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Data sourced from GitHub API

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AutoGPTOrganization

AutoGPT

@significant-gravitas • Open source projects from significant-gravitas. Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.

Portfolio concentration

77%

Top three share

Shows whether the organization is driven by one breakout repo or several visible projects.

Breadth

30 repos

Visible snapshot

8 repositories updated in the last 90 days.

Leading language

Python

Portfolio mix

Python (13), Unknown (8), TypeScript (3)

Average size

48

Stars per repository

Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.

Back to organizationsCompare repositories
Updated: 2026-10-05(5d ago)GitHub API fallback30 repositories

Portfolio Shape

77%

of the visible star count comes from this organization's top three repositories.

Average Repository Size

48

stars per repository in this same snapshot.

Current Mix

Python

is the most common language here, with 8 repositories updated in the last 90 days.

Why this rank

This organization stands out because one flagship repo drives 54% of its visible star count.

Flagship share 54%Breakout repo: Auto-GPT-Plugin-Template

Organization pages work best when you separate portfolio breadth from flagship concentration. In AutoGPT's case, the visible top three repositories account for about 77% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.

The dominant language mix here is Python (13), Unknown (8), TypeScript (3). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.

Source: GitHub API fallback. This is the same cache-first snapshot used by the organization ranking list, so the summary view and the detail view should stay aligned.

Top Repositories

#RepositoryLanguageStars🍴 ForksUpdated
1significant-gravitas/Auto-GPT-Plugin-Template

A starting point for developing your own plug-in for Auto-GPT

Python7862092 years ago
2significant-gravitas/AutoGPT-Code-Ability

🖥️ AutoGPT's Coding Ability - empowering everyone to build software using AI

Python170542 years ago
3significant-gravitas/Auto-GPT-Forge

Build your own Auto-GPT

Python169933 years ago
4significant-gravitas/Nexus

Knowledgebase for AutoGPT

107142 years ago
5significant-gravitas/gravitasml

A super simple XML parser for LLMs that removes a lot of pain for traditional XML parsing

Python39105 months ago
6significant-gravitas/AutoGPT_Wizard

A wizard script for Installing AutoGPT on Windows with Linux/WSL

Shell31212 years ago
7significant-gravitas/agent-protocol

Common interface for interacting with AI agents. The protocol is tech stack agnostic - you can use it with any framework for building agents.

Python2292 years ago
8significant-gravitas/auto_gpt_flutter_clientDart20133 years ago
9significant-gravitas/Catalysts

https://github.com/Significant-Gravitas/Catalysts

PowerShell1663 years ago
10significant-gravitas/Auto-GPT-test-cassettes

Repository to hold cassettes used by the Auto-GPT test suite

Python15132 years ago
11significant-gravitas/AutoGPT-BuilderTypeScript14182 years ago
12significant-gravitas/autostandupPython1312 years ago
13significant-gravitas/AutoModerate

An MIT Licensed content moderation platform that allows you to manage LLM generated content in your software!

Python1041 weeks ago
14significant-gravitas/vcrpy

fork of vcrpy until the docker issue is fixed

Python742 years ago
15significant-gravitas/AgentProbe

AI Agent Evaluation Harness

TypeScript625 days ago
16significant-gravitas/gravitas-md2gdocs

takes a markdown file and converts it to google docs service syntax

Python536 months ago
17significant-gravitas/postman443 years ago
18significant-gravitas/prisma-client-py

Prisma Client Python is an auto-generated and fully type-safe database client designed for ease of use

Python308 months ago
19significant-gravitas/pr-agent-settings321 years ago
20significant-gravitas/opensoftPython313 years ago
21significant-gravitas/skills-catalog

Curated skill packages seeded into the AutoGPT Platform Skills marketplace

HTML205 days ago
22significant-gravitas/integrations

Toolkit to build integrations on GitBook

TypeScript211 years ago
23significant-gravitas/pathfinder

R&D project

203 years ago
24significant-gravitas/cassettes213 years ago
25significant-gravitas/AutoGPT-ghsa-qrmh

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

102 months ago
26significant-gravitas/broadcast-ingestor

Ingests Traces to GCS

Rust107 months ago
27significant-gravitas/autogpt-unraid

Official Unraid Community Applications template for AutoGPT Platform

Shell005 days ago
28significant-gravitas/AutoGPT-ghsa-fq82

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

002 months ago
29significant-gravitas/AutoGPT-ghsa-mvwv

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

012 months ago
30significant-gravitas/autogpt-local-executor

⚠️ EXPERIMENTAL: Local PC executor shim for the AutoGPT hosted platform

Python013 weeks ago

Next step after the organization read

Open a flagship repository, compare a couple of portfolio leaders, or return to the organization map when you want a broader concentration read.
Open flagship repoCompare repositoriesBack to organizations

Learn and methodology

Keep trust-building context reachable, but behind the first data read instead of ahead of it.
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How to read this organization snapshot

Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.

For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.