Context Engineering AgentsVerified Creator

• references/
• SKILL.mdopen
• README.mdopen

name:

Context Engineering Agents

slug:

context-engineering-agents

version:

v1.2.0

license:

MIT

author:

@contextcraft

categories:

tags:

#context-engineering#ai-agents#context-window#memory#agents-md

description:

Engineer agent context: token budgets, dynamic selection, compression, memory tiering, and drift monitoring for long runs.

// What you can do with it

• Token budgeting. Assigns explicit budgets to system prompt, tool defs, retrieved chunks, and history; uses a tokenizer (e.g. anthropic.count_tokens, tiktoken) to enforce them before each call.
• AGENTS.md as shared context. Treats a repo-root AGENTS.md as the single source of cross-tool instructions, conventions, and project facts that every agent reads.
• Dynamic selection & retrieval. Scores and pulls only relevant docs/snippets per step instead of stuffing everything in.
• Summarization-based compaction. Replaces old turns with rolling summaries when usage crosses a threshold, preserving decisions while dropping transcript bulk.
• Memory tiering. Separates working memory (current step), short-term (recent turns), and long-term (vector/KV store) with explicit promotion/eviction rules.
• Drift monitoring. Periodically checks current behavior against the stated objective and flags divergence.