Home/Compare/magic vs gpt4all

Comparison

magic vs gpt4all

Verdict

Pick magic when magic is primarily TypeScript; gpt4all is C++; pick gpt4all when gpt4all is primarily C++; magic is TypeScript.

Markdown twin · magic alternatives · gpt4all alternatives

GraphCanon updated today

magic logo

magic

dtyq/magic

4.9kpushed Jun 11, 2026
vs
gpt4all logo

gpt4all

nomic-ai/gpt4all

77kpushed May 27, 2025

Trust & integrity

Signalmagicgpt4all
Maintenance
Steady (34d since push)
As of today · github_public_v1
Dormant (409d since push)
As of 4d · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of 4d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of today · osv@v1
No lockfile (source not queried)
As of 4d · 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

magic
Magicrew. The first open-source all-in-one AI productivity platform (Generalist AI Agent + Workflow Engine + IM + Online collaborative office system)
gpt4all
Run Local LLMs on Any Device

Stars

magic
4.9k
gpt4all
77k

Forks

magic
539
gpt4all
8.3k

Open issues

magic
10
gpt4all
768

Language

magic
TypeScript
gpt4all
C++

Adopt for

magic
-
gpt4all
GPT4All is an open-source project designed to facilitate the local deployment of large language models (LLMs). It supports commercial usage with a permissive MIT license and is implemented in C++.

Persona

magic
-
gpt4all
-

Runtime

magic
-
gpt4all
-

License

magic
Other
gpt4all
MIT

Last pushed

magic
Jun 11, 2026
gpt4all
May 27, 2025

Categories

magic
AI Agents, Inference & Serving, LLM Frameworks
gpt4all
Inference & Serving, LLM Frameworks

Trust and health

Maintenance

magic
Steady (60%)
gpt4all
Dormant (18%)

Days since push

magic
34d
gpt4all
409d

Open issues (now)

magic
10
gpt4all
768

Full report

Choose magic if…

  • magic is primarily TypeScript; gpt4all is C++.
  • License: magic is Other, gpt4all is MIT.
  • Tags unique to magic: agent, agi, ai, gpt.
  • Also covers AI Agents.

When NOT to use magic

  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Choose gpt4all if…

  • gpt4all is primarily C++; magic is TypeScript.
  • License: gpt4all is MIT, magic is Other.
  • Tags unique to gpt4all: ai-chat, llm-inference.
  • - When you require on-device inference capabilities without reliance on cloud services.

When NOT to use gpt4all

  • - In environments strictly requiring models supported by mainstream frameworks like TensorFlow or PyTorch, as GPT4All focuses on its standalone implementation.
  • - When the project demands seamless integration with popular cloud infrastructures that don't align well with local deployments.

Explore

Sources

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

GitHub stars on cards: magic 4.9k · gpt4all 77k (synced Jul 15, 2026).

Common questions

What is the difference between magic and gpt4all?
magic: Magicrew. The first open-source all-in-one AI productivity platform (Generalist AI Agent + Workflow Engine + IM + Online collaborative office system). gpt4all: Run Local LLMs on Any Device. See the comparison table for live GitHub stats and shared categories.
When should I choose magic over gpt4all?
Choose magic over gpt4all when magic is primarily TypeScript; gpt4all is C++; License: magic is Other, gpt4all is MIT; Tags unique to magic: agent, agi, ai, gpt; Also covers AI Agents.
When should I choose gpt4all over magic?
Choose gpt4all over magic when gpt4all is primarily C++; magic is TypeScript; License: gpt4all is MIT, magic is Other; Tags unique to gpt4all: ai-chat, llm-inference; - When you require on-device inference capabilities without reliance on cloud services.
When should I avoid magic?
AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
When should I avoid gpt4all?
- In environments strictly requiring models supported by mainstream frameworks like TensorFlow or PyTorch, as GPT4All focuses on its standalone implementation. - When the project demands seamless integration with popular cloud infrastructures that don't align well with local deployments.
Is magic or gpt4all more popular on GitHub?
gpt4all has more GitHub stars (77,386 vs 4,926). Stars measure visibility, not whether either tool fits your constraints.
Are magic and gpt4all open source?
Yes - both are open-source projects on GitHub (magic: Other, gpt4all: MIT).
Where can I find alternatives to magic or gpt4all?
GraphCanon lists graph-backed alternatives at magic alternatives and gpt4all alternatives (magic markdown twin, gpt4all 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, magic or gpt4all?
magic: Steady. gpt4all: Dormant. 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 magic and gpt4all?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: magic trust report; gpt4all trust report.

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