Deep Research

with LifeFlow

An open-source SuperAgent harness that researches, codes, and creates. With
the help of sandboxes, memories, tools, skills and subagents, it handles
different levels of tasks that could take minutes to hours.

Case Studies
See how LifeFlow is used in the wild
Agent Skills
Agent Skills are loaded progressively — only what's needed, when it's needed.
Extend LifeFlow with your own skill files, or use our built-in library.
Click to play
/mnt/skills/
deep-search
SKILL.md
biotech.md
computer-science.md
physics.md
frontend-design
SKILL.md
deploy
SKILL.md
scripts
deploy.sh
LifeFlow Agent
Ask LifeFlow anything...
Agent Runtime Environment

We give LifeFlow a "computer", which can execute commands, manage files, and run long tasks — all in a secure Docker-based sandbox

pygame==2.5.0
✔ Installed pygame
✔ Written 156 lines
✔ All sprites loaded
✔ Physics engine OK
✔ 60 FPS stable
Downloaded 12.4 MB

Open-source

AIO Sandbox

We recommend using All-in-One Sandbox that combines Browser, Shell, File, MCP and VSCode Server in a single Docker container.

IsolatedSafePersistentMountable FSLong-running
Whats New in LifeFlow 2.0
LifeFlow is now evolving from a Deep Research agent into a full-stack Super Agent
Context Engineering

Long/Short-term Memory

Now the agent can better understand you
Long Task Running

Planning and Sub-tasking

Plans ahead, reasons through complexity, then executes sequentially or in parallel
Extensible

Skills and Tools

Plug, play, or even swap built-in tools. Build the agent you want.
Persistent

Sandbox with File System

Read, write, run — like a real computer
Flexible

Multi-Model Support

Doubao, DeepSeek, OpenAI, Gemini, etc.
Free

Open Source

MIT License, self-hosted, full control
Join the Community
Contribute brilliant ideas to shape the future of LifeFlow. Collaborate, innovate, and make impacts.