AnythingLLM records 512,269 monthly visits with +12.9% month-over-month growth and Freemium pricing. RSS Filter records 0 monthly visits with 0% growth and Free pricing.
Own your intelligence: a private AI assistant that runs entirely on your machine
Free, open-source RSS filtering with LLM embeddings
| Dimension / Metric | | |
|---|---|---|
| Official Domain | anythingllm.com | rssfilter.sgn.space |
| Pricing Model | Freemium | Free |
| Monthly Visits | 512.27K (512,269) | 0 (0) |
| MoM Traffic Delta | +58.62K (+12.9%) | 0 (0%) |
| Primary Market & Share | 🇺🇸 United States (21.4%) | 🌐 Global (—) |
| Direct Visits / mo | 200.73K | 0 |
| User Rating | 4.7 | 4.5 |
| Supported Platforms | Website | Website |
Own your intelligence: a private AI assistant that runs entirely on your machine
Drop files, notes or sites into a workspace and every document becomes part of the agent's knowledge base without leaving your device.
Records, transcribes and summarizes any meeting locally, delivering action items, key decisions and full transcripts when the call ends.
Run bundled local models or connect cloud and API providers, and switch between them per workspace or take advantage of dynamic model selection.
Schedule recurring work and define custom agent skills so routine tasks run themselves.
Free, open-source RSS filtering with LLM embeddings
Upload an OPML export from your RSS client and get all your existing feeds converted into filtered versions automatically.
Every read article feeds a machine-learning model, so recommendations adapt to your real interests over time.
LLM embeddings compare semantic similarity between articles rather than relying only on keywords or categories.
It works by swapping your original feed URLs, so you keep using your preferred RSS reader with no new app to learn.
Free / Open-sourceHigh-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs.
Free / Open-sourceHigh-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs.
Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceRun and build with open AI models locally or in the cloud
Mood-based book recommendations and reading tracking
Mood-based book recommendations and reading tracking
A paid, ad-free search engine that answers to its users
A paid, ad-free search engine that answers to its users
Free / Open-sourceOpen-source personal AI assistant that runs on your own machine and works from chat apps
Free / Open-sourceOpen-source personal AI assistant that runs on your own machine and works from chat apps
Free / Open-sourceSelf-hosted AI workspace for local and cloud models
Free / Open-sourceSelf-hosted AI workspace for local and cloud models
Free / Open-sourceFeatures a highly customizable agent and plugin workspace, but is less focused on traditional local document RAG workflows.
SpecialistOffers advanced developer frameworks for custom RAG pipelines, but lacks AnythingLLM's ready-to-use user-facing chat application interface.
SpecialistOffers advanced developer frameworks for custom RAG pipelines, but lacks AnythingLLM's ready-to-use user-facing chat application interface.
Free / Open-sourceOffers advanced multi-model management and agent tools, but lacks AnythingLLM's out-of-the-box dedicated document workspace focus.
Free / Open-sourceOffers advanced multi-model management and agent tools, but lacks AnythingLLM's out-of-the-box dedicated document workspace focus.
Free / Open-sourceDelivers a simpler offline desktop experience for local models, but has less robust multi-document RAG workspace features.
Free / Open-sourceDelivers a simpler offline desktop experience for local models, but has less robust multi-document RAG workspace features.
Every leading AI model in one secure team workspace
Every leading AI model in one secure team workspace
SpecialistSpecializes in local audio transcription and meeting summaries, but lacks AnythingLLM's broad general-purpose document RAG capabilities.
SpecialistSpecializes in local audio transcription and meeting summaries, but lacks AnythingLLM's broad general-purpose document RAG capabilities.
