
NVIDIA OpenShell Makes Agent Sandboxes a Policy Layer
NVIDIA OpenShell runs autonomous agents in policy-enforced sandboxes: an open-source runtime that moves agent security from prompt rules to infrastructure.
117 articles - page 2 of 10

NVIDIA OpenShell runs autonomous agents in policy-enforced sandboxes: an open-source runtime that moves agent security from prompt rules to infrastructure.

What is OpenClaw? A self-hosted personal AI agent you reach through chat apps. Install, skills and ClawHub, its MCP server, Claude Code use, and Ollama models.

AWS open-sourced Pizza Bot, a local-first inbox for background AI agents. The lesson for builders is the queue, approval, checkpoint, and return-path pattern.

How Herdr went from a solo project to 41,000 GitHub stars and Y Combinator: how agent-aware terminals work and the gap they fill that tmux does not.

Herdr joined Y Combinator weeks after going public. We measured its plugin ecosystem of policy gates, editor bridges and a marketplace to see what it proves.

The OpenClaw GitHub star chart: how a repo created in November 2025 drew a near-vertical line to 387,250 stars, and what that growth did and did not prove.

pi coding agent toolkit deep dive: five packages, branching JSONL session trees, four run modes, and why it refuses to build sub-agents, plan mode or MCP.

Ox Alpha is a free stealth model on OpenCode with 1M context. What is confirmed, where OpenCode and OpenRouter differ on retention, and how to run it.

AutoGPT's playbook for AI pull requests: AGENTS.md placement, enforced PR templates, trigger-phrase skills and a CLA that keep agent-heavy repos reviewable.

EvoX Genesis built a Rust C compiler for $44 in tokens by keeping the project persistent and agents finite-lived. What the design says about agent memory.

LFM2.5-VL-3B is a 3B open-weights vision model from Liquid AI that reads screens, grounds objects and calls tools on a laptop. What shipped and how to run it.

Cactus open-sourced Needle 2, a 45M-parameter agentic LLM in a single 14MB binary that runs a full tool-calling session in 28MB of RAM. 500 tok/s on a Raspberry Pi 5, ESP32-S3 class parts, Apache 2.0. Here is what the benchmarks actually show.
Showing 13-24 of 116 articles

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