Comparison
Atomic-Chat vs private-gpt
Verdict
Pick Atomic-Chat if atomic-Chat is a local AI app and inference engine for agents that runs open-weight LLMs privately offline; 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 · Atomic-Chat alternatives · private-gpt alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | Atomic-Chat | private-gpt |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1d · github_public_v1 | Very active (1d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- Atomic-Chat
- Local AI app and inference engine for agents
- private-gpt
- Complete API layer for private AI applications on local models
Stars
- Atomic-Chat
- 1.4k
- private-gpt
- 57k
Forks
- Atomic-Chat
- 157
- private-gpt
- 7.6k
Open issues
- Atomic-Chat
- 36
- private-gpt
- 3
Language
- Atomic-Chat
- TypeScript
- private-gpt
- Python
Adopt for
- Atomic-Chat
- Atomic-Chat is a local AI app and inference engine for agents that runs open-weight LLMs privately offline.
- 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
- Atomic-Chat
- -
- private-gpt
- -
Runtime
- Atomic-Chat
- -
- private-gpt
- -
License
- Atomic-Chat
- Other
- private-gpt
- Apache-2.0
Last pushed
- Atomic-Chat
- Aug 24, 2026
- private-gpt
- Aug 6, 2026
Categories
- Atomic-Chat
- Developer Tools, Inference & Serving
- private-gpt
- Inference & Serving
Trust and health
Days since push
- Atomic-Chat
- 0d
- private-gpt
- 1d
Open issues (now)
- Atomic-Chat
- 36
- private-gpt
- 3
Stars delta
- Atomic-Chat
- +205 (30d)
- private-gpt
- Unknown
Open issues delta
- Atomic-Chat
- -8 (30d)
- private-gpt
- Unknown
Full report
- Atomic-Chat
- Trust report
- private-gpt
- Trust report
Choose Atomic-Chat if…
- Atomic-Chat is primarily TypeScript; private-gpt is Python.
- License: Atomic-Chat is Other, private-gpt is Apache-2.0.
- Requirements: Atomic-Chat requires TypeScript for development.; Ensure you have the necessary hardware and setup to run open-weight LLM models locally..
- Tags unique to Atomic-Chat: ai-agent, local-first, open-source.
- Also covers Developer Tools.
- When you need to run large language models (LLMs) locally with full privacy and no internet connectivity required.
When NOT to use Atomic-Chat
- Avoid Atomic-Chat when you need cloud-based AI services that offer automatic updates and maintenance, as it focuses on local offline deployment.
- Do not choose this tool if your project does not require deep-seek capabilities or self-hosted solutions but prefers more mainstream LLMs like Qwen.
Choose private-gpt if…
- private-gpt is primarily Python; Atomic-Chat is TypeScript.
- License: private-gpt is Apache-2.0, Atomic-Chat is Other.
- Requirements: Min 8 GB RAM; Requires Docker.
- Tags unique to private-gpt: ai, ai-tools, local-models, mcp.
- private-gpt ships Docker support for self-hosted deployment.
- - 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 (AtomicBot-ai/Atomic-Chat) · observed Aug 25, 2026
- GitHub forks (AtomicBot-ai/Atomic-Chat) · observed Aug 25, 2026
- Last push (AtomicBot-ai/Atomic-Chat) · observed Aug 24, 2026
- License file (Other) · observed Aug 25, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zylon-ai/private-gpt) · observed Aug 8, 2026
- GitHub forks (zylon-ai/private-gpt) · observed Aug 8, 2026
- Last push (zylon-ai/private-gpt) · observed Aug 6, 2026
- License file (Apache-2.0) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Atomic-Chat 1.4k · private-gpt 57k (synced Aug 25, 2026).
Common questions
- What is the difference between Atomic-Chat and private-gpt?
- Atomic-Chat: Local AI app and inference engine for agents. 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 Atomic-Chat over private-gpt?
- Choose Atomic-Chat over private-gpt when Atomic-Chat is primarily TypeScript; private-gpt is Python; License: Atomic-Chat is Other, private-gpt is Apache-2.0; Requirements: Atomic-Chat requires TypeScript for development.; Ensure you have the necessary hardware and setup to run open-weight LLM models locally.; Tags unique to Atomic-Chat: ai-agent, local-first, open-source; Also covers Developer Tools; When you need to run large language models (LLMs) locally with full privacy and no internet connectivity required.
- When should I choose private-gpt over Atomic-Chat?
- Choose private-gpt over Atomic-Chat when private-gpt is primarily Python; Atomic-Chat is TypeScript; License: private-gpt is Apache-2.0, Atomic-Chat is Other; Requirements: Min 8 GB RAM; Requires Docker; Tags unique to private-gpt: ai, ai-tools, local-models, mcp; private-gpt ships Docker support for self-hosted deployment; - You need to deploy and operationalize your own locally-run models without relying on cloud APIs.
- When should I avoid Atomic-Chat?
- Avoid Atomic-Chat when you need cloud-based AI services that offer automatic updates and maintenance, as it focuses on local offline deployment. Do not choose this tool if your project does not require deep-seek capabilities or self-hosted solutions but prefers more mainstream LLMs like Qwen.
- 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 Atomic-Chat or private-gpt more popular on GitHub?
- private-gpt has more GitHub stars (57,415 vs 1,363). Stars measure visibility, not whether either tool fits your constraints.
- Are Atomic-Chat and private-gpt open source?
- Yes - both are open-source projects on GitHub (Atomic-Chat: Other, private-gpt: Apache-2.0).
- Where can I find alternatives to Atomic-Chat or private-gpt?
- GraphCanon lists graph-backed alternatives at Atomic-Chat alternatives and private-gpt alternatives (Atomic-Chat 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, Atomic-Chat or private-gpt?
- Atomic-Chat: Very active. 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 Atomic-Chat and private-gpt?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Atomic-Chat trust report; private-gpt trust report.