BoxAgnts introduced three new capabilities for its agent system: Skill templates for knowledge reuse, Agent sub-agents for task decomposition, and Cron scheduling for automated execution. Skills are M…
BoxAgnts has developed a multi-provider adaptation layer and agent query loop to solve API incompatibility across AI vendors. The system introduces three abstraction layers—unified data models, an Llm…
BoxAgnts has built a local-first AI agent runtime using Rust and WebAssembly, prioritizing privacy, low latency, and offline capability over cloud-dependent architectures. The runtime compiles into a …
BoxAgnts has released a runtime architecture that separates the Model Context Protocol (MCP) layer from a dedicated execution runtime, arguing that protocol standardization alone is insufficient for s…
BoxAgnts has implemented a capability-based security model for AI agents that replaces root-level access with granular, explicit permissions. The system's WASM execution model requires agents to decla…
BoxAgnts has developed a WebAssembly-based sandbox for AI agent execution that replaces traditional Python subprocesses and container isolation. The runtime treats each tool as an independent WASM mod…
BoxAgnts has built a model-agnostic abstraction layer that lets users switch between AI providers—including OpenAI, Anthropic, and Google Gemini—by changing a single parameter. The system normalizes e…
BoxAgnts implements a multi-turn agent conversation system that requires three API calls and two tool executions to complete a single user request, such as reading a config file and changing a port nu…
BoxAgnts has introduced a Rust-based AI Agent platform designed for desktop, edge, and security-sensitive deployments, offering compile-time safety and zero-runtime startup. The project argues that wh…
BoxAgnts has implemented a WebAssembly (WASM) sandbox as the security foundation for its AI agent platform, using Wasmtime from the Bytecode Alliance as the runtime engine. The sandbox provides 11-dim…
BoxAgnts' Agent Toolbox, the middle layer of the system, comprises six core modules that handle intent understanding, tool dispatching, and execution result feedback. The architecture includes a unifi…
BoxAgnts is an open-source AI Agent ToolBox built with Rust that provides a secure runtime environment using WebAssembly sandbox technology. It offers an out-of-the-box experience by allowing users to…