# AnythingLLM v1.13.0 — AnythingLLM v1.13.0 - A Hybrid AI Experience - Product: AnythingLLM (https://whatsnew.fyi/product/anythingllm) - Vendor: Mintplex Labs - Date: 2026-05-26 - Version: v1.13.0 - Original notes: https://github.com/Mintplex-Labs/anything-llm/releases/tag/v1.13.0 - Permalink: https://whatsnew.fyi/product/anythingllm/releases/v1.13.0 - Labels: Platforms: Desktop What's New is an index, not a publisher: every entry below links to the vendor's own release notes, which are the authoritative source. Entries are labelled where they are hand-curated sample data, pre-releases, or drawn from a secondary source such as a developer blog. Reuse: the summaries, labels and curation here are © What's New. Quote freely with attribution and a link back; wholesale republication of the corpus is not permitted — terms: https://whatsnew.fyi/terms. The vendors' own release notes remain their publishers'. --- - **added** — Model Router feature that enables intelligent hybrid AI routing between local and cloud models based on user-defined rules including keywords, token counts, time of day, and image attachments - **added** — Scheduled Jobs feature that automates recurring AI agent tasks on user-defined schedules with visual Cron Builder and no technical knowledge required - **added** — Automatic memory extraction and personalization that stores memories in a memory bank to personalize AI assistant responses - **added** — Workspace-specific and global memories that are injected into the system prompt to enhance personalization - **added** — Support for LLM-classified rules in Model Router that understand intent in plain English - **added** — Push notifications when scheduled jobs finish execution - **added** — Complete run history logging for scheduled jobs including agent reasoning, tool calls, and generated files - **added** — Visual memory management interface with options to manually add memories to the memory bank This release is focused on improving the agent experience and adding new features to the agent system as well as moving towards a more passive, personal, and **hybrid** AI experience. ##### Model Router: The First Consumer Hybrid AI Experience The Model Router feature is the first-ever user-defined intelligent routing system that seamlessly blends local and cloud AI into a single, unified experience that is entirely under your control. Until now, you had to choose: run everything locally, or send everything to the cloud. That tradeoff is over. With Model Router, you define the rules. Every message you send is automatically analyzed and routed to the perfect model for that specific task, whether that's a lightweight local model for quick questions, a reasoning model for complex math, or your most powerful cloud model for nuanced legal analysis. All from the same chat. All invisible to the user. All defined by you. **What makes this so exciting:** - **Hybrid AI.** Mix and match local models (Ollama, LM Studio, etc.) with cloud providers (OpenAI, Anthropic, Google) in a single conversation. No manual switching! - **You're in complete control.** Create [calculated rules](https://docs.anythingllm.com/model-router/setup#calculated-rules) that trigger on keywords, token counts, time of day, or image attachments **instantaneously**. Or use [LLM-classified rules](https://docs.anythingllm.com/model-router/setup#llm-classified-rules) that understand intent in plain English. - **Save money without sacrificing quality.** Route simple queries to cheap or local models. Reserve expensive API calls for the messages that actually need them. - **Intelligent caching.** Our advanced sticky routing system keeps you on the same model during a conversation thread, so you're not bouncing between models on every message. This is, we believe, a fundamental shift in how AI assistants work. For the first time, you get the privacy of local models, the power of cloud models, and the intelligence to know when to use each. And it's 100% open source. [Learn how to set up your first router →](https://docs.anythingllm.com/model-router/setup) chat-routed ##### Scheduled Jobs: Your AI That Works While You Don't What if your AI assistant could work for you in the background, automatically, on a schedule you define, without you lifting a finger? **Scheduled Jobs** turns AnythingLLM into an always-on AI workforce. Create recurring tasks that run themselves: morning briefings, weekly reports, data monitoring, research digests. Anything you'd normally ask an agent to do, but automated and hands-free. Has job specific skills you can set so the model is not overwhelmed with tools and outcomes are repeatable. **Why this changes everything:** - **Set it and forget it.** Define a prompt, pick your tools, choose a schedule, and walk away. Your agent runs exactly when you need it: every morning at 8 AM, every Monday at noon, every hour on the hour. - **No technical knowledge required.** Our visual Cron Builder lets you schedule jobs with simple dropdowns. No cryptic cron syntax, no command line, no code. Just point and click. - **Full agent power, fully automated.** Scheduled jobs have access to the same tools as your regular chats: web search, document analysis, custom skills, MCP integrations, and more. If an agent can do it in a conversation, it can do it on a schedule. - **Complete run history.** Every execution is logged with the agent's full reasoning, tool calls, generated files, and final response. Review past runs anytime, or continue where the agent left off in a new thread. - **Push notifications.** Get alerted the moment a job finishes, even when AnythingLLM is in the background. Click to jump straight to results. Enterprise tools charge thousands for this kind of automation. Cloud-only pl _[Truncated at 4000 characters — full notes: https://github.com/Mintplex-Labs/anything-llm/releases/tag/v1.13.0]_