by CarlosVallejoRuiz · Agent Tool · ★ 46
slurp graphify builds the bowl. slurp serves exactly the noodles your LLM needs. A knowledge graph is a bowl of ramen — thousands of nodes tangled together. Your LLM doesn't need the whole bowl. Slurp scores every node against your query, then greedily selects the highest-relevance subgraph that fits within your token budget — and tells you exactly what it picked and why. Works standalone or as a companion to graphify. Benchmark Tested on a real PrismaStats codebase: 2,111 nodes, 28,412 tokens total.
| Stars | 46 |
| Forks | 7 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 50.6348614181831/100 |
| Last Updated | 2026-09-15 |
| Created | 2026-06-06 |
| Platforms | cli, python |
| Est. Tokens | ~13k |
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slurp is Token-budget-aware graph navigation for AI coding agents. Serve exactly the noodles your LLM needs. 🍜. It is categorized as a Agent Tool with 46 GitHub stars.
slurp is primarily written in Python. It covers topics such as ai-tools, cli, graphify.
You can find installation instructions and usage details in the slurp GitHub repository at github.com/CarlosVallejoRuiz/slurp. The project has 46 stars and 7 forks, indicating an active community.