Ross ROSS = Recommend OSS · open-source software intelligence for agents

jgravelle/AutoGroq

AutoGroq is a groundbreaking tool that revolutionizes the way users interact with Autogen™ and other AI assistants. By dynamically generating tailored teams of AI agents based on your project requirements, AutoGroq eliminates the need for manual configuration and allows you to tackle any question, problem, or project with ease and efficiency. observed · 2026-08-28

github.com/jgravelle/AutoGroq · homepage · Python observed · 2026-08-28

Health v2 · maintenance only

15/100

  • Activity 0
  • Release rhythm 8
  • Longevity 63

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 887
  • days_rel: n/a
  • days_push: 618
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1503 stars · 446 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

AutoGroq is a Python application that dynamically generates tailored teams of AI agents for Autogen and similar frameworks based on user project requirements, without manual configuration. It provides a UI for natural conversation with expert agents, workflow generation, skill creation, and support for multiple LLM providers like Groq, ChatGPT, and Ollama.

Use cases

  • automatically build a team of AI agents for my project
  • use autogen without manually configuring agents
  • generate agent workflows from a natural language request
  • connect groq or ollama models to autogen agents
  • create custom skills for AI agents without coding
  • orchestrate multiple LLM experts on a problem

When to choose

  • you want to use Autogen-style multi-agent workflows without writing configuration code
  • you want dynamic agent team generation from plain-language project descriptions
  • you want a GUI for managing agents, skills, and workflows across multiple LLM providers

When to avoid

  • you need a production-grade, licensed, or well-maintained library (no license is provided)
  • you prefer manually defining and controlling agent configurations in code
  • you need a lightweight headless tool rather than an interactive application

Facets

application · maturity active

agent-framework llm-inference chatbot prompt-engineering artificial-intelligence large-language-models developer-tools python cross-platform autogen groq crewai multi-agent no-code agent-orchestration ai-agents

1 source

Member repositories

RepositoryRoleHealth v2
jgravelle/AutoGroqmain15

For agents

markdown · JSON · MCP: product_card(name="jgravelle/AutoGroq")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem