Comparison
parlor vs OGAM
Verdict
Pick parlor if parlor is an all-in-one multimodal AI solution running entirely on device for real-time voice and vision interactions; pick OGAM if oGAM is a versatile offline AI toolkit that supports a wide range of functionalities including chat, vision, speech-to-text, and image generation, all of which can be performed on mobile and Mac devices without the need.
Markdown twin · parlor alternatives · OGAM alternatives
GraphCanon updated Sep 20, 2026
9views this month
Trust & integrity
| Signal | parlor | OGAM |
|---|---|---|
| Maintenance | Steady (47d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- parlor
- On-device real-time multimodal AI for voice and vision
- OGAM
- Swiss Army Knife of Offline AI
Stars
- parlor
- 2.1k
- OGAM
- 3.1k
Forks
- parlor
- 272
- OGAM
- 298
Open issues
- parlor
- 1
- OGAM
- 151
Language
- parlor
- Python
- OGAM
- TypeScript
Adopt for
- parlor
- Parlor is an all-in-one multimodal AI solution running entirely on device for real-time voice and vision interactions.
- OGAM
- OGAM is a versatile offline AI toolkit that supports a wide range of functionalities including chat, vision, speech-to-text, and image generation, all of which can be performed on mobile and Mac devices without the need
Persona
- parlor
- -
- OGAM
- -
Runtime
- parlor
- -
- OGAM
- -
License
- parlor
- Apache-2.0
- OGAM
- MIT License, allowing for free use, modification, and distribution of the software.
Last pushed
- parlor
- Aug 3, 2026
- OGAM
- Sep 18, 2026
Categories
- parlor
- Computer Vision, Inference & Serving, Speech & Audio
- OGAM
- Computer Vision, Developer Tools, Inference & Serving, LLM Frameworks, Speech & Audio
Trust and health
Maintenance
- parlor
- Steady (60%)
- OGAM
- Very active (96%)
Days since push
- parlor
- 47d
- OGAM
- 0d
Open issues (now)
- parlor
- 1
- OGAM
- 151
Stars delta
- parlor
- +154 (30d)
- OGAM
- +269 (30d)
Open issues delta
- parlor
- -8 (30d)
- OGAM
- +14 (30d)
Owner type
- parlor
- User
- OGAM
- Organization
Full report
- parlor
- Trust report
- OGAM
- Trust report
Choose parlor if…
- parlor is primarily Python; OGAM is TypeScript.
- License: parlor is Apache-2.0, OGAM is MIT.
- Tags unique to parlor: apple-silicon, gemma, kokoro, litert-lm.
- Need to run complex, interactive AI locally without relying on cloud services.
When NOT to use parlor
- 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.
Choose OGAM if…
- OGAM is primarily TypeScript; parlor is Python.
- License: OGAM is MIT, parlor is Apache-2.0.
- Pricing: The core functionality is free, but premium features or services may be available for purchase..
- Requirements: Min 4 GB RAM; Supports CPU, GPU, and NPU for running AI models.; Available for Android, iOS, and macOS devices..
- Tags unique to OGAM: android, edge-ai, gguf, ios.
- Also covers Developer Tools, LLM Frameworks.
- OGAM ships an MCP server manifest.
- When you need a comprehensive offline AI toolkit that supports chat, vision, speech-to-text, and image generation on mobile and Mac devices.
When NOT to use OGAM
- If you need real-time cloud-based AI services that require internet access for data processing and model updates.
- When you are working in an environment where the use of local AI models is restricted or not supported by the hardware available.
- If your project requires integration with specific cloud APIs or services that OGAM does not support due to its offline nature.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (fikrikarim/parlor) · observed Sep 20, 2026
- GitHub forks (fikrikarim/parlor) · observed Sep 20, 2026
- Last push (fikrikarim/parlor) · observed Aug 3, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (off-grid-ai/OGAM) · observed Sep 20, 2026
- GitHub forks (off-grid-ai/OGAM) · observed Sep 20, 2026
- Last push (off-grid-ai/OGAM) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: parlor 2.1k · OGAM 3.1k (synced Sep 20, 2026).
Common questions
- What is the difference between parlor and OGAM?
- parlor: On-device real-time multimodal AI for voice and vision. OGAM: Swiss Army Knife of Offline AI. See the comparison table for live GitHub stats and shared categories.
- When should I choose parlor over OGAM?
- Choose parlor over OGAM when parlor is primarily Python; OGAM is TypeScript; License: parlor is Apache-2.0, OGAM is MIT; Tags unique to parlor: apple-silicon, gemma, kokoro, litert-lm; Need to run complex, interactive AI locally without relying on cloud services.
- When should I choose OGAM over parlor?
- Choose OGAM over parlor when OGAM is primarily TypeScript; parlor is Python; License: OGAM is MIT, parlor is Apache-2.0; Pricing: The core functionality is free, but premium features or services may be available for purchase.; Requirements: Min 4 GB RAM; Supports CPU, GPU, and NPU for running AI models.; Available for Android, iOS, and macOS devices.; Tags unique to OGAM: android, edge-ai, gguf, ios; Also covers Developer Tools, LLM Frameworks; OGAM ships an MCP server manifest; When you need a comprehensive offline AI toolkit that supports chat, vision, speech-to-text, and image generation on mobile and Mac devices.
- When should I avoid parlor?
- 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.
- When should I avoid OGAM?
- If you need real-time cloud-based AI services that require internet access for data processing and model updates. When you are working in an environment where the use of local AI models is restricted or not supported by the hardware available. If your project requires integration with specific cloud APIs or services that OGAM does not support due to its offline nature.
- Is parlor or OGAM more popular on GitHub?
- OGAM has more GitHub stars (3,124 vs 2,068). Stars measure visibility, not whether either tool fits your constraints.
- Are parlor and OGAM open source?
- Yes - both are open-source projects on GitHub (parlor: Apache-2.0, OGAM: MIT).
- Where can I find alternatives to parlor or OGAM?
- GraphCanon lists graph-backed alternatives at parlor alternatives and OGAM alternatives (parlor markdown twin, OGAM markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, parlor or OGAM?
- parlor: Steady. OGAM: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for parlor and OGAM?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: parlor trust report; OGAM trust report.