AnythingLLM vs WeKnora vs Ollama

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.

AnythingLLMMintplex-Labs/anything-llm

WeKnoraTencent/WeKnora

Ollamaollama/ollama

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

Yes

Jobs covered

2 of 3 jobs

1 of 3 jobs

All 3

Popularity and activity (from GitHub)

Stars

67,366

34,870

184,074Top

—

Gain this week

Unknown

—

Signal

Building history

—

Commits / 4 wk

123

274Top

—

Latest release

v1.18.0 · 2026-10-13

v0.8.3 · 2026-10-14

v0.40.6 · 2026-10-16Top

—

Commits / 12 wk

299

976

294

—

People committing / 12 mo

55+

99+

36+

—

Issues opened / closed, 30 days

174 / 155

353 / 323

201 / 125

—

Facts, with sources on each project page

Runs on my machine?Differs

Yes, desktop app or Docker; local by default

Yes, self-hosted via Docker Compose, Kubernetes or a single Lite binary

Yes, installer or Docker; cloud models optional

Hosted by the vendor

Code licenceDiffers

MIT

MIT (third-party components keep their own licences; GitHub shows NOASSERTION)

MIT

—

Model weights licenceDiffers

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

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

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

—

Commercial useDiffers

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

Yes, MIT code; check third-party component and model licences

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

—

Paid services needed?Differs

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

None required with local Ollama; paid model APIs, web search APIs and WeKnora Cloud optional

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

Subscription

HardwareDiffers

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

Standard Docker deployment: 4-core CPU and 8 GB RAM to start, excluding Ollama model weights; x86 CPUs need x86-64-v2; disk scales with knowledge base

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

—

Operating systemsDiffers

Desktop for Mac, Windows and Linux; Docker for servers

Official installation docs describe Docker/Kubernetes servers and a source-built macOS desktop app. Windows/Linux/macOS desktop build targets exist, but the docs warn that release installers are not published

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

—

Setup effortDiffers

Easy; desktop installer, or Docker for multi-user

Medium; Docker Compose with several services, then configure models in the web UI

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

—

Stars over time

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

AnythingLLM
WeKnora
Ollama

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.

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

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

- AnythingLLM: 67,366 GitHub stars, 299 commits in 12 weeks, licence MIT
- WeKnora: 34,870 GitHub stars, 976 commits in 12 weeks, licence MIT (third-party components keep their own licences; GitHub shows NOASSERTION)
- Ollama: 184,074 GitHub stars, 294 commits in 12 weeks, licence MIT

Where they differ:
- Runs on my machine?: AnythingLLM Yes, desktop app or Docker; local by default; WeKnora Yes, self-hosted via Docker Compose, Kubernetes or a single Lite binary; Ollama Yes, installer or Docker; cloud models optional
- Code licence: AnythingLLM MIT; WeKnora MIT (third-party components keep their own licences; GitHub shows NOASSERTION); Ollama MIT
- Model weights licence: AnythingLLM No bundled chat weights; licence depends on the model you pick; WeKnora No bundled chat weights; licence depends on the model you connect; Ollama No bundled weights; each model you pull has its own licence
- Commercial use: AnythingLLM Yes, MIT code; check the licence or terms of the model you use; WeKnora Yes, MIT code; check third-party component and model licences; Ollama Runner is MIT; commercial use of a model depends on that model's licence
- Paid services needed?: AnythingLLM None required; local LLM, embedder and vector DB by default; cloud optional; WeKnora None required with local Ollama; paid model APIs, web search APIs and WeKnora Cloud optional; Ollama None for local use; Ollama Cloud plans optional (Pro $20/month)
- Hardware: AnythingLLM Recommended 16GB RAM, 8-core CPU; GPU recommended on Windows; storage varies by model; WeKnora Standard Docker deployment: 4-core CPU and 8 GB RAM to start, excluding Ollama model weights; x86 CPUs need x86-64-v2; disk scales with knowledge base; Ollama Apple M-series or x86 (CPU only) on Mac; 4GB for Windows binary; RAM not stated
- Operating systems: AnythingLLM Desktop for Mac, Windows and Linux; Docker for servers; WeKnora Official installation docs describe Docker/Kubernetes servers and a source-built macOS desktop app. Windows/Linux/macOS desktop build targets exist, but the docs warn that release installers are not published; Ollama macOS 14+, Windows 10 22H2+, Linux, Docker
- Setup effort: AnythingLLM Easy; desktop installer, or Docker for multi-user; WeKnora Medium; Docker Compose with several services, then configure models in the web UI; Ollama Easy; one-line install script or installer, then ollama run

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. Mintplex-Labs/anything-llm ↗Tencent/WeKnora ↗ollama/ollama ↗

AnythingLLM vs WeKnora vs Ollama

Stars over time

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