muellerberndt/mini-agi
MiniAGI is a simple general-purpose AI agent based on the OpenAI API. 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
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
- readme: https://github.com/muellerberndt/mini-agi · fetched 2026-08-28 · fccd06b00c8f
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| muellerberndt/mini-agi | main | 30 |
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