GraphCanon updated Sep 30, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Agent Zero is a Python-based AI framework that facilitates the creation of Dockerized autonomous AI agents, integrating with LLM providers like OpenAI Codex via OAuth.
Good fit when
- Use Agent Zero when you need to create Dockerized instances for autonomous AI agents that can be easily managed and scaled.
- Choose Agent Zero if you require integration with LLM providers such as OpenAI Codex through OAuth, allowing you to leverage your existing LLM plans.
Avoid when
- Avoid Agent Zero if you do not require Dockerization for your AI agents, as it adds an extra layer of complexity that may not be necessary.
- Do not use Agent Zero if you are looking for a framework that supports a wide range of LLM providers beyond OpenAI Codex, as its current integration is limited.
Observed Sep 30, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (2d since push)
- As of Aug 19, 2026
- Provenance
- Not a fork · Organization account
- As of Aug 19, 2026
- Security (OSV)
- 99 low (99 low)
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install agent-zeroHow it fits your stack(14)
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Evidence and technical details
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Overview
Agent Zero is an AI framework that creates Dockerized instances for autonomous AI agents. It supports integration with LLM providers like OpenAI Codex through OAuth.
Capability facts
- Languages
- python
Source: github.language · Aug 19, 2026
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README
A0 Install Use A0 Install when you want the terminal path: SSH sessions, servers, recovery shells, or a scriptable setup. It creates Dockerized Agent Zero instances, mounts each instance's data into inside the container, and uses a reuse before setup policy: it tries your current...
For agents
This page has a .md twin and JSON over the API.