Comparison
MiroFish-Offline vs gpt4all
Verdict
Pick MiroFish-Offline when miroFish-Offline is primarily Python; gpt4all is C++; pick gpt4all when gpt4all is primarily C++; MiroFish-Offline is Python.
Markdown twin · MiroFish-Offline alternatives · gpt4all alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | MiroFish-Offline | gpt4all |
|---|---|---|
| Maintenance | Slowing (112d since push) As of today · github_public_v1 | Dormant (409d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of 4d · github_public_v1 |
| OSV dependency advisories | Published findings 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
- MiroFish-Offline
- Offline multi-agent simulation & prediction engine. English fork of MiroFish with Neo4j + Ollama local stack.
- gpt4all
- Run Local LLMs on Any Device
Stars
- MiroFish-Offline
- 2.4k
- gpt4all
- 77k
Forks
- MiroFish-Offline
- 643
- gpt4all
- 8.3k
Open issues
- MiroFish-Offline
- 36
- gpt4all
- 768
Language
- MiroFish-Offline
- Python
- gpt4all
- C++
Adopt for
- MiroFish-Offline
- -
- 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
- MiroFish-Offline
- -
- gpt4all
- -
Runtime
- MiroFish-Offline
- -
- gpt4all
- -
License
- MiroFish-Offline
- AGPL-3.0
- gpt4all
- MIT
Last pushed
- MiroFish-Offline
- Mar 24, 2026
- gpt4all
- May 27, 2025
Categories
- MiroFish-Offline
- AI Agents, Inference & Serving, LLM Frameworks
- gpt4all
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- MiroFish-Offline
- Slowing (36%)
- gpt4all
- Dormant (18%)
Days since push
- MiroFish-Offline
- 112d
- gpt4all
- 409d
Open issues (now)
- MiroFish-Offline
- 36
- gpt4all
- 768
Owner type
- MiroFish-Offline
- User
- gpt4all
- Organization
OSV dependency advisories
- MiroFish-Offline
- Published findings
- gpt4all
- No lockfile (source not queried)
Full report
- MiroFish-Offline
- Trust report
- gpt4all
- Trust report
Choose MiroFish-Offline if…
- MiroFish-Offline is primarily Python; gpt4all is C++.
- License: MiroFish-Offline is AGPL-3.0, gpt4all is MIT.
- Tags unique to MiroFish-Offline: ai, multi-agent, neo4j, offline.
- Also covers AI Agents.
- MiroFish-Offline ships Docker support for self-hosted deployment.
When NOT to use MiroFish-Offline
- Last GitHub push was 112 days ago (slowing maintenance, Mar 24, 2026). Validate activity before betting a new project on MiroFish-Offline.
- 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++; MiroFish-Offline is Python.
- License: gpt4all is MIT, MiroFish-Offline is AGPL-3.0.
- 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 (nikmcfly/MiroFish-Offline) · observed Jul 15, 2026
- GitHub forks (nikmcfly/MiroFish-Offline) · observed Jul 15, 2026
- Last push (nikmcfly/MiroFish-Offline) · observed Mar 24, 2026
- License file (AGPL-3.0) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (nomic-ai/gpt4all) · observed Jul 11, 2026
- GitHub forks (nomic-ai/gpt4all) · observed Jul 11, 2026
- Last push (nomic-ai/gpt4all) · observed May 27, 2025
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: MiroFish-Offline 2.4k · gpt4all 77k (synced Jul 15, 2026).
Common questions
- What is the difference between MiroFish-Offline and gpt4all?
- MiroFish-Offline: Offline multi-agent simulation & prediction engine. English fork of MiroFish with Neo4j + Ollama local stack.. gpt4all: Run Local LLMs on Any Device. See the comparison table for live GitHub stats and shared categories.
- When should I choose MiroFish-Offline over gpt4all?
- Choose MiroFish-Offline over gpt4all when MiroFish-Offline is primarily Python; gpt4all is C++; License: MiroFish-Offline is AGPL-3.0, gpt4all is MIT; Tags unique to MiroFish-Offline: ai, multi-agent, neo4j, offline; Also covers AI Agents; MiroFish-Offline ships Docker support for self-hosted deployment.
- When should I choose gpt4all over MiroFish-Offline?
- Choose gpt4all over MiroFish-Offline when gpt4all is primarily C++; MiroFish-Offline is Python; License: gpt4all is MIT, MiroFish-Offline is AGPL-3.0; Tags unique to gpt4all: ai-chat, llm-inference; - When you require on-device inference capabilities without reliance on cloud services.
- When should I avoid MiroFish-Offline?
- Last GitHub push was 112 days ago (slowing maintenance, Mar 24, 2026). Validate activity before betting a new project on MiroFish-Offline. 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 MiroFish-Offline or gpt4all more popular on GitHub?
- gpt4all has more GitHub stars (77,386 vs 2,439). Stars measure visibility, not whether either tool fits your constraints.
- Are MiroFish-Offline and gpt4all open source?
- Yes - both are open-source projects on GitHub (MiroFish-Offline: AGPL-3.0, gpt4all: MIT).
- Where can I find alternatives to MiroFish-Offline or gpt4all?
- GraphCanon lists graph-backed alternatives at MiroFish-Offline alternatives and gpt4all alternatives (MiroFish-Offline 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, MiroFish-Offline or gpt4all?
- MiroFish-Offline: Slowing. 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 MiroFish-Offline and gpt4all?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: MiroFish-Offline trust report; gpt4all trust report.