
OpenAnimus
Maintained
27 linking domains
Emerging
- For
- Software maintainers and teams running coding agents on real repositories who need reviewed, evidenced changes
- Activity
- Maintainedsite updated 5 months ago
- Used for
- Route agent tasks by risk before a run starts
- Collect changed files, checks and blockers from agent runs
- Stage review packages for human approval before publishing to GitHub
- Launched on Product Hunt on Jun 16, 2026Product Hunt ↗
Figure and bar: visits/mo, estimate · year: online since
- #1

Sanity.ioMCP · sign-in
Stores structured content in a content lake and runs an editing studio, functions and content agents that automate publishing tasks.
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Typeface
Orchestrates marketing campaigns using AI agents to manage content creation, approvals, and publishing across channels while keeping brand consistency.
10.1kContact sales - #3

DOJO AI
Connects marketing data and tools, identifies issues and opportunities, runs automated workflows across channels.
143ActiveFrom $999/mo - #4

CrawloraMCP · open
Returns structured JSON from public websites through platform-specific endpoints for search, maps, commerce and social data, with anti-bot handling.
126ActiveFrom $9/mo2026 - #5

BuronMCP · sign-in
Runs SEO, content, ad and analytics workstreams through agents that read your data, draft assets and queue changes for approval.
31Active - #6

Bot Commander
Runs a team of voice-directed AI agents on your own computer to handle marketing, CRM, scheduling and content tasks.
16Active
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betaThree tools from the Atlas for the job you describe, each with what fits and what does not.
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Sign in to leave a noteWhat is OpenAnimus?
Local-first review cockpit that gathers repo context and agent run evidence, stages human approval, and publishes approved GitHub changes. It is listed in the Atlas under Marketing.
Who is OpenAnimus for?
Software maintainers and teams running coding agents on real repositories who need reviewed, evidenced changes
Do people use OpenAnimus?
Emerging.
Is OpenAnimus still maintained?
Maintained: site updated 5 months ago.
How we read a tool
No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.
- Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
- Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
- Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
- The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.
How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.
How we read every tool → · By INITE Atlas Desk
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