Data & Research · GitHub ·124 ★

banks

LLM prompt language based on Jinja. Banks provides tools and functions to build prompts text and chat messages from generic blueprints. It allows attaching metadata to prompts to ease their management, and versioning is first-class citizen. Banks provides ways to store prompts on disk along with the

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Details

Author
masci
Category
Data & Research
Platform
GitHub
Framework
openai
Language
python
Stars
124
First indexed
2026-05-15
Last active
2026-03-09
Directory sync
2026-05-15
@masci

Overview

LLM prompt language based on Jinja. Banks provides tools and functions to build prompts text and chat messages from generic blueprints. It allows attaching metadata to prompts to ease their management, and versioning is first-class citizen. Banks provides ways to store prompts on disk along with the

Quick start

git

git clone https://github.com/masci/banks

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What banks can do

llmtoolkitdataprompt
  • Llm — llm task automation.
  • Toolkit — toolkit task automation.
  • Data — Reads, transforms, and analyses structured data.
  • Prompt — prompt task automation.

Frequently asked questions

What is banks?
LLM prompt language based on Jinja. Banks provides tools and functions to build prompts text and chat messages from generic blueprints. It allows attaching metadata to prompts to ease their management, and versioning is first-class citizen. Banks provides ways to store prompts on disk along with the
How do I install banks?
Use git: `git clone https://github.com/masci/banks`. Full setup details on the source page linked above.
Is banks open source?
banks is published on GitHub.
What are alternatives to banks?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for banks is sourced from GitHub, published by masci.

Last scraped: · First indexed:

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