Awesome Artificial Intelligence
Section: LLM application engineering · How to select, structure, and manage the context available to long-running agents.
FreshScore 86
Entry
Effective Context Engineering for AI Agents
Appears in 5 awesome lists
Anthropic's systematic guide to managing the full context state—system prompts, tools, MCP, and message history—as a finite, curated resource. Reframes harness design as "what configuration of context produces the desired behavior?" rather than just prompt wording.
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Table of Contents
Section: From Anthropic · by Anthropic - Anthropic's guide to curating the context window — compaction, just-in-time retrieval, and note-taking — the discipline underlying effective long-horizon agent use.
FreshScore 94
Awesome Harness Engineering
Section: Context Delivery & Compaction · Anthropic's systematic guide to managing the full context state—system prompts, tools, MCP, and message history—as a finite, curated resource. Reframes harness design as "what configuration of context produces the desired behavior?" rather than just prompt wording.
FreshScore 88
Awesome Prompts
Section: Context Engineering
FreshScore 90
Awesome Roadmaps
Section: Articles & Books · Anthropic engineering article explaining context engineering strategies for long-running AI agents.
FreshScore 83
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docx
by Anthropic - Anthropic's official repository for Agent Skills — the SKILL.md format, a skill template, and example skills, the same format Claude Code loads natively.
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OpenViking
ByteDance's context database for AI agents that unifies memory, resources, and skills through a filesystem paradigm, enabling hierarchical context delivery where agents pull only the paths they need instead of receiving bloated monolithic prompts. The self-evolving layer that restructures context…
In 7 listsDetails
Context7
MCP server and CLI that injects up-to-date, version-specific library documentation directly into agent context, eliminating hallucinated APIs and outdated code examples caused by stale training data. Ships as both a ctx7 command-line tool and an MCP server with resolve-library-id and query-docs…
In 6 listsDetails
codebase-memory-mcp
High-performance code intelligence MCP server that full-indexes repositories into a persistent knowledge graph via tree-sitter AST analysis across 66 languages. Replaces dozens of file-read/grep cycles with sub-millisecond structured queries, cutting active tokens by 120× and turning codebase…
In 5 listsDetails
Harness Engineering
OpenAI's framing of harness engineering as a discipline: how to design the scaffolding that lets Codex and similar agents operate reliably in an agent-first world.
In 4 listsDetails
google-labs-code/design.md
DESIGN.md是一套专为AI编程代理设计的视觉标识描述规范，它通过提供持久且结构化的设计系统上下文，精准解决了大语言模型在自动化生成代码时因缺乏统一设计规范而导致的界面风格漂移与重复沟通痛点。该项目相较于传统工具的核心优势在于其标准化架构能够彻底消除多智能体协作中的认知碎片化，凭借内置的层级化索引机制实现设计规则的长期记忆而非短暂会话存储，同时依托原生Markdown语法实现了无需额外解析器的无缝工程集成，从而在易用性与稳定性上显著优于依赖私有格式的竞品方案。在底层运作逻辑上，该规范犹如为编程代理配备了一本可随时查阅的“数字化建筑蓝图”，它将抽象的色彩、字体与组件规范转化为带标题层级的树…
In 4 listsDetails
headroom
Compresses tool outputs, logs, files, and RAG chunks before they enter the context window, cutting active tokens by 60–95% without changing answers. Ships as a library, proxy, and MCP server — the right drop-in layer for any harness where bulky tool returns are the primary context pressure source.
In 4 listsDetails
Official Plugin Directory
by Anthropic - Anthropic's official, curated directory of high-quality Claude Code plugins, installable from within Claude Code.
In 3 lists