HyprStream: agentic infrastructure for continous online-learning applications - 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.
Hyprstream - the open network for self-improving AI, the future of Plan9
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 ...
AGENTS.md
AGENTS.md is a simple, open format for guiding coding agents. Think of it as a README for agents.
Turn 10,994 Notes Into Memory - Paul Iusztin, Decoding AI & Louis-François Bouchard, Towards AI
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.
Karpathy's LLM Wiki as Agent Memory - Agentic AI Foundation (AAIF)
At work, I’m building agents to handle various operational tasks and have found Karpathy’s LLM Wiki design to be an excellent solution for implementing most ty…
New capabilities for building agents on the Anthropic API | Claude
Claude now offers code execution, MCP server connections, file storage, and extended prompt caching through the API—giving developers powerful tools to build agents that analyze data, connect to external systems, and maintain context for longer periods of time.
