Context Intelligence Layer for all Coding Agents

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             Context Runtime for AI Agents

The context layer for AI coding agents

Reduce token waste in Cursor, Claude Code, Copilot, Windsurf, Codex, Gemini & more by 60–95% (up to 99% on cached reads)
Shell Hook + MCP Server · 60 tools · 10 read modes · 95+ patterns · Single Rust binary
Context Intelligence: Bounce detection, context gate with graph/intent/knowledge-based mode routing, MCP resources & prompts, dynamic tool categories, client capability detection across 9+ IDEs

Website · Docs · Install · Demo · Benchmarks · Cookbook · Security · Changelog · Discord

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lean-ctx is a local-first context runtime that compresses file reads + shell output before they reach the LLM. Cached re-reads drop to ~13 tokens.

See it in action:

Read + Shell Map-mode reads + compressed CLI output

Gain (live) Tokens + USD savings in real time

Benchmark proof Measure compression by language + mode

_{All GIFs are generated from reproducible VHS tapes in demo/.}

What it does

• File reads (MCP): cached + mode-aware reads (full, map, signatures, diff, …) with graph-aware related files hints
• Shell output (hook): compresses noisy CLI output via 95+ patterns (git, npm, cargo, docker, …)
• Graph-Powered Intelligence: multi-edge Property Graph (imports, calls, exports, type_ref) with weighted impact analysis, hybrid search (BM25 + embeddings + graph proximity via RRF), and incremental git-diff updates
• PR Context Packs: lean-ctx pack --pr builds a PR-ready context pack (changed files, related tests, impact, artifacts)
• Context Packages: lean-ctx pack create bundles Knowledge + Graph + Session + Gotchas into portable .lctxpkg files — share context across projects/teams with SHA-256 integrity, auto-load on session start, and smart merge (dedup facts, overlay graph)
• Session memory (CCP): persist task/facts/decisions across chats with structured recovery queries surviving compaction
• HTTP mode: lean-ctx serve for Streamable HTTP MCP + /v1/tools/call (used by the Cookbook + SDK)

How it works (30 seconds)

AI tool  →  (MCP tools + shell commands)  →  lean-ctx  →  your repo + CLI

• MCP server: exposes ctx_* tools (read modes, caching, deltas, search, memory, multi-agent)
• Shell hook: transparently compresses common commands so the LLM sees less noise
• Property Graph: multi-edge code graph powers impact analysis, related file discovery, and search ranking
• CCP: persists session state with structured recovery queries so long-running work doesn’t “cold start” every chat

Get started (60 seconds)

# 1) Install (pick one)
curl -fsSL https://leanctx.com/install.sh | sh      # universal (no Rust needed)
brew tap yvgude/lean-ctx && brew install lean-ctx    # macOS / Linux
npm install -g lean-ctx-bin                          # Node.js
cargo install lean-ctx                               # Rust
pi install npm:pi-lean-ctx                           # Pi Coding Agent

# 2) Setup (shell + auto-detected AI tools)
lean-ctx setup

# 3) Verify
lean-ctx doctor

# 4) See the payoff
lean-ctx gain --live
lean-ctx wrapped --week

After setup, restart your shell and your editor/AI tool once so the MCP + hooks are active.

Troubleshooting / Safety

• Disable immediately (current shell): lean-ctx-off
• Run a single command uncompressed: lean-ctx -c --raw "git status"
• Only activate in AI agent sessions: set shell_activation = "agents-only" in ~/.config/lean-ctx/config.toml
• Docker projects sharing /workspace: create .lean-ctx-id with a unique name to prevent context collisions
• Update: lean-ctx update
• Diagnose (shareable): lean-ctx doctor --json

Supported IDEs & AI tools

lean-ctx is a standard MCP server, so it works with any MCP-compatible client. Three integration modes are auto-selected per agent:

Mode	How it works	Best for
CLI-Redirect	Agent calls lean-ctx directly via shell — zero MCP schema overhead	Agents with shell access
Hybrid	MCP for cached reads (13 tokens), CLI for shell + search	Mixed environments
Full MCP	All 63+ tools via MCP protocol	Protocol-only agents

Agent compatibility matrix

Agent	CLI	Hybrid	MCP	Setup
Cursor	●			lean-ctx init --agent cursor
Codex CLI	●			lean-ctx init --agent codex
Gemini CLI	●			lean-ctx init --agent gemini
Claude Code		●		lean-ctx init --agent claude
CRUSH		●		lean-ctx init --agent crush
Hermes		●		lean-ctx init --agent hermes
OpenCode		●		lean-ctx init --agent opencode
Pi		●		lean-ctx init --agent pi
Qoder		●		lean-ctx init --agent qoder
Windsurf		●		lean-ctx init --agent windsurf
GitHub Copilot		●		lean-ctx init --agent copilot
Amp		●		lean-ctx init --agent amp
Cline		●		lean-ctx init --agent cline
Roo Code		●		lean-ctx init --agent roo
Kiro		●		lean-ctx init --agent kiro
Antigravity		●		lean-ctx init --agent antigravity
Amazon Q		●		lean-ctx init --agent amazonq
Qwen		●		lean-ctx init --agent qwen
Trae		●		lean-ctx init --agent trae
Verdent		●		lean-ctx init --agent verdent
Aider		●		lean-ctx init --agent aider
Continue		●		lean-ctx init --agent continue
JetBrains IDEs			●	lean-ctx init --agent jetbrains
QoderWork			●	lean-ctx init --agent qoderwork
VS Code			●	lean-ctx init --agent vscode
Zed			●	lean-ctx init --agent zed
Neovim			●	lean-ctx init --agent neovim
Emacs			●	lean-ctx init --agent emacs
Sublime Text			●	lean-ctx init --agent sublime

Any MCP-compatible client works out of the box — the table above shows agents with first-class auto-setup.

When to use (and when not to)

Great fit if you…

• use AI coding tools daily and your sessions are shell-heavy (git/tests/builds)
• work in medium/large repos (50+ files / monorepos)
• want a local-first layer with no telemetry by default

Skip it if you…

• mostly work in tiny repos and rarely call the shell from your AI tool
• always need raw/unfiltered logs (you can still use --raw, but ROI is lower)

Demo

Try these in any repo:

lean-ctx read rust/src/server/mod.rs -m map
lean-ctx -c "git log -n 5 --oneline"
lean-ctx gain --live
lean-ctx benchmark report .

• The repo ships the exact tapes used to render the GIFs in demo/
• Regenerate locally:

vhs demo/leanctx.tape
vhs demo/gain.tape
vhs demo/benchmark.tape

Benchmarks

• Latest snapshot: BENCHMARKS.md
• Reproduce:

lean-ctx benchmark report .

Docs

• Getting started: https://leanctx.com/docs/getting-started
• Tools reference: https://leanctx.com/docs/tools/
• CLI reference: https://leanctx.com/docs/cli-reference/
• FAQ: discord-faq.md
• Feature catalog (SSOT snapshot): LEANCTX_FEATURE_CATALOG.md
• Architecture: ARCHITECTURE.md
• Vision: VISION.md

Privacy & security

• No telemetry by default
• Optional anonymous stats sharing (opt-in during setup)
• Disableable update check (config update_check_disabled = true or LEAN_CTX_NO_UPDATE_CHECK=1)
• 40+ security hardening fixes in v3.5.16 (path traversal, injection, CSPRNG, CSP, resource limits — details)
• Runs locally; your code never leaves your machine unless you explicitly enable cloud sync

See SECURITY.md.

Uninstall

lean-ctx-off       # disable immediately (current shell session)
lean-ctx uninstall # remove hooks + editor configs + data dir

# Remove the binary (pick your install method)
brew uninstall lean-ctx
npm uninstall -g lean-ctx-bin
cargo uninstall lean-ctx
pi uninstall npm:pi-lean-ctx                        # Pi Coding Agent

Contributing

Start with CONTRIBUTING.md. Easy first PR: propose a new CLI compression pattern via the issue template.

License

Apache License 2.0 — see LICENSE.

Portions of this software were originally released under the MIT License. See LICENSE-MIT and NOTICE.