GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Parlor is an all-in-one multimodal AI solution running entirely on device for real-time voice and vision interactions.
Good fit when
- Need to run complex, interactive AI locally without relying on cloud services.
- Specific hardware requirements like Apple Silicon or Linux with supported GPUs do not pose a barrier.
Avoid when
- Limited by Python 3.12 requirement and need for specialized hardware such as Apple Silicon.
- Insufficient ~3 GB RAM makes it unsuitable for environments with tight memory constraints.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Steady (47d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 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 parlor PyPISimilar 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
Parlor enables local running of natural voice and vision conversations using Gemma 4 E2B and Kokoro models, focusing on real-time interactivity with minimal external dependencies.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 20, 2026
- Languages
- python
Source: github.language+pyproject.toml · Sep 20, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
Requirements Python 3.12+ llama.cpp ( on macOS; other platforms: install guide). Needs build b9503 (June 2026) or newer, b9512 for — older builds lack Gemma 4 audio or crash loading its mmproj macOS with Apple Silicon, or Linux with a supported GPU 6 GB free RAM for the default E...
For agents
This page has a .md twin and JSON over the API.