AnythingLLM
All-in-one private AI desktop and Docker app that lets you chat with any LLM and your own documents.
AnythingLLM puts a local model engine inside its Docker image
◆Recent moves
- 18d ago
Docker gets an optional built-in LLM through AMD Lemonade
Docker deployments gain an optional built-in LLM through AMD's Lemonade server, removing the need for a separate Ollama or LM Studio container. It extends the embedded-engine approach from desktop to server, and it stays off unless the operator enables it.
View source ↗ - 1mo ago
Attachment, embed allowlist and agent tool parameter fixes
A contributor-driven fix release covering attachments, Kubernetes probes, embed allowlist origins and agent tool parameters. It is maintenance between feature drops, with several fixes aimed at provider-specific behavior.
View source ↗ - 1mo ago
Firecrawl search, plus Gemini and llmman image generation
Adds a Firecrawl web-search provider and image generation through Gemini and llmman, alongside collector and vector-score fixes. Provider breadth keeps growing, now on the image and search sides.
View source ↗ - 1mo ago
LLMman replaces Docker Model Runner; Vertex AI arrives
LLMman replaces Docker Model Runner as a local provider, and Google Vertex AI, a generate-image agent skill and You.com as default web search are added. Provider breadth keeps widening on the local, cloud and search sides at once.
View source ↗ - 2mo ago
Foundry Local and GenieX NPU engines ship embedded on Windows
Two local inference engines land embedded: Microsoft's Foundry Local now runs through a native SDK with no separate install, and Qualcomm's GenieX replaces the previous Snapdragon NPU path, deleting old engine models on upgrade. It continues the provider-breadth work that has defined every release since the hybrid router rather than opening a new surface, though the vendor partnerships and NPU focus make it the most hardware-specific release yet.
View source ↗ - 3mo ago
Image generation via /img, folder drag-and-drop, real abort
v1.16.0 adds image generation via /img on supported providers, with attachments for edits and follow-ups, plus folder drag-and-drop that preserves hierarchy and lazy loading for large document sets. New modality, but routed through existing providers rather than changing the product's direction.
View source ↗