# Sumanth077/ai-engineering-toolkit

A curated list of 100+ libraries and frameworks for AI engineers building with LLMs

Repository: https://github.com/Sumanth077/ai-engineering-toolkit
Canonical: https://ross.abutalabs.com/products/ai-engineering-toolkit
Homepage: https://aiengineering.beehiiv.com
License: MIT
License Family: permissive
Last push: 2026-05-11T09:25:05+00:00

## Health v2 (maintenance only)
Score: 54/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 81, release rhythm 35, longevity 28
- inputs: {"age_days": 392, "days_push": 114, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3378, forks 611 (observed 2026-08-28T04:07:58.560689+00:00)

## What it is
A curated list of 100+ libraries and frameworks for AI engineers building with large language models, covering vector databases, orchestration, RAG, agent frameworks, inference, and LLM safety. It is a reference catalog rather than runnable software.

## Use cases
- find libraries for building llm apps
- compare vector databases for rag
- discover agent frameworks
- find open-source llm inference tools
- curated list of ai engineering tools
- learn what tools ai engineers use

## When to choose
- you want a quick overview of the LLM tooling ecosystem
- you are evaluating options for RAG, agents, or vector search
- you need a starting point for building an LLM-powered application

## When to avoid
- you need runnable code or a working implementation
- you need in-depth tutorials rather than a link catalog
- you need up-to-date benchmarking of the listed tools

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools, rag, agent-framework, llm-inference, vector-database
- domain: large-language-models, artificial-intelligence, developer-tools, awesome-lists
- platform: python, cross-platform
- tags: curated-list, llm-tooling, ai-engineering, awesome-list, ai-agents, retrieval-augmented-generation

## Member repositories
- Sumanth077/ai-engineering-toolkit (main) score 54

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:58.560689+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:39:42.055317+00:00, confidence not recorded.
  - readme: https://github.com/Sumanth077/ai-engineering-toolkit (fetched 2026-08-28T04:07:58.560689+00:00, sha 3a1d1eb7a520)
  - homepage: https://aiengineering.beehiiv.com (fetched 2026-08-29T09:33:40.863245+00:00, sha f388f29738fc)
- Data as of 2026-08-30T08:39:29.467469+00:00.