DeepSeek Harness: A First Look at a Plugin-Based Agent Runtime
An introduction to DeepSeek Harness, its Cordis plugin architecture, runtime modes, run traces, and data-boundary considerations.
← Back to Insights
Insights: Agents
Insights and analysis tagged with "Agents".
What Is Jev? The 2026 Complete Guide to TypeSafe's System One Model (200x Faster, 400x Cheaper AI Decisions)
Jev is TypeSafe AI's System One model: typed decisions with calibrated confidence instead of generated text — up to 200x faster and 400x cheaper than LLMs. Full 2026 guide: benchmarks, pricing, code examples.
DeepSeek Harness Agent Loop 2026: Inside the Replaceable Plugin That Drives Every Turn
A deep dive into the DeepSeek Harness agent loop: ReactLoopAgent, the turn/step model, the idle-maintenance-running phase machine, every durable session event, and the four extension points where plugins intercept requests, tools, and turns.
DeepSeek Harness 2026: Everything Is a Plugin — Developer Preview Guide
DeepSeek Harness (dsh) v0.1 developer preview is now open source under MIT. Full 2026 guide: the everything-is-a-plugin architecture on Cordis, four run modes, append-only session logs, and how to start with npx @deepseek-ai/dsh web.
OpenClaw Dreaming Guide 2026: Background Memory Consolidation for AI Agents
A complete guide to OpenClaw's Dreaming system — the three-phase background process that turns short-term memory signals into durable long-term knowledge.
Chrome WebMCP: The Complete 2026 Guide to AI Agent Protocol
How Google Chrome's new WebMCP protocol transforms every website into a structured tool for AI agents. Learn the Declarative and Imperative APIs, best practices, and how to try it today.