感知
在采取行动之前，了解重要信息。
Read more定义
什么是 LeanCTX?
LeanCTX（“Lean Context”的缩写）是 AI 代理的上下文工程层：它决定了代理读取什么，压缩它们发送的内容，记住它们学到的知识，保护它们接触的数据，并证明它们保存的内容——因此，跨越模型边界的一切都是有目的、经过压缩和可证明的。
The one-paragraph definition
LeanCTX (short for Lean Context) is the open-source context engineering layer for AI agents. One local Rust binary decides what agents read (10 read modes, 60–90% fewer tokens, ~13-token cached re-reads), remembers what they learn (persistent sessions, knowledge graph), guards what they touch (PathJail, secret redaction, budgets, injection detection), proves what they save (Ed25519-signed ledger, reproducible benchmark) and replays what they saw (git-anchored, signed context snapshots you can restore or share); an optional local proxy compresses what they send — every request’s system prompt, history and tool output, prompt-cache-safe on the wire. Compression — read-side and wire-side — is one of five subsystems, and every original stays locally retrievable. Works with 30+ AI coding tools via MCP and shell hooks; embeds in any agent via a versioned /v1 API with Python, TypeScript and Rust SDKs. Local use is free forever, enforced by CI.
It's not about tokens. It's about what matters.
名称
LeanCTX 是什么意思？ 代表？
Lean Context。 这个名称描述了其功能：为 AI 代理提供精简、精确的上下文，而不是原始、嘈杂的输入。
- LeanCTX
- 用于散文和标题的品牌和项目名称。
- lean-ctx
- 二进制文件、包和 CLI 命令。
- Lean Context
- 该名称展开成的全称，以及查找我们的搜索词汇。
并非 "Lean Cortex"，这是早期媒体报道中的一个拼写错误。如果您撰写关于该项目的内容，新闻资料包提供了可直接使用的标准文本。
四个工作流
阅读更少。记忆更多。 证明它。
一旦 LeanCTX 成为您的 context engineering layer，就会发生四种变化。
Without LeanCTX, your agent…With LeanCTX…The receipt
reads everything reads what matters
60–90% less per readforgets everything remembers across sessions
re-reads cost ~13 tokenstouches anything touches only what’s allowed
PathJail · redaction · budgetsproves nothing proves every saving
Ed25519-signed ledgercan’t revisit what it saw replays any past state
git-anchored, signed snapshotsToken savings are the receipt. Context engineering is the product.
底层架构
五个子系统， 一个二进制文件。
从架构上讲，LeanCTX 是一个认知上下文层：每个读取、命令和搜索都会运行五个子系统。压缩是其中之一——context engineering 就是产品本身。
关键事实
数据指标 支撑论点。
所有数字均可复现：lean-ctx benchmark report . 在您自己的仓库上进行测量，每次节省都会记录在 Ed25519 签名账本中。
名称、价格和产品。 the product.
The short answers to the essential questions.
LeanCTX (short for Lean Context) is the open-source context engineering layer for AI agents. One local Rust binary decides what agents read (10 read modes, 60–90% fewer tokens, ~13-token cached re-reads), remembers what they learn (persistent sessions, knowledge graph), guards what they touch (PathJail, secret redaction, budgets, injection detection), proves what they save (Ed25519-signed ledger, reproducible benchmark) and replays what they saw (git-anchored, signed context snapshots you can restore or share); an optional local proxy compresses what they send — every request’s system prompt, history and tool output, prompt-cache-safe on the wire. Compression — read-side and wire-side — is one of five subsystems, and every original stays locally retrievable. Works with 30+ AI coding tools via MCP and shell hooks; embeds in any agent via a versioned /v1 API with Python, TypeScript and Rust SDKs. Local use is free forever, enforced by CI.
Lean Context。这个名称描述了其功能：为 AI 代理提供精简、精确的上下文，而不是原始、嘈杂的输入。LeanCTX 是品牌和项目名称；lean-ctx 是二进制文件、包和 CLI 命令。它不是“Lean Cortex”——这是早期报道中出现的误拼。
不。压缩只是五个子系统之一。LeanCTX 是一个上下文工程层：它决定了代理读取什么，记住它们学到的知识，保护它们接触的数据，并在 Ed25519 签名的账本中证明它们保存的内容。Token 节省是凭证——上下文工程才是产品。
是的。本地使用永久免费，并通过公共 CI 网关强制执行，任何试图将本地功能置于付费墙后的提交都会失败。核心部分是开源的（Apache-2.0）。付费计划在基础之上增加了托管同步（Pro）和共享团队平面（Team）。