AI Agent
OpenViking Usage and OpenClaw Integration
· ☕ 3 min read
1. Introduction to OpenViking 1.1 Use Cases Problem How OpenViking Handles It Fragmented context Unified management with a filesystem paradigm: memory, resources, and skills all map to a viking:// virtual directory, so context is managed the way files are High token consumption L0/L1/L2 tiering: the L0 summary (~100 tokens) is

Extending OpenClaw with Skills and MCP
· ☕ 2 min read
1. What Skills Are 1 2 3 openclaw skills list Skills (7/51 ready) OpenClaw ships with a number of built-in skills, which you can view with openclaw skills list. The concrete implementations of these Skills can be found at https://github.com/openclaw/openclaw/tree/main/skills. A Skills file mainly describes the Skill’s metadata, when it

You Can Also Implement AI Agents This Way - The MCP Edition
· ☕ 5 min read
1. What Is MCP MCP is short for Model Context Protocol, a protocol for passing context between models and applications. The greatest value of MCP is that, as the model wars are winding down and AI applications are about to explode, it gives developers a unified standard for invoking capabilities beyond the model itself.

You Can Also Land AI Agents This Way - The Operations Events Edition
· ☕ 6 min read
1. Why Operations Events Less invasive Operations teams usually already have observations accumulated in the Metrics and Log dimensions. Operations events can be a new entry point: introduce new operational capabilities without affecting the stability of existing systems. Better suited to automation Metrics represent system state, Log represents specific code behavior, while Event represents changes in components.