Comparison
Atomic-Chat vs oterm
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 oterm if oterm is a terminal client for Large Language Models written in Python that allows for text-based interactions with LLMS through the command line.
Markdown twin · Atomic-Chat alternatives · oterm alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | Atomic-Chat | oterm |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 19, 2026 · github_public_v1 | Active (17d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 19, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 2026 · 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
- oterm
- the terminal client for LLMs
Stars
- Atomic-Chat
- 1.5k
- oterm
- 2.4k
Forks
- Atomic-Chat
- 178
- oterm
- 138
Open issues
- Atomic-Chat
- 55
- oterm
- 4
Language
- Atomic-Chat
- TypeScript
- oterm
- Python
Adopt for
- Atomic-Chat
- Atomic-Chat is a local AI app and inference engine for agents that runs open-weight LLMs privately offline.
- oterm
- oterm is a terminal client for Large Language Models written in Python that allows for text-based interactions with LLMS through the command line.
Persona
- Atomic-Chat
- -
- oterm
- -
Runtime
- Atomic-Chat
- -
- oterm
- -
License
- Atomic-Chat
- Other
- oterm
- MIT
Last pushed
- Atomic-Chat
- Sep 19, 2026
- oterm
- Sep 2, 2026
Categories
- Atomic-Chat
- Developer Tools, Inference & Serving
- oterm
- Developer Tools, LLM Frameworks
Trust and health
Maintenance
- Atomic-Chat
- Very active (96%)
- oterm
- Active (82%)
Days since push
- Atomic-Chat
- 0d
- oterm
- 17d
Open issues (now)
- Atomic-Chat
- 55
- oterm
- 4
Stars delta
- Atomic-Chat
- +368 (30d)
- oterm
- +21 (30d)
Open issues delta
- Atomic-Chat
- +11 (30d)
- oterm
- -1 (30d)
Owner type
- Atomic-Chat
- Organization
- oterm
- User
Full report
- Atomic-Chat
- Trust report
- oterm
- Trust report
Choose Atomic-Chat if…
- Atomic-Chat is primarily TypeScript; oterm is Python.
- License: Atomic-Chat is Other, oterm is MIT.
- 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 Inference & Serving.
- 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 oterm if…
- oterm is primarily Python; Atomic-Chat is TypeScript.
- License: oterm is MIT, Atomic-Chat is Other.
- Tags unique to oterm: llm, machine-learning, python, terminal.
- Also covers LLM Frameworks.
- Use oterm if you prefer interacting with large language models through the terminal rather than using graphical user interfaces or API calls.
When NOT to use oterm
- Avoid oterm if your project requires a GUI for LLM interactions, as it is strictly text-based and does not provide visual elements
- Do not use oterm if you need real-time collaboration features, as its terminal-based interface is limited in such functionalities compared to web or desktop applications
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 Sep 19, 2026
- GitHub forks (AtomicBot-ai/Atomic-Chat) · observed Sep 19, 2026
- Last push (AtomicBot-ai/Atomic-Chat) · observed Sep 19, 2026
- License file (Other) · observed Sep 19, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ggozad/oterm) · observed Sep 20, 2026
- GitHub forks (ggozad/oterm) · observed Sep 20, 2026
- Last push (ggozad/oterm) · observed Sep 2, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: Atomic-Chat 1.5k · oterm 2.4k (synced Sep 19, 2026).
Common questions
- What is the difference between Atomic-Chat and oterm?
- Atomic-Chat: Local AI app and inference engine for agents. oterm: the terminal client for LLMs. See the comparison table for live GitHub stats and shared categories.
- When should I choose Atomic-Chat over oterm?
- Choose Atomic-Chat over oterm when Atomic-Chat is primarily TypeScript; oterm is Python; License: Atomic-Chat is Other, oterm is MIT; 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 Inference & Serving; When you need to run large language models (LLMs) locally with full privacy and no internet connectivity required.
- When should I choose oterm over Atomic-Chat?
- Choose oterm over Atomic-Chat when oterm is primarily Python; Atomic-Chat is TypeScript; License: oterm is MIT, Atomic-Chat is Other; Tags unique to oterm: llm, machine-learning, python, terminal; Also covers LLM Frameworks; Use oterm if you prefer interacting with large language models through the terminal rather than using graphical user interfaces or API calls.
- 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 oterm?
- Avoid oterm if your project requires a GUI for LLM interactions, as it is strictly text-based and does not provide visual elements Do not use oterm if you need real-time collaboration features, as its terminal-based interface is limited in such functionalities compared to web or desktop applications
- Is Atomic-Chat or oterm more popular on GitHub?
- oterm has more GitHub stars (2,440 vs 1,526). Stars measure visibility, not whether either tool fits your constraints.
- Are Atomic-Chat and oterm open source?
- Yes - both are open-source projects on GitHub (Atomic-Chat: Other, oterm: MIT).
- Where can I find alternatives to Atomic-Chat or oterm?
- GraphCanon lists graph-backed alternatives at Atomic-Chat alternatives and oterm alternatives (Atomic-Chat markdown twin, oterm 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 oterm?
- Atomic-Chat: Very active. oterm: 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 oterm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Atomic-Chat trust report; oterm trust report.