Comparison
hypersigil vs private-gpt
Verdict
Pick hypersigil if hypersigil offers a web interface for non-technical users to manage prompts with multiple AI providers via Docker; pick private-gpt if privateGPT provides a comprehensive API layer to build private, on-premise AI applications leveraging local OpenAI-compatible inference servers. It offers features such as RAG, skills, tools, text-to-SQL functionalities,.
Markdown twin · hypersigil alternatives · private-gpt alternatives
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Trust & integrity
| Signal | hypersigil | private-gpt |
|---|---|---|
| Maintenance | Steady (85d since push) As of 5d · github_public_v1 | Very active (0d since push) As of 2d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 5d · github_public_v1 | Not a fork · Organization account As of 2d · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 As of 5d · osv@v1 | No lockfile (source not queried) As of 6d · 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
- hypersigil
- Prompt management gateway with UI for AI apps.
- private-gpt
- Complete API layer for private AI applications on local models
Stars
- hypersigil
- 26
- private-gpt
- 57k
Forks
- hypersigil
- 2
- private-gpt
- 7.6k
Open issues
- hypersigil
- 0
- private-gpt
- 7
Language
- hypersigil
- Vue
- private-gpt
- Python
Adopt for
- hypersigil
- Hypersigil offers a web interface for non-technical users to manage prompts with multiple AI providers via Docker.
- private-gpt
- PrivateGPT provides a comprehensive API layer to build private, on-premise AI applications leveraging local OpenAI-compatible inference servers. It offers features such as RAG, skills, tools, text-to-SQL functionalities,
Persona
- hypersigil
- -
- private-gpt
- -
Runtime
- hypersigil
- -
- private-gpt
- -
License
- hypersigil
- Other
- private-gpt
- Apache-2.0
Last pushed
- hypersigil
- Apr 17, 2026
- private-gpt
- Jul 14, 2026
Categories
- hypersigil
- Evaluation & Observability, Inference & Serving
- private-gpt
- Inference & Serving
Trust and health
Maintenance
- hypersigil
- Steady (60%)
- private-gpt
- Very active (96%)
Days since push
- hypersigil
- 85d
- private-gpt
- 0d
Open issues (now)
- hypersigil
- 0
- private-gpt
- 7
OSV dependency advisories
- hypersigil
- No published findings from this source as of 2026-07-11
- private-gpt
- No lockfile (source not queried)
Full report
- hypersigil
- Trust report
- private-gpt
- Trust report
Typed relationship
hypersigil alternative private-gptBoth PrivateGPT and hypersigil offer integrated solutions to manage prompts for AI applications, positioning them as alternatives.
Choose hypersigil if…
- hypersigil is primarily Vue; private-gpt is Python.
- License: hypersigil is Other, private-gpt is Apache-2.0.
- Both PrivateGPT and hypersigil offer integrated solutions to manage prompts for AI applications, positioning them as alternatives.
- Tags unique to hypersigil: llm, llm-evaluation, llm-gateway, prompt-engineering.
- Also covers Evaluation & Observability.
- Ideal when you need a user-friendly prompt management tool and your team prefers a UI-driven approach without deep technical knowledge.
When NOT to use hypersigil
- Avoid if your setup requires commercial selling of the software as Hypersigil's license restricts it to internal use only under Apache 2.0 with Commons Clause.
- Not recommended for teams that already have a robust, customized pipeline for prompt management without UI dependency.
Choose private-gpt if…
- private-gpt is primarily Python; hypersigil is Vue.
- License: private-gpt is Apache-2.0, hypersigil is Other.
- Requirements: Min 8 GB RAM; Requires Docker.
- Both PrivateGPT and hypersigil offer integrated solutions to manage prompts for AI applications, positioning them as alternatives.
- Tags unique to private-gpt: ai, ai-tools, local-models, mcp.
- - You need to deploy and operationalize your own locally-run models without relying on cloud APIs.
When NOT to use private-gpt
- - You prefer simplicity and ease-of-use over full control; PrivateGPT requires more setup than using direct cloud-based AI services.
- - Your project does not involve running models locally but strictly relies on public cloud resources for inference server operations.
- - You do not have the technical capability to run an OpenAI-compatible inference server or manage local infrastructure effectively.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (hypersigilhq/hypersigil) · observed Jul 11, 2026
- GitHub forks (hypersigilhq/hypersigil) · observed Jul 11, 2026
- Last push (hypersigilhq/hypersigil) · observed Apr 17, 2026
- License file (Other) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zylon-ai/private-gpt) · observed Jul 15, 2026
- GitHub forks (zylon-ai/private-gpt) · observed Jul 15, 2026
- Last push (zylon-ai/private-gpt) · observed Jul 14, 2026
- License file (Apache-2.0) · observed Jul 15, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: hypersigil 26 · private-gpt 57k (synced Jul 11, 2026).
Common questions
- What is the difference between hypersigil and private-gpt?
- hypersigil: Prompt management gateway with UI for AI apps.. private-gpt: Complete API layer for private AI applications on local models. See the comparison table for live GitHub stats and shared categories.
- When should I choose hypersigil over private-gpt?
- Choose hypersigil over private-gpt when hypersigil is primarily Vue; private-gpt is Python; License: hypersigil is Other, private-gpt is Apache-2.0; Both PrivateGPT and hypersigil offer integrated solutions to manage prompts for AI applications, positioning them as alternatives; Tags unique to hypersigil: llm, llm-evaluation, llm-gateway, prompt-engineering; Also covers Evaluation & Observability; Ideal when you need a user-friendly prompt management tool and your team prefers a UI-driven approach without deep technical knowledge.
- When should I choose private-gpt over hypersigil?
- Choose private-gpt over hypersigil when private-gpt is primarily Python; hypersigil is Vue; License: private-gpt is Apache-2.0, hypersigil is Other; Requirements: Min 8 GB RAM; Requires Docker; Both PrivateGPT and hypersigil offer integrated solutions to manage prompts for AI applications, positioning them as alternatives; Tags unique to private-gpt: ai, ai-tools, local-models, mcp; - You need to deploy and operationalize your own locally-run models without relying on cloud APIs.
- When should I avoid hypersigil?
- Avoid if your setup requires commercial selling of the software as Hypersigil's license restricts it to internal use only under Apache 2.0 with Commons Clause. Not recommended for teams that already have a robust, customized pipeline for prompt management without UI dependency.
- When should I avoid private-gpt?
- - You prefer simplicity and ease-of-use over full control; PrivateGPT requires more setup than using direct cloud-based AI services. - Your project does not involve running models locally but strictly relies on public cloud resources for inference server operations. - You do not have the technical capability to run an OpenAI-compatible inference server or manage local infrastructure effectively.
- Is hypersigil or private-gpt more popular on GitHub?
- private-gpt has more GitHub stars (57,328 vs 26). Stars measure visibility, not whether either tool fits your constraints.
- Are hypersigil and private-gpt open source?
- Yes - both are open-source projects on GitHub (hypersigil: Other, private-gpt: Apache-2.0).
- Where can I find alternatives to hypersigil or private-gpt?
- GraphCanon lists graph-backed alternatives at hypersigil alternatives and private-gpt alternatives (hypersigil markdown twin, private-gpt 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, hypersigil or private-gpt?
- hypersigil: Steady. private-gpt: 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 hypersigil and private-gpt?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hypersigil trust report; private-gpt trust report.