lean-ctx
LeanCTX — Context Runtime for AI Agents
LeanCTX optimizes LLM context through 56 MCP tools, 95+ shell compression patterns, and tree-sitter AST parsing for 18 languages. It provides adaptive file reading, cross-session memory (CCP), task-conditioned relevance scoring, and a feedback loop for learning optimal compression.
Setup (run first)
Before using lean-ctx, verify it is installed:
which lean-ctx || bash scripts/install.sh
If the install script is not available locally, install manually:
curl -fsSL https://raw.githubusercontent.com/yvgude/lean-ctx/main/skills/lean-ctx/scripts/install.sh | bash
After installation, run the one-command setup (installs shell hook + editor wiring + rules + skills):
lean-ctx setup
lean-ctx supports two integration styles:
- CLI-redirect (preferred when shell access exists): no MCP tool schema overhead.
- MCP (required for some IDE extensions): cached reads + tools via MCP.
When to use lean-ctx
Always prefer lean-ctx -c <command> over running commands directly when:
- The command produces verbose output (build logs, git diffs, dependency trees, test results)
- You are reading files and only need the structure or API surface
- You want to check token savings for the current session
Shell commands (use instead of raw exec)
lean-ctx -c git status # Compressed git output
lean-ctx -c git diff # Only meaningful diff lines
lean-ctx -c git log --oneline -10
lean-ctx -c npm install # Strips progress bars, noise
lean-ctx -c cargo build
lean-ctx -c cargo test
lean-ctx -c docker ps
lean-ctx -c kubectl get pods
lean-ctx -c aws ec2 describe-instances
lean-ctx -c helm list
lean-ctx -c prisma migrate dev
lean-ctx -c curl -s <url> # JSON schema extraction
lean-ctx -c ls -la <dir> # Grouped directory listing
Supported: git, npm, pnpm, yarn, bun, deno, cargo, docker, kubectl, helm, gh, pip, ruff, go, eslint, prettier, tsc, aws, psql, mysql, prisma, swift, zig, cmake, ansible, composer, mix, bazel, systemd, terraform, make, maven, dotnet, flutter, poetry, rubocop, playwright, curl, wget, and more.
File reading (compressed modes)
lean-ctx read <file> # Full content with structured header
lean-ctx read <file> -m map # Dependency graph + exports + API (~5-15% tokens)
lean-ctx read <file> -m signatures # Function/class signatures only (~10-20% tokens)
lean-ctx read <file> -m aggressive # Syntax-stripped (~30-50% tokens)
lean-ctx read <file> -m entropy # Shannon entropy filtered (~20-40% tokens)
lean-ctx read <file> -m diff # Only changed lines since last read
Use map mode when you need to understand what a file does without reading every line.
Use signatures mode when you need the API surface of a module (tree-sitter for 18 languages).
Use full mode only when you will edit the file.
AI Tool Integration
lean-ctx init --global # Install shell aliases
lean-ctx init --agent cursor --mode cli-redirect # CLI-first (no MCP schema overhead)
lean-ctx init --agent claude --mode cli-redirect # CLI-first (Claude Code)
lean-ctx init --agent codex --mode cli-redirect # CLI-first (Codex)
lean-ctx init --agent opencode --mode cli-redirect # CLI-first (OpenCode)
lean-ctx init --agent copilot # MCP (VS Code / Copilot)
lean-ctx init --agent jetbrains # MCP (JetBrains)
lean-ctx init --agent windsurf # MCP/Hybrid (Windsurf)
Multi-Agent & Knowledge (v2.7.0+)
CLI (works in CLI-redirect and MCP setups):
lean-ctx knowledge remember "value" --category <c> --key <k>
lean-ctx knowledge recall "query"
lean-ctx knowledge search "query"
lean-ctx session task "what you're doing"
lean-ctx session finding "what you found"
lean-ctx session decision "what you decided"
lean-ctx session save
If MCP is enabled for your IDE, the same capabilities are also available as MCP tools
(ctx_knowledge, ctx_session, ctx_agent, ...).
Additional Intelligence Tools (v2.19.0)
ctx_edit(path, old_string, new_string)— search-and-replace file editing without native Read/Editctx_overview(task)— task-relevant project map at session startctx_preload(task)— proactive context loader, caches task-relevant filesctx_semantic_search(query)— BM25 code search by meaning across the projectctx_intentnow supports multi-intent detection and complexity classification- Semantic cache: TF-IDF + cosine similarity for finding similar files across reads
Session Continuity (CCP)
lean-ctx sessions list # List all CCP sessions
lean-ctx sessions show # Show latest session state
lean-ctx wrapped # Weekly savings report card
lean-ctx wrapped --month # Monthly savings report card
lean-ctx benchmark run # Real project benchmark (terminal output)
lean-ctx benchmark run --json # Machine-readable JSON output
lean-ctx benchmark report # Shareable Markdown report
MCP tools for CCP:
ctx_session status— show current session state (~400 tokens)ctx_session load— restore previous session (cross-chat memory)ctx_session task "description"— set current taskctx_session finding "file:line — summary"— record key findingctx_session decision "summary"— record architectural decisionctx_session save— force persist session to diskctx_wrapped— generate savings report card in chat
Analytics
lean-ctx gain # Visual token savings dashboard
lean-ctx dashboard # Web dashboard at localhost:3333
lean-ctx session # Adoption statistics
lean-ctx discover # Find uncompressed commands in shell history
Tips
- The output suffix
[lean-ctx: 5029→197 tok, -96%]shows original vs compressed token count - For large outputs, lean-ctx automatically truncates while preserving relevant context
- JSON responses from curl/wget are reduced to schema outlines
- Build errors are grouped by type with counts
- Test results show only failures with summary counts
- Cached re-reads cost only ~13 tokens