Effective context engineering for AI agents
www.anthropic.com
Anthropic explains how to select and manage context for agents, including tools, memory and long-running work.
Gemt
Lignende links
Less Context, Better Agents: Efficient Context Engineering for Long-Horizon Tool-Using LLM Agents
A research paper examining context-management methods for language-model agents performing long sequences of tool calls.
Fælles emne: Kunstig intelligens, Udvikling
Loop Engineering: The Anthropic Playbook
An interpretation of Anthropic’s engineering material on iterative agent workflows and feedback loops.
Fælles emne: Kunstig intelligens
Figma Context MCP
An MCP server that gives coding agents structured Figma layout information for design-to-code work.
Fælles emne: Kunstig intelligens, Udvikling
msitarzewski/agency-agents
A collection of specialist agent definitions for engineering, design, marketing and other work.
Fælles emne: Kunstig intelligens, Udvikling
cobusgreyling/loop-engineering
Patterns and command-line tools for organising AI coding agents into repeatable, verifiable workflows.
Fælles emne: Kunstig intelligens, Udvikling
wshobson/agents
A collection of plugins, agents and skills for development, testing and review across AI coding tools.
Fælles emne: Kunstig intelligens, Udvikling
