OpenManus vs Kortix (formerly Suna) vs DeerFlow
Side by side, as alternatives to Manus. Rows that differ are highlighted; the strongest value in a row is marked. Unknown means no source yet.
OpenManusFoundationAgents/OpenManus
Kortix (formerly Suna)kortix-ai/suna
DeerFlowbytedance/deer-flow
Manuspaid product
Cost and coverage
Price
$0 software; you run it
$0 software; you run it
$0 software; you run it
See pricing page source ↗
Autonomous web browsing
Partial: Partly
No: No
No: No
Confirmed: Yes
Deep research reports
No: No
No: No
Partial: Partly
Confirmed: Yes
File and code tasks in a sandbox
Partial: Partly
Partial: Partly
Partial: Partly
Confirmed: Yes
Slides generated from a prompt
No: No
No: No
Partial: Partly
Confirmed: Yes
Scheduled agent tasks
No: No
Partial: Partly
Partial: Partly
Confirmed: Yes
Connectors to your apps
No: No
Partial: Partly
Partial: Partly
Confirmed: Yes
Jobs covered
2 of 6 jobs
3 of 6 jobs
5 of 6 jobs
All 6
Popularity and activity (from GitHub)
Stars
58,747
20,288
84,212Top
—
Gain this week
Unknown
Unknown
Unknown
—
Signal
Building history
Building history
Building history
—
Commits / 4 wk
0
2,085Top
679
—
Latest release
v0.3.0 · 2025-04-10
v0.14.3 · 2026-10-20Top
v2.1.0 · 2026-09-24
—
Commits / 12 wk
8
6,162
1,333
—
People committing / 12 mo
3
39
98+
—
Issues opened / closed, 30 days
8 / 28
0 / 0
359 / 335
—
Facts, with sources on each project page
Runs on my machine?Differs
Confirmed: Yes, Python CLI on your own machine; Docker sandbox optional
Confirmed: Self-hosted Docker Compose stack on a laptop, VPS or your own network, or hosted Kortix Cloud
Confirmed: Self-hosted with Docker (recommended) or a local dev setup
Hosted by the vendor
Code licenceDiffers
Confirmed: MIT
No: Elastic License 2.0 (source-available, not OSI)
Confirmed: MIT
—
Model weights licenceDiffers
Confirmed: No separate model weights; you bring your own model API key or a local Ollama model
Confirmed: No separate model weights; you bring your own model API keys or a ChatGPT subscription
Confirmed: No separate model weights; you bring model API keys or host a model yourself (vLLM supported)
—
Commercial useDiffers
Confirmed: Yes, MIT code; model terms depend on the provider or local model you choose
Partial: Internal company use allowed; you may not offer it to others as a hosted or managed service
Confirmed: Yes, MIT code; model and search provider terms apply separately
—
Paid services needed?Differs
Partial: An LLM API key is needed unless you run a local model through Ollama; Browser Use Cloud and Daytona sandboxes are optional
No: A model provider key or ChatGPT plan is required (local models not documented); self-host setup asks for git, GitHub and Pipedream credentials
Partial: Needs a model (API key or self-hosted) and a web search provider such as Tavily or InfoQuest; self-hosted fetchers exist
Subscription
HardwareDiffers
Unknown: Not documented; needs Python 3.12 and Chrome or Chromium; a local model needs your own GPU
Unknown: Not documented beyond Docker for the self-hosted stack
Confirmed: Minimum 4 vCPU, 8 GB RAM, 20 GB free SSD for local use (more for Docker or shared servers); a local LLM is sized separately
—
Operating systemsDiffers
Confirmed: Windows, macOS and Linux (install steps cover each)
Partial: Desktop clients: Windows 64-bit installer, universal macOS DMG and Linux x86_64 AppImage; CLI on macOS/Linux or Windows via WSL. The self-hosted backend is a separate Docker Compose stack
Confirmed: Linux recommended for servers; macOS and Windows (Git Bash) for development or evaluation
—
Setup effortDiffers
Confirmed: Medium; clone, install Python deps with uv or conda, edit config.toml with model keys
Confirmed: Medium; install the CLI, then one command starts the Docker Compose stack and generates config
Confirmed: Medium; make setup writes config, then make docker-start; needs Docker Compose v2.24+ and model and search keys
—
Stars over time
Switch to Growth % to compare projects of different sizes fairly.
- OpenManus
- Kortix (formerly Suna)
- DeerFlow
Tracked daily since 16 Oct 2026. Dashed history: estimated from public records of when people starred the repo. Lines connect observations only; gaps contain no measured points.
Growth % starts at each project's first observed point in the shown range. Zero-star starts are unavailable.
Notes for a video or post
A plain summary with today's date and a link to the sources. Check each project page before you publish.
Want share images and a ready video description? Open a project's creator kit.
Numbers: GitHub, fetched nightly. Facts: read from each project's own documentation, with the source on its page. How we check. FoundationAgents/OpenManus ↗kortix-ai/suna ↗bytedance/deer-flow ↗