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LIA
Pricing
- Model
- Free
Summary
Most personal AI assistants stop at drafts — they suggest the email, sketch the reply, leave you to send it. LIA is built for the step after the draft: the actual call made, the form actually filled, the reminder actually set across every appointment in your week.
LIA routes a single natural-language request across 19+ specialized agents running in parallel — calendar, contacts, email, browser, smart home — without you specifying which ones. Phone calls go through an ElevenLabs connector: you approve the recipient and purpose, LIA conducts the conversation, and a written summary lands in chat. Browser control handles JavaScript-rendered pages for form filling and data extraction, with progressive screenshots surfaced in the conversation. The approval gate is genuine — the vendor states that unexpected costs or commitments are flagged and held, never auto-accepted. As an open-source beta, the integration surface is wide, but the stability guarantees that come with a production SaaS product are not yet there.
Bottom line: LIA earns its place when you want a self-hosted agent that takes real-world actions with your sign-off; it hits its limits when you need SLA-backed reliability or enterprise audit logs that a beta-stage open-source project cannot yet provide.
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Pros
Sign in to edit- Single-request multi-agent dispatch routes one sentence to whichever agents are relevant — calendar, email, contacts — so you never manually context-switch between tools to complete one intention.
- Approval-gated phone calls let LIA place and conduct real calls on your behalf, so you skip hold queues and callback loops while retaining the decision on who gets called and what gets committed.
- Self-hosted option with 7 LLM provider choices means you can keep data off third-party servers and swap the underlying model without rebuilding your setup.
- Browser control with real-time screenshot feedback handles JavaScript-rendered pages for form filling and data extraction, so sites that block simple scraping still fall inside LIA's reach.
- Iterative series handling — 'a reminder the evening before each of my appointments this week' — executes across every relevant item in one request, which means a task that would require manual repetition for each entry runs once.
Cons
Sign in to edit- Beta-stage open-source status means breaking changes between releases are a known risk; teams building anything customer-facing on top of LIA will find themselves chasing version updates rather than shipping features.
- No API surface is documented on the sourced page, so external tools or dashboards cannot query or trigger LIA programmatically — teams needing integration with existing productivity stacks hit a hard wall and must wait for community contributions or build their own bridge layer.
- Phone call functionality depends on an ElevenLabs connector, which is a paid external dependency; teams that hit ElevenLabs rate limits or pricing thresholds during heavy use have no documented fallback voice provider and must either throttle usage or drop the feature.
- When a team's requirements move from personal productivity to multi-user access, role-based permissions, or audit logging for compliance, LIA has no stated mechanism for any of these — that is the condition under which teams abandon it for a managed agent platform or enterprise assistant infrastructure.
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About
- Platforms
- Web, self-hosted
- API Available
- No
- Self-Hosted
- Yes
- Last Updated
- 2026-07-19T03:18:04.333Z
Best For
Who it's for
- Users wanting an agentic personal assistant with oversight
- Privacy-conscious individuals seeking local or self-hosted options
- Multi-language users needing voice and text support
- Those integrating LLMs with real-world actions like calls and browsing
What it does well
- Manage daily schedule and reminders with one request
- Make and summarize phone calls with user approval
- Control smart home devices via voice
- Automate web form filling and data extraction
- Generate images, diagrams, and visual summaries
Integrations
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Frequently Asked Questions
- Is LIA free?
- Yes — LIA is fully free to use. There is no paid tier.
- Is LIA open source?
- Yes. LIA is open source.
- Can I self-host LIA?
- Yes. LIA supports self-hosting on your own infrastructure.
- When was LIA released?
- LIA was first released in 2026.
- What platforms does LIA support?
- LIA is available on: Web, self-hosted.
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Curated lists that include this category
Personal AI tools that require you to switch between five apps to act on a single sentence are the problem LIA is designed around. LIA is an open-source, self-hostable personal AI agent that interprets one natural-language request and dispatches it across a fleet of specialized agents — calendar, contacts, email, files, tasks, weather, web search, maps, reminders — running in parallel. You do not route the request; LIA does. The result of a sentence like ‘message my wife and move my appointment’ is completed action across two systems, not two draft outputs for you to copy-paste.
The differentiating feature is genuine phone call agency. The vendor describes a flow where LIA places a real call through an ElevenLabs telephony connector: you validate who it calls and why before the call is placed, LIA conducts the conversation autonomously, and a written summary with a one-tap follow-up action is returned to the chat. Any unexpected cost or commitment encountered during the call is surfaced and held for your decision — it is never accepted on your behalf. This is the kind of approval architecture that separates an agent you can trust from one you have to babysit.
LIA supports local or cloud connection for Philips Hue smart home control, autonomous browser navigation with real-time screenshot feedback, AI image generation with cost tracking, and Excalidraw diagram generation from text descriptions. The vendor reports support for 7 LLM providers and 99+ voice languages, with GDPR compliance stated. It runs in beta at version 1.25.6 as of the sourced page. Teams evaluating it for personal productivity or privacy-sensitive local deployment will find the architecture credible; teams that need contractual uptime guarantees, enterprise access controls, or stable API integrations for production pipelines will find a beta-stage project is the wrong foundation.