Home/Compare/tome vs llm

Comparison

tome vs llm

Verdict

Pick tome if tome is a Svelte-built desktop client for LLMs and MCP that targets broad accessibility; pick llm if decision-critical facts for 'llm'.

Markdown twin · tome alternatives · llm alternatives

GraphCanon updated Sep 19, 2026

18views this month

tome logo

tome

runebookai/tome

631pushed Oct 20, 2025
vs
llm logo

llm

simonw/llm

12kpushed Sep 2, 2026

Trust & integrity

Signaltomellm
Maintenance
Archived (333d since push)
As of Sep 19, 2026 · github_public_v1
Very active (4d since push)
As of Sep 7, 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 7, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Jul 19, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 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

tome
LLM desktop client for anyone
llm
Access large language models from the command-line

Stars

tome
631
llm
12k

Forks

tome
45
llm
978

Open issues

tome
2
llm
689

Language

tome
Svelte
llm
Python

Adopt for

tome
tome is a Svelte-built desktop client for LLMs and MCP that targets broad accessibility.
llm
Decision-critical facts for 'llm'

Persona

tome
-
llm
-

Runtime

tome
-
llm
-

License

tome
Apache-2.0
llm
Apache-2.0

Last pushed

tome
Oct 20, 2025
llm
Sep 2, 2026

Categories

tome
Inference & Serving, LLM Frameworks
llm
Inference & Serving, LLM Frameworks

Trust and health

Maintenance

tome
Archived (8%)
llm
Very active (96%)

Days since push

tome
333d
llm
4d

Archived on GitHub

tome
Yes
llm
No

Open issues (now)

tome
2
llm
689

Stars delta

tome
+4 (30d)
llm
+149 (30d)

Open issues delta

tome
-13 (30d)
llm
+25 (30d)

Owner type

tome
Organization
llm
User

OSV dependency advisories

tome
Published findings
llm
No lockfile (source not queried)

Full report

Choose tome if…

  • tome is primarily Svelte; llm is Python.
  • Tags unique to tome: gemini, llm-client, localai, mcp-client.
  • You require a no-code local client to interface with various LLM services and MCP

When NOT to use tome

  • You need capabilities beyond just a desktop client, such as comprehensive model training or large-scale server administration features
  • Advanced customization of the frontend is important as tome's Svelte framework might restrict deeper modifications without significant workarounds

Choose llm if…

  • llm is primarily Python; tome is Svelte.
  • Requirements: - Installation supports multiple methods including `pip`, Homebrew (with caveats noted), `pipx`, and `uv`.; - Requires an OpenAI API key for certain functionalities..
  • Tags unique to llm: ai, llms.
  • - You prioritize command-line interaction over graphical interfaces, as llm is designed to provide a seamless CLI experience with multiple installation methods.

When NOT to use llm

  • - If you require real-time visual feedback or a graphical interface for interacting with language models, as llm is strictly command-line-based.
  • - If your primary focus is on model training rather than inference or serving, since llm is aimed at accessing and using pre-trained models.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: tome 631 · llm 12k (synced Sep 19, 2026).

Common questions

What is the difference between tome and llm?
tome: LLM desktop client for anyone. llm: Access large language models from the command-line. See the comparison table for live GitHub stats and shared categories.
When should I choose tome over llm?
Choose tome over llm when tome is primarily Svelte; llm is Python; Tags unique to tome: gemini, llm-client, localai, mcp-client; You require a no-code local client to interface with various LLM services and MCP.
When should I choose llm over tome?
Choose llm over tome when llm is primarily Python; tome is Svelte; Requirements: - Installation supports multiple methods including pip, Homebrew (with caveats noted), pipx, and uv.; - Requires an OpenAI API key for certain functionalities.; Tags unique to llm: ai, llms; - You prioritize command-line interaction over graphical interfaces, as llm is designed to provide a seamless CLI experience with multiple installation methods.
When should I avoid tome?
You need capabilities beyond just a desktop client, such as comprehensive model training or large-scale server administration features Advanced customization of the frontend is important as tome's Svelte framework might restrict deeper modifications without significant workarounds
When should I avoid llm?
- If you require real-time visual feedback or a graphical interface for interacting with language models, as llm is strictly command-line-based. - If your primary focus is on model training rather than inference or serving, since llm is aimed at accessing and using pre-trained models.
Is tome or llm more popular on GitHub?
llm has more GitHub stars (12,473 vs 631). Stars measure visibility, not whether either tool fits your constraints.
Are tome and llm open source?
Yes - both are open-source projects on GitHub (tome: Apache-2.0, llm: Apache-2.0).
Where can I find alternatives to tome or llm?
GraphCanon lists graph-backed alternatives at tome alternatives and llm alternatives (tome markdown twin, llm 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, tome or llm?
tome: Archived. llm: 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 tome and llm?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: tome trust report; llm trust report.

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