TMAS Scaling Test-Time Compute via Multi-Agent Synergy
AGENTS
-
Claude Code introduces Agent View for managing parallel AI sessions
By
–
🆕 Claude Code just dropped Agent View — and it's a big deal for devs running parallel AI sessions 👇
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 12 mai 2026
Instead of managing 10 terminal tabs, you now get ONE dashboard to:
▪️Launch & background agents
▪️See what's working, waiting, or done
▪️Reply inline or jump into full sessions… pic.twitter.com/40WD7u84oYClaude Code just dropped Agent View — and it's a big deal for devs running parallel AI sessions Instead of managing 10 terminal tabs, you now get ONE dashboard to:
Launch & background agents
See what's working, waiting, or done
Reply inline or jump into full sessions -
The Shift from Chat to Action in Enterprise AI Agents
By
–
Enterprise AI is moving from chat to action. ServiceNow’s new Action Fabric matters because it gives AI agents governed ways to execute workflows, not just read data. That is the real test for 2026:
Can your agents act with permissions, auditability, and policy guardrails? -
Implementing long-term memory for AI agents
By
–
顺便说下，这个长期记忆用的是 @evermind 😎 https://t.co/ID2FwO43wn
— 艾略特 (@elliotchen100) 12 mai 2026By the way, this long-term memory uses @evermind
-
DeepSeek-TUI: A Terminal-Based Coding Agent for DeepSeek Models
By
–
Hmbown/DeepSeek-TUI: Coding agent for DeepSeek models that runs in your terminal Project: https://
github.com/Hmbown/DeepSee
k-TUI/tree/main
… Our report: https://
mp.weixin.qq.com/s/A7ATOoYGBWwf
1dpV9GIevw
… -
Open-Source DeepSeek TUI AI Agent Released for Terminal Workflows
By
–
Hunter Bown (a.k.a. "Whale Bro") open-sourced DeepSeek TUI, a terminal-native AI agent built in Rust specifically for DeepSeek V4. It turns your terminal into an AI workstation where you chat, edit files, run shell commands, manage tasks, and even coordinate sub-agents—all with
-
The Impact of Prompt Caching on LLM Agentic Workflows and Costs
By
–
Prompt caching didn't even exist until <2 years ago Google: June 2024
Anthropic: August 2024
OpenAI: October 2024 Now for agentic workflows, 95% of tokens gets cached, without it the costs would be completely insane -
GPT 5.5 Excels with Broad Goals and AI Agents
By
–
You can keep the goal pretty broad and the agent is smart enough to figure out how to tackle that. GPT 5.5 is doing a pretty good job so far.
-
Preparing for the future of AI Agents and Continual Learning
By
–
In 2024 I tried to tell everyone how to prepare for Agents Last month I tried to tell everyone how to prepare for Continual Learning Get ready