GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
just-chat is a Python framework for setting up an LLM-based AI agent using Docker or Podman for quick chat interactions. It supports customization and provides detailed installation instructions.
Good fit when
- When you need to quickly set up and interact with an LLM-based AI agent without extensive configuration.
- For users on RPM-based distributions like Fedora, where Podman is the default container engine and considered safer.
Avoid when
- If your workflow does not support Docker or Podman, as these are the only supported deployment environments.
- When you are using Ubuntu 22.04 with the default Podman version (v3), which requires manual installation since it is not fully compatible with just-chat's setup.
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (288d since push)
- As of Sep 7, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 7, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install just-chatSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A framework for quickly setting up and chatting with an LLM-based AI agent using Docker or Podman.
Capability facts
- Deploy
- Self-host
Source: dockerfile:docker-compose.yml · Sep 7, 2026
- Docker
- Dockerfile present
Source: dockerfile:docker-compose.yml · Sep 7, 2026
- Languages
- python
Source: github.language · Sep 7, 2026
Categories
Tags
README
Quick start Just clone repository and run docker compose! And the chat with your agent is ready to go! Open in your browser and start chatting with your agent! Note: container will be started with the user and group of the host machine to avoid permission issues. If you want to c...
For agents
This page has a .md twin and JSON over the API.