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Comparison

dograh vs OGAM

Verdict

Pick dograh if self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support; 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 · dograh alternatives · OGAM alternatives

GraphCanon updated Sep 20, 2026

7views this month

dograh logo

dograh

dograh-hq/dograh

★ 5.7kpushed Sep 19, 2026
vs
OGAM logo

OGAM

off-grid-ai/OGAM

★ 3.1kpushed Sep 18, 2026

Trust & integrity

SignaldograhOGAM
Maintenance
Very active (0d 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 · Organization 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
dograh trust reportOGAM trust reportTrust methodology

Tagline

dograh
Self-hosted open source voice AI platform
OGAM
Swiss Army Knife of Offline AI

Stars

dograh
5.7k
OGAM
3.1k

Forks

dograh
1.4k
OGAM
298

Open issues

dograh
86
OGAM
151

Language

dograh
Python
OGAM
TypeScript

Adopt for

dograh
Self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support
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

dograh
-
OGAM
-

Runtime

dograh
-
OGAM
-

License

dograh
BSD-2-Clause
OGAM
MIT License, allowing for free use, modification, and distribution of the software.

Last pushed

dograh
Sep 19, 2026
OGAM
Sep 18, 2026

Categories

dograh
Inference & Serving, Speech & Audio
OGAM
Computer Vision, Developer Tools, Inference & Serving, LLM Frameworks, Speech & Audio

Trust and health

Open issues (now)

dograh
86
OGAM
151

Stars delta

dograh
+632 (30d)
OGAM
+269 (30d)

Open issues delta

dograh
+66 (30d)
OGAM
+14 (30d)

Full report

dograh
Trust report
OGAM
Trust report

Choose dograh if…

  • dograh is primarily Python; OGAM is TypeScript.
  • License: dograh is BSD-2-Clause, OGAM is MIT.
  • Tags unique to dograh: conversational-ai, local-llm, self-hosted, speech-to-text.
  • You need on-premise deployment for better security or data control

When NOT to use dograh

  • Seeking cloud-managed services without self-hosting capabilities
  • Need real-time collaboration with non-local models in the cloud
  • Preference is for tools under different licenses than BSD-2-Clause
  • Must integrate with platforms that lack native telephony support
GitHubDetails

Choose OGAM if…

  • OGAM is primarily TypeScript; dograh is Python.
  • License: OGAM is MIT, dograh is BSD-2-Clause.
  • 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 Computer Vision, 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.
GitHubDetails

Explore

dograh trust report →OGAM trust report →Inference & Serving category →Speech & Audio category →Computer Vision category →Developer Tools category →LLM Frameworks category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: dograh 5.7k · OGAM 3.1k (synced Sep 20, 2026).

Common questions

What is the difference between dograh and OGAM?
dograh: Self-hosted open source voice AI platform. OGAM: Swiss Army Knife of Offline AI. See the comparison table for live GitHub stats and shared categories.
When should I choose dograh over OGAM?
Choose dograh over OGAM when dograh is primarily Python; OGAM is TypeScript; License: dograh is BSD-2-Clause, OGAM is MIT; Tags unique to dograh: conversational-ai, local-llm, self-hosted, speech-to-text; You need on-premise deployment for better security or data control.
When should I choose OGAM over dograh?
Choose OGAM over dograh when OGAM is primarily TypeScript; dograh is Python; License: OGAM is MIT, dograh is BSD-2-Clause; 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 Computer Vision, 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 dograh?
Seeking cloud-managed services without self-hosting capabilities Need real-time collaboration with non-local models in the cloud Preference is for tools under different licenses than BSD-2-Clause Must integrate with platforms that lack native telephony support
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 dograh or OGAM more popular on GitHub?
dograh has more GitHub stars (5,696 vs 3,124). Stars measure visibility, not whether either tool fits your constraints.
Are dograh and OGAM open source?
Yes - both are open-source projects on GitHub (dograh: BSD-2-Clause, OGAM: MIT).
Where can I find alternatives to dograh or OGAM?
GraphCanon lists graph-backed alternatives at dograh alternatives and OGAM alternatives (dograh 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, dograh or OGAM?
dograh: Very active. 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 dograh and OGAM?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dograh trust report; OGAM trust report.

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