Local Ai
DeepAgents Sandbox — a lightweight native Linux sandbox for deepagents It gives full isolation for safely running LLM/agent-generated code —…
DeepAgents Sandbox — a lightweight native Linux sandbox for deepagents It gives full isolation for safely running LLM/agent-generated code — no Docker, no VMs, no cloud dependency. Super fast and secu
DeepAgents Sandbox — a lightweight native Linux sandbox for deepagents It gives full isolation for safely running LLM/agent-generated code — no Docker, no VMs, no cloud dependency. Super fast and secure, with a ready-to-use LangChain-style adapter. Opened an issue proposing it as a native local sandbox backend for DeepAgents: https://github.com/langchain-ai/deepagents/issues/2882 Repo: https://github.com/john221wick/deepagents-sandbox Would love your thoughts! @LangChain_OSS @hwchase17 @LangChain @LangChain_JS #LangChain #AIagents #DeepAgents I built deepagents-sandbox — a native Linux sandbox backend for Deep Agents. No Docker. No VM. Agents get a writable /workspace, blocked network by default, memory/PID limits, and timeout enforcement. It uses bubblewrap + cgroups v2 to isolate agent code execution with resource l…
Related
- I built deepagents-sandbox — a native Linux sandbox backend for Deep Agents. No Docker. No VM. Agents get a writable /workspace, blocked net…
- Built a local 3-agent coding system (Architect/Executor/Reviewer) with qwen3-coder:30b + Ollama + OpenCode – here's what actually works and what doesn't
- Inside the Scaffold: A Source-Code Taxonomy of Coding Agent Architectures
- Local LLM and Cloud API Together.
Source: Harrison Chase (X) | 2026-04-24