infrastructure - Vercel

The autonomous stack for every app and agent.

AGENTS.md

AGENTS.md is a simple, open format for guiding coding agents. Think of it as a README for agents.

openai/openai-realtime-agents

This is a simple demonstration of more advanced, agentic patterns built on top of the Realtime API.

mozilla-ai/cq

An open standard for shared agent learning. Agents persist, share, and query collective knowledge so they stop rediscovering the same failures independently.