Odysseus vs Ollama vs AnythingLLM

Side by side, as alternatives to ChatGPT Plus. Rows that differ are highlighted; the strongest value in a row is marked. Unknown means no source yet.

Odysseusodysseus-dev/odysseus

Ollamaollama/ollama

AnythingLLMMintplex-Labs/anything-llm

ChatGPT Pluspaid product

Cost and coverage

Price

$0 software; you run it

Plus $20/month; Pro from $100/month source ↗

Chat assistant

Partly

Yes

Chat with your documents

Partly

Yes

Web search answers

Partly

Yes

Jobs covered

3 of 3 jobs

1 of 3 jobs

2 of 3 jobs

All 3

Popularity and activity (from GitHub)

Stars

94,080

184,074Top

67,366

—

Gain this week

Unknown

—

Signal

Building history

—

Commits / 4 wk

175Top

123

—

Latest release

Unknown

v0.40.6 · 2026-10-16Top

v1.18.0 · 2026-10-13

—

Commits / 12 wk

499

294

299

—

People committing / 12 mo

100+

36+

55+

—

Issues opened / closed, 30 days

177 / 94

201 / 125

174 / 155

—

Facts, with sources on each project page

Runs on my machine?Differs

Yes, self-hosted with Docker or natively; local models optional

Yes, installer or Docker; cloud models optional

Yes, desktop app or Docker; local by default

Hosted by the vendor

Code licenceDiffers

AGPL-3.0-or-later (copyleft)

MIT

—

Model weights licenceDiffers

No separate model weights

No bundled weights; each model you pull has its own licence

No bundled chat weights; licence depends on the model you pick

—

Commercial useDiffers

Allowed under AGPL-3.0; modified versions offered over a network must share their source

Runner is MIT; commercial use of a model depends on that model's licence

Yes, MIT code; check the licence or terms of the model you use

—

Paid services needed?Differs

None required if you run local models; paid model APIs optional

None for local use; Ollama Cloud plans optional (Pro $20/month)

None required; local LLM, embedder and vector DB by default; cloud optional

Subscription

HardwareDiffers

App is lightweight; local model serving depends on model, GPU and VRAM (NVIDIA and AMD Docker overlays; CPU-only works)

Apple M-series or x86 (CPU only) on Mac; 4GB for Windows binary; RAM not stated

Recommended 16GB RAM, 8-core CPU; GPU recommended on Windows; storage varies by model

—

Operating systemsDiffers

Docker on any host; native Linux, macOS (incl. Apple Silicon) and Windows

macOS 14+, Windows 10 22H2+, Linux, Docker

Desktop for Mac, Windows and Linux; Docker for servers

—

Setup effortDiffers

Medium, Docker Compose (or a Python 3.11+ native install)

Easy; one-line install script or installer, then ollama run

Easy; desktop installer, or Docker for multi-user

—

Stars over time

Switch to Growth % to compare projects of different sizes fairly.

Odysseus
Ollama
AnythingLLM

Focus a point, use arrow keys, or tap for its value.

Tracked daily since 15 Oct 2026. Dashed history: estimated from public records of when people starred the repo. Lines connect observations only; gaps contain no measured points.

Growth % starts at each project's first observed point in the shown range. Zero-star starts are unavailable.

Notes for a video or post

A plain summary with today's date and a link to the sources. Check each project page before you publish.

Odysseus vs Ollama vs AnythingLLM (as alternatives to ChatGPT Plus)
Figures from RepoQuarry, 21 Oct 2026. Sources: https://repoquarry.dev/compare?ids=odysseus,ollama,anything-llm&product=chatgpt-plus

ChatGPT Plus: Plus $20/month; Pro from $100/month
Odysseus: free software; does 3 of 3 ChatGPT Plus jobs
Ollama: free software; does 1 of 3 ChatGPT Plus jobs
AnythingLLM: free software; does 2 of 3 ChatGPT Plus jobs

- Odysseus: 94,080 GitHub stars, 499 commits in 12 weeks, licence AGPL-3.0-or-later (copyleft)
- Ollama: 184,074 GitHub stars, 294 commits in 12 weeks, licence MIT
- AnythingLLM: 67,366 GitHub stars, 299 commits in 12 weeks, licence MIT

Where they differ:
- Runs on my machine?: Odysseus Yes, self-hosted with Docker or natively; local models optional; Ollama Yes, installer or Docker; cloud models optional; AnythingLLM Yes, desktop app or Docker; local by default
- Code licence: Odysseus AGPL-3.0-or-later (copyleft); Ollama MIT; AnythingLLM MIT
- Model weights licence: Odysseus No separate model weights; Ollama No bundled weights; each model you pull has its own licence; AnythingLLM No bundled chat weights; licence depends on the model you pick
- Commercial use: Odysseus Allowed under AGPL-3.0; modified versions offered over a network must share their source; Ollama Runner is MIT; commercial use of a model depends on that model's licence; AnythingLLM Yes, MIT code; check the licence or terms of the model you use
- Paid services needed?: Odysseus None required if you run local models; paid model APIs optional; Ollama None for local use; Ollama Cloud plans optional (Pro $20/month); AnythingLLM None required; local LLM, embedder and vector DB by default; cloud optional
- Hardware: Odysseus App is lightweight; local model serving depends on model, GPU and VRAM (NVIDIA and AMD Docker overlays; CPU-only works); Ollama Apple M-series or x86 (CPU only) on Mac; 4GB for Windows binary; RAM not stated; AnythingLLM Recommended 16GB RAM, 8-core CPU; GPU recommended on Windows; storage varies by model
- Operating systems: Odysseus Docker on any host; native Linux, macOS (incl. Apple Silicon) and Windows; Ollama macOS 14+, Windows 10 22H2+, Linux, Docker; AnythingLLM Desktop for Mac, Windows and Linux; Docker for servers
- Setup effort: Odysseus Medium, Docker Compose (or a Python 3.11+ native install); Ollama Easy; one-line install script or installer, then ollama run; AnythingLLM Easy; desktop installer, or Docker for multi-user

Stars show popularity, not quality. Check each project page before publishing.

Want share images and a ready video description? Open a project's creator kit.

Numbers: GitHub, fetched nightly. Facts: read from each project's own documentation, with the source on its page. How we check. odysseus-dev/odysseus ↗ollama/ollama ↗Mintplex-Labs/anything-llm ↗

Odysseus vs Ollama vs AnythingLLM

Stars over time

Notes for a video or post

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