parcadei/llm-tldr
95% token savings. 155x faster queries. 16 languages. LLMs can't read your entire codebase. TLDR extracts structure, traces dependencies, and gives them exactly what they need. observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 62
- Release rhythm 35
- Longevity 16
Flags: no_releases archived
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 236
- days_rel: n/a
- days_push: 228
- n_releases_24m: 0
Adoption not part of the score
1170 stars · 114 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Python CLI tool and daemon that indexes codebases into a 5-layer analysis stack (AST, call graph, control flow, data flow, program dependence) using tree-sitter, plus a FAISS semantic index for natural-language code search. It serves token-efficient, LLM-ready code context to AI agents, claiming 95% token savings and millisecond queries across 16-17 languages.
Use cases
- give my coding agent only the relevant parts of a large codebase
- reduce token usage when feeding code to Claude or GPT
- find where JWT validation is implemented via semantic code search
- trace what affects a specific line before refactoring
- generate LLM-ready summaries of project structure and dependencies
- index a multi-language monorepo for AI-assisted development
When to choose
- you use AI coding agents on codebases too large for the context window
- you want fast semantic and structural code queries with a persistent daemon
- you need call graph, data flow, or program slicing analysis across many languages
When to avoid
- you need a full IDE-grade static analysis or type checker
- your project is small enough to fit directly in the LLM context
- you require a permissive license (AGPL-3.0)
- you need deep analysis for languages outside its supported set
Facets
cli-tool · maturity active
parser search-engine rag mcp developer-tools developer-tools large-language-models parsers apis cli python cross-platform static-analysis tree-sitter call-graph token-optimization code-indexing semantic-search context-window ai-agents
2 sources
- readme: https://github.com/parcadei/llm-tldr · fetched 2026-08-28 · a8be3df32e5d
- registry_pypi: https://pypi.org/pypi/llm-tldr/json · fetched 2026-08-29 · fe6a064e1a65
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| parcadei/llm-tldr | main | 10 |
For agents
markdown · JSON · MCP: product_card(name="parcadei/llm-tldr")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem