If you build anything that runs for longer than one session, this is an architecture to test. The agent holds its state, the workspace holds its context, and you stop re-explaining from scratch every time. Star the repo and get started https://
github.com/holaboss-ai/ho
laOS/releases
… @Holabossai
SYSTEMS
-
AI Agent Architecture for Persistent State and Context Management
By
–
-
holaOS Beta 0.1 Release Introduces Agent Computer Management Layer
By
–
holaOS has shipped its beta 0.1 release, adding a management layer on top of its Agent Computer foundation: a Dashboard, Sub Agents, and Multi Workspaces. Each workstream gets its own isolated context, memory, and agent.
— 🚨 AI News | TestingCatalog (@testingcatalog) 13 mai 2026
No need to have a reset between sessions. The whole… pic.twitter.com/a7hLGBegADholaOS has shipped its beta 0.1 release, adding a management layer on top of its Agent Computer foundation: a Dashboard, Sub Agents, and Multi Workspaces. Each workstream gets its own isolated context, memory, and agent. No need to have a reset between sessions. The whole
-
AI intelligence depends on inference compute and future models
By
–
probably correct, from @polynoamial
: “with today’s AI models, intelligence is a function of inference compute.” but what about tomorrow’s models? never forget that humans are remarkably
intelligent (though flawed) on a budget of 20 watts. in the long run, new architecture -
Open-Source SDK for Building Custom AI Agents Released
By
–
Now anyone can build their own custom AI agent.
— Nico (@nicos_ai) 13 mai 2026
Cline just open-sourced an SDK for building agents with:
• plugins
• MCPs
• subagents
• web fetch
• cron jobs
• agent teams
• multi-model routing
npm i @cline/sdk https://t.co/aaREgoY28F pic.twitter.com/8B4EGBvaDMNow anyone can build their own custom AI agent. Cline just open-sourced an SDK for building agents with: • plugins
• MCPs
• subagents
• web fetch
• cron jobs
• agent teams
• multi-model routing npm i @cline/sdk -
Anthropic Tests New Model Selector and Connectors for Claude Mobile App
By
–
Anthropic is testing a new model selector for Claude on mobile, moving it directly to the prompt area. > Bottom navigation tabs are being tested as well. > Connectors Discovery is coming to mobile too, where Claude will suggest the best connector for a given task.
-
Governed intelligence infrastructure: beyond self-improving AI
By
–
The market is validating self-improving AI. But the larger category is not only AI that improves AI. It is governed intelligence infrastructure: agents that discover,
validators that prove,
memory that preserves,
governance that controls,
and capability that compounds. -
Do Enterprise Systems Need Learned World Models?
By
–
Do Enterprise Systems Need Learned World Models? The Importance of Context to Infer Dynamics
-
Meta-RL with Rubric-guided Policy Decomposition Research
By
–
RubricEM Meta-RL with Rubric-guided Policy Decomposition beyond Verifiable Rewards
-
The Future of AI Agents: The War Room
By
–
The future of AI agents isn't text. It's a war room.
— AlphaSignal AI (@AlphaSignalAI) 13 mai 2026
Hermes already lets you run a fleet of specialized agents that hand work to each other.
The problem was visibility.
You had to SSH into your machine and grep logs to see what each one was doing.
Orchestration War Room is… pic.twitter.com/lYFiHWyrVWThe future of AI agents isn't text. It's a war room. Hermes already allows you to run a fleet of specialized agents that hand off work to each other. The issue was visibility. You had to SSH into your machine and grep logs to see what each one was doing. Orchestration War Room is…
-
The Impact of Latency on AI Deployment and Business Performance
By
–
Here’s the problem with most AI setups: → Data is sent to the cloud
→ Models process remotely
→ Decisions come back with delay That delay is latency. And in operations, latency slows performance, limits responsiveness, and impacts business value.