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

muellerberndt/mini-agi

MiniAGI is a simple general-purpose AI agent based on the OpenAI API. observed · 2026-08-28

github.com/muellerberndt/mini-agi · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

30/100

  • Activity 0
  • Release rhythm 35
  • Longevity 88

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1237
  • days_rel: n/a
  • days_push: 1176
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2899 stars · 307 forks observed · 2026-08-28

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

MiniAGI is a simple general-purpose autonomous AI agent built on the OpenAI API, compatible with GPT-3.5-Turbo and GPT-4. It combines a robust prompt with a minimal set of tools, chain-of-thought reasoning, short-term memory with summarization, inner monologue, and optional self-criticism.

Use cases

  • run an autonomous AI agent to complete objectives
  • have GPT-4 execute Python code and shell commands automatically
  • experiment with minimal agent architectures and prompting
  • build a website or draw images from a natural language objective
  • explore chain-of-thought reasoning with short-term memory summarization
  • study self-criticism and inner monologue in LLM agents

When to choose

  • you want a minimal, readable codebase to learn how autonomous agents work
  • you need a lightweight GPT-3.5/GPT-4 agent with a small toolset
  • you want to experiment with agent prompting techniques like inner monologue and self-criticism

When to avoid

  • you need a production-grade agent framework with extensive integrations and plugins
  • you cannot send data to third-party API providers like OpenAI
  • you need an actively developed project with recent updates
  • you require strict safety guarantees, since the agent may suggest harmful commands or code

Facets

application · maturity maintenance

agent-framework llm-inference prompt-engineering artificial-intelligence large-language-models python cli cross-platform autonomous-agent gpt-4 gpt-3 openai-api agi chain-of-thought short-term-memory self-criticism ai-agents automation

1 source

Member repositories

RepositoryRoleHealth v2
muellerberndt/mini-agimain30

For agents

markdown · JSON · MCP: product_card(name="muellerberndt/mini-agi")

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