LiAgent OS

Build a private, local-first personal AI assistant with governed autonomy.

English README | Chinese README

LiAgent OS is a local-first AI agent OS for building a private personal assistant with governed autonomy across local models and hybrid cloud services.

It combines conversation, tool use, task scheduling, heartbeat execution, human approval, and auditability into one long-lived loop.

The long-term goal is bigger than a chat assistant: LiAgent OS is being built toward an all-around personal AI agent that can understand, organize, monitor, research, and follow through across your daily digital workflows while still keeping you in control.

Product Preview

Web UI

CLI

Discord

Why LiAgent OS

• Long-lived execution instead of one-shot chat.
• Human approval and auditability for risky actions.
• One runtime across CLI, Web, and Discord.
• Local-first by design, with hybrid local-cloud model services as a first-class path.

Current Value

• It keeps following through on tasks instead of stopping at one reply.
• It treats budget, permissions, approvals, and audit logs as runtime concerns.
• It is built for local models first and keeps improving the hybrid path across local and cloud model services.
• It is aiming toward a trusted personal AI agent, not just a smarter chat box.

Latest Public Update

This public update focuses on making LiAgent OS more observable, more consistent, and more reliable during long-running agent workflows.

What’s improved

• Clearer runtime visibility, status updates, and execution feedback.
• More consistent cancellation and runtime-state handling.
• Better transparency across tool execution and fallback paths.
• Stronger recovery behavior for interrupted and preempted runs.
• Unified runtime-status behavior across Web and Discord.
• Improved stability for longer multi-step task chains.

Current Stage

LiAgent OS is already beyond a toy demo. It has working loops for conversation, tools, task orchestration, heartbeat execution, confirmation gates, and runtime observability. The current phase is about turning those capabilities into a more reliable governed autonomy stack for a future full-spectrum personal AI agent.

Next Focus

The next phase continues to push on:

• stronger local-model experience and bootstrap paths
• better hybrid routing across local and cloud model services
• lower latency and tighter cost control for real workloads
• more reliable long-running execution in practical workflows
• deeper privacy, safety, and trust guarantees as first-class product direction

Read The Core Public Docs

• English: README(EN).md
• Localized README (Chinese): README (Chinese)
• Getting started: docs/getting-started.md
• Current boundaries: docs/current-limitations.md
• Architecture: docs/architecture.md
• Roadmap: docs/roadmap.md