// devtools · yvgude/lean-ctx

lean-ctx

lean-ctx ist ein Open-Source-Projekt aus der Kategorie Entwickler-Tools von yvgude (yvgude/lean-ctx auf GitHub). Es hat 3.870 Sterne auf GitHub und 351 Forks, wird unter der Lizenz Apache-2.0 veröffentlicht und wurde zuletzt am 8. Oktober 2026 auf GitHub aktualisiert.

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

★ 3,9 Tsd. Sterne⑂ 351 ForksApache-2.0aktualisiert Okt 2026
▦ Visual — das README dieses Projekts enthält keinen einbettbaren Screenshot,
darum hier ein Platzhalter. Die Anleitung unten ist trotzdem vollständig.
// projektdaten

Projektdaten

Repository
yvgude/lean-ctx
GitHub-Sterne
3.870
Forks
351
Lizenz
Apache-2.0
Zuletzt auf GitHub aktualisiert
8. Oktober 2026
Eintragstyp
Vollständige Installationsanleitung
Offizielle Website
Official site
// so funktioniert es

So funktioniert es

  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.

// funktionen

Warum es so beliebt ist

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.

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// selbst ausführen

Führe es selbst aus

  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
// anwendungsfälle

Was du damit bauen kannst

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// häufige fragen

Häufige Fragen

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.

// weiter entdecken

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// alternativen

Alternativen im Bereich Entwickler-Tools

Die anderen Projekte der Kategorie Entwickler-Tools mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls lean-ctx nicht das Richtige ist.

// mehr in devtools

Mehr in Entwickler-Tools

Verwandte Projekte der Kategorie Entwickler-Tools im Katalog, die lean-ctx bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.

Hol dir lean-ctx

Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.