
SandBase Managed Agents: Open-Source CMA-Compatible Runtime
SandBase Managed Agents is an open-source, local-first agent runtime with CMA-compatible APIs, multiple sandbox backends, and model-agnostic design.
ReadInsights on AI agents, model routing, and building production-ready AI systems.

SandBase Managed Agents is an open-source, local-first agent runtime with CMA-compatible APIs, multiple sandbox backends, and model-agnostic design.
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A practical guide for engineering teams to evaluate AI model spend — not just which model is best, but how to measure value on your workload.
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Meta announces Muse Glimmer, a 30B parameter open-weight model family designed to run on laptops and consumer devices—challenging cloud-only AI with on-device intelligence.
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A step-by-step guide to migrating your MCP server from the session-based model to the new stateless 2026-07-28 spec. Includes before/after code, checklists, and FAQ.
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Agent Plugins is a new open standard for portable AI agent plugin packages. One format, every client. Learn how plugin.json, skills, and MCP servers fit together.
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Compare the best open weights LLMs for AI agents in 2026: DeepSeek V4, openPangu-2.0-Pro, Llama 4 Maverick, cost, context, benchmarks, and self-hosting fit.
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How Cloudflare's serverless platform became the perfect deployment target for stateless MCP servers, with updated SDKs and zero-config scaling.
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Cursor vs Windsurf vs Claude Code compared in 2026. IDE integration, agent autonomy, model flexibility, multi-file editing, MCP support, and pricing — with a verdict per use case.
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How Duolingo built a shared agent platform using Temporal workflows, declarative definitions, and multi-runtime support to stop teams from rebuilding infrastructure for every agent project.
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