Openclaw vs AgenticSeek

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.

Also replaces Manus: + DeerFlow + OpenManus + Skyvern + Kortix (formerly Suna)+ OWL + Nanobrowser

Openclawopenclaw/openclaw

AgenticSeekFosowl/agenticSeek

Manuspaid product

Cost and coverage

Price

$0 software; you run it

See pricing page source ↗

Autonomous web browsing

Partly

Yes

Deep research reports

Yes

File and code tasks in a sandbox

Partly

Yes

Slides generated from a prompt

Yes

Scheduled agent tasks

Partly

Yes

Connectors to your apps

Yes

Jobs covered

1 of 6 jobs

2 of 6 jobs

All 6

Popularity and activity (from GitHub)

Stars

392,686Top

27,515

—

Gain this week

Unknown

—

Signal

Building history

—

Commits / 4 wk

14,028Top

—

Latest release

v2026.10.5 · 2026-10-18

Unknown

—

Commits / 12 wk

42,127

—

People committing / 12 mo

498+

—

Issues opened / closed, 30 days

5573 / 4501

0 / 0

—

Facts, with sources on each project page

Runs on my machine?Differs

Yes, self-hosted gateway; hosted or local model providers

Yes, fully local with Docker services and a local model

Hosted by the vendor

Code licenceDiffers

MIT

GPL-3.0 (copyleft)

—

Model weights licenceDiffers

No bundled weights; depends on the hosted or local model you connect

No separate model weights; you choose a local model (Ollama, LM Studio) or a cloud API

—

Commercial useDiffers

Yes, MIT code

GPL-3.0 code allows commercial use if derived work stays GPL; local model terms vary

—

Paid services needed?Differs

No OpenClaw paid tier; configured model/provider or hosting costs may apply

None required with a local model; cloud LLM APIs are optional

Subscription

HardwareDiffers

Gateway with cloud models: minimum 1 GB RAM, 1 core, 500 MB free disk, 64-bit OS; 2 GB+ RAM recommended (Raspberry Pi guide)

For local models, a GPU that can run a 14B model (Magistral, Qwen, DeepSeek); with a cloud API, no GPU needed

—

Operating systemsDiffers

Windows, macOS and Linux installers

Windows, macOS and Linux with Docker Desktop or Docker Engine

—

Setup effortDiffers

Installer and onboarding wizard; configure model access and channels

Medium; Python 3.10, Docker Compose services (SearxNG, Redis), a local model server and .env config

—

Stars over time

Switch to Growth % to compare projects of different sizes fairly.

Openclaw
AgenticSeek

Focus a point, use arrow keys, or tap for its value.

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.

Openclaw vs AgenticSeek (as alternatives to Manus)
Figures from RepoQuarry, 21 Oct 2026. Sources: https://repoquarry.dev/compare?ids=openclaw,agenticseek&product=manus

Manus: See pricing page
Openclaw: free software; does 1 of 6 Manus jobs
AgenticSeek: free software; does 2 of 6 Manus jobs

- Openclaw: 392,686 GitHub stars, 42,127 commits in 12 weeks, licence MIT
- AgenticSeek: 27,515 GitHub stars, 30 commits in 12 weeks, licence GPL-3.0 (copyleft)

Where they differ:
- Runs on my machine?: Openclaw Yes, self-hosted gateway; hosted or local model providers; AgenticSeek Yes, fully local with Docker services and a local model
- Code licence: Openclaw MIT; AgenticSeek GPL-3.0 (copyleft)
- Model weights licence: Openclaw No bundled weights; depends on the hosted or local model you connect; AgenticSeek No separate model weights; you choose a local model (Ollama, LM Studio) or a cloud API
- Commercial use: Openclaw Yes, MIT code; AgenticSeek GPL-3.0 code allows commercial use if derived work stays GPL; local model terms vary
- Paid services needed?: Openclaw No OpenClaw paid tier; configured model/provider or hosting costs may apply; AgenticSeek None required with a local model; cloud LLM APIs are optional
- Hardware: Openclaw Gateway with cloud models: minimum 1 GB RAM, 1 core, 500 MB free disk, 64-bit OS; 2 GB+ RAM recommended (Raspberry Pi guide); AgenticSeek For local models, a GPU that can run a 14B model (Magistral, Qwen, DeepSeek); with a cloud API, no GPU needed
- Operating systems: Openclaw Windows, macOS and Linux installers; AgenticSeek Windows, macOS and Linux with Docker Desktop or Docker Engine
- Setup effort: Openclaw Installer and onboarding wizard; configure model access and channels; AgenticSeek Medium; Python 3.10, Docker Compose services (SearxNG, Redis), a local model server and .env config

Stars show popularity, not quality. Check each project page before publishing.

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. openclaw/openclaw ↗Fosowl/agenticSeek ↗

Openclaw vs AgenticSeek

Stars over time

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