Comparison
vault-ai vs awesome-mlops
Verdict
Pick vault-ai when tags unique to vault-ai: go, generative, artificial-intelligence, chatgpt; pick awesome-mlops when tags unique to awesome-mlops: engineering, data-science, ml, machine-learning.
Markdown twin · vault-ai alternatives · awesome-mlops alternatives
GraphCanon updated today
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Trust & integrity
| Signal | vault-ai | awesome-mlops |
|---|---|---|
| Maintenance | Dormant (367d since push) As of today · github_public_v1 | Dormant (597d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- vault-ai
- OP Vault ChatGPT: Give ChatGPT long-term memory using the OP Stack (OpenAI + Pinecone Vector Database). Upload your own custom knowledge base files (PDF, txt, epub, etc) using a simple React frontend.
- awesome-mlops
- A curated list of references for MLOps
Stars
- vault-ai
- 3.4k
- awesome-mlops
- 14k
Forks
- vault-ai
- 297
- awesome-mlops
- 2.1k
Open issues
- vault-ai
- 50
- awesome-mlops
- 42
Language
- vault-ai
- JavaScript
- awesome-mlops
- -
Adopt for
- vault-ai
- -
- awesome-mlops
- -
Persona
- vault-ai
- -
- awesome-mlops
- -
Runtime
- vault-ai
- -
- awesome-mlops
- -
License
- vault-ai
- MIT
- awesome-mlops
- -
Last pushed
- vault-ai
- Jul 8, 2025
- awesome-mlops
- Nov 21, 2024
Categories
- vault-ai
- Vector Databases
- awesome-mlops
- Model Training, Vector Databases, Inference & Serving
Trust and health
Days since push
- vault-ai
- 367d
- awesome-mlops
- 597d
Open issues (now)
- vault-ai
- 50
- awesome-mlops
- 42
Full report
- vault-ai
- Trust report
- awesome-mlops
- Trust report
Choose vault-ai if…
- Tags unique to vault-ai: go, generative, artificial-intelligence, chatgpt.
- More recently updated (last pushed Jul 8, 2025).
When NOT to use vault-ai
- Last GitHub push was 368 days ago (dormant maintenance, Jul 8, 2025). Validate activity before betting a new project on vault-ai.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Choose awesome-mlops if…
- Tags unique to awesome-mlops: engineering, data-science, ml, machine-learning.
- Also covers Model Training, Inference & Serving.
- More GitHub stars (14k vs 3.4k) - visibility, not fit.
When NOT to use awesome-mlops
- Last GitHub push was 597 days ago (dormant maintenance, Nov 21, 2024). Validate activity before betting a new project on awesome-mlops.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (pashpashpash/vault-ai) · observed Jul 11, 2026
- GitHub forks (pashpashpash/vault-ai) · observed Jul 11, 2026
- Last push (pashpashpash/vault-ai) · observed Jul 8, 2025
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (visenger/awesome-mlops) · observed Jul 11, 2026
- GitHub forks (visenger/awesome-mlops) · observed Jul 11, 2026
- Last push (visenger/awesome-mlops) · observed Nov 21, 2024
- License file (unknown) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: vault-ai 3.4k · awesome-mlops 14k (synced Jul 11, 2026).
Common questions
- What is the difference between vault-ai and awesome-mlops?
- vault-ai: OP Vault ChatGPT: Give ChatGPT long-term memory using the OP Stack (OpenAI + Pinecone Vector Database). Upload your own custom knowledge base files (PDF, txt, epub, etc) using a simple React frontend.. awesome-mlops: A curated list of references for MLOps. See the comparison table for live GitHub stats and shared categories.
- When should I choose vault-ai over awesome-mlops?
- Choose vault-ai over awesome-mlops when Tags unique to vault-ai: go, generative, artificial-intelligence, chatgpt; More recently updated (last pushed Jul 8, 2025).
- When should I choose awesome-mlops over vault-ai?
- Choose awesome-mlops over vault-ai when Tags unique to awesome-mlops: engineering, data-science, ml, machine-learning; Also covers Model Training, Inference & Serving; More GitHub stars (14k vs 3.4k) - visibility, not fit.
- When should I avoid vault-ai?
- Last GitHub push was 368 days ago (dormant maintenance, Jul 8, 2025). Validate activity before betting a new project on vault-ai. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- When should I avoid awesome-mlops?
- Last GitHub push was 597 days ago (dormant maintenance, Nov 21, 2024). Validate activity before betting a new project on awesome-mlops. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Is vault-ai or awesome-mlops more popular on GitHub?
- awesome-mlops has more GitHub stars (13,952 vs 3,388). Stars measure visibility, not whether either tool fits your constraints.
- Are vault-ai and awesome-mlops open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to vault-ai or awesome-mlops?
- GraphCanon lists graph-backed alternatives at vault-ai alternatives and awesome-mlops alternatives (vault-ai markdown twin, awesome-mlops 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, vault-ai or awesome-mlops?
- vault-ai: Dormant. awesome-mlops: 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 vault-ai and awesome-mlops?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: vault-ai trust report; awesome-mlops trust report.