// devtools · yvgude/lean-ctx

lean-ctx

lean-ctx es un proyecto de herramientas de desarrollo de código abierto de yvgude (yvgude/lean-ctx en GitHub). Tiene 3.870 estrellas en GitHub y 351 bifurcaciones, se publica bajo la licencia Apache-2.0 y se actualizó por última vez en GitHub el 8 de octubre de 2026.

LeanCTX — the Rust context gateway that controls what your AI coding tools can see.

★ 3,9k estrellas⑂ 351 bifurcacionesApache-2.0actualizado oct 2026
▦ visual: el README de este proyecto no incluye ninguna captura incrustable,
así que aquí va un marcador. La guía de abajo está completa de todos modos.
// datos del proyecto

Datos del proyecto

Repositorio
yvgude/lean-ctx
Estrellas en GitHub
3.870
Bifurcaciones
351
Licencia
Apache-2.0
Última actualización en GitHub
8 de octubre de 2026
Tipo de ficha
Guía de instalación completa
Sitio oficial
Official site
// cómo funciona

Cómo funciona

  1. Clarify your goal

    Decide the first concrete outcome you want from it, so you can pick the right example, template or mode instead of exploring everything at once.

  2. Get the project

    Clone the repository (or install the published package) and skim its README quick start for the requirements for your platform.

  3. Install and configure

    Run the documented install step and set any required configuration — such as provider keys, data sources or local services — before the first run.

  4. Run your first task

    Execute the smallest documented example end to end, confirm the output is what you expected, then adapt it to your real data or workflow.

// características

Por qué gusta tanto

Context compression

16 read modes (full, map, signatures, diff, density and more), 85+ shell-output compression patterns and cached re-reads that return compact references.

Intelligent triage

An IntentEngine classifies query complexity and a ModePredictor learns the best read mode per file type, so simple lookups stay cheap.

Knowledge routing

Session memory, a temporal knowledge graph and a property graph of imports/calls/exports power impact analysis and search ranking.

Controls and governance

Configured path permissions, content filters and context budgets applied before delivery, with per-agent budgets and throttling profiles.

Cost intelligence

Local token/cost tracking, Shadow Mode savings estimates and CPAO (cost per accepted outcome) reporting via lean-ctx savings.

Inspectable proof

ctx_proof / ctx_verify export an audit trail of sources, policy decisions and pipeline provenance.

Advertisement
// ejecútalo

Ejecútalo tú mismo

  1. Clone the repository

    Get the source so you can inspect, configure and run it locally.

    git clone https://github.com/yvgude/lean-ctx.git
    cd lean-ctx
  2. Set up your AI tool integration

    After installing LeanCTX (see the README install matrix for your platform), configure a supported integration.

    lean-ctx setup  # see README for the exact install command for your platform
  3. Track value

    Enable Shadow Mode, work normally, then check what LeanCTX saved.

    lean-ctx config set shadow.enabled true
    lean-ctx savings
// casos de uso

Qué puedes crear

Advertisement
// preguntas frecuentes

Preguntas frecuentes

Who maintains lean-ctx?

It is maintained by yvgude on GitHub (yvgude/lean-ctx), where the source, issues and releases live.

Is it free to use?

Yes — it is free and open source under Apache-2.0, which permits use, modification and commercial redistribution, with licence/notice retention.

Does it need a paid API key?

No LLM API key of its own — LeanCTX prepares context locally; your existing AI tool keeps using its own model and key.

How does it compare to raw MCP filesystem servers or manual context stuffing?

Compared with raw MCP filesystem servers or manual context stuffing, lean-ctx's distinguishing focus is: leanCTX — the Rust context gateway that controls what your AI coding tools can see. Pick it when that focus matches your need; the alternative may suit you better if its broader or different scope is the priority.

How do I get started?

Clone https://github.com/yvgude/lean-ctx (or install its published package), follow the README quick start to install and configure it, then run the smallest documented example — the Run section on this page mirrors those steps.

// sigue explorando

Herramientas similares

Herramientas de desarrollo

ctx

Hunt down the lowest-cost AI coding setup your repo can rely on.

★ 588 estrellasMIT
Ver la guía →
Herramientas de desarrollo

agentacct

See what your coding agents did — and what each task cost in tokens.

★ 763 estrellasMIT
Ver la guía →
Herramientas de desarrollo

context-mode

Context optimization for coding agents: sandbox tool output, keep sessions lean, remember more

★ 25,7k estrellasElastic License 2.0
Ver la guía →
Herramientas de desarrollo

context-engineering-intro

Context engineering is the new vibe coding - it's the way to actually make AI coding assistants work. Claude Code is the best for this so that's what this re…

★ 13,9k estrellasMIT
Ver la guía →
Herramientas de desarrollo

InsForge

All-in-one open-source backend for agentic coding: database, auth, storage, hosting and AI gateway.

★ 13,1k estrellasApache-2.0
Ver la guía →
Herramientas de desarrollo

GrapeRoot

MCP graph engine that compounds context across AI coding assistants.

★ 1,0k estrellasApache-2.0
Ver la guía →
// alternativas

Alternativas en Herramientas de desarrollo

Los demás proyectos de Herramientas de desarrollo con más estrellas del catálogo de LibreAI: la lista realista de alternativas si lean-ctx no es lo que buscas.

// más en devtools

Más en Herramientas de desarrollo

Proyectos de Herramientas de desarrollo cercanos en el catálogo, los más próximos en estrellas a lean-ctx: sigue explorando a ambos lados.

Consigue lean-ctx

Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.