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Stars and mentions · Last 30 days, Oct 5 – Nov 3
Top repositories
iblai’s repositories ranked by new stars, as on trending.
Contributes to
Repositories outside iblai’s account where iblai opened or reviewed pull requests in the past 365 days.
Who noticed iblai
Everyone who starred or forked iblai’s repositories since the archive began in 2011.
Notable accounts
Ordered by the stars their own repositories have received.
Biggest fans
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Breakout weeks
Each repository’s best week of new stars, with the release published around it.
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Repositories earn awards by reaching the top three in a completed trending day or week.
A repository earns an award for finishing first, second or third in a completed trending day or week, ranked by new stars, new forks or pull request authors. Awards follow a repository through renames and transfers and count toward its current owner. Weeks run Monday to Sunday, UTC.
Mentions
The controls run from model selection and datasets to guardrails, spend caps and a support inbox. Story: ibl.ai Release: github.com/iblai/os/releases/tag/v0.181.0
release notes: github.com/iblai/lms/releases/tag/skills-v0.97.0 every discussions view is now a URL: ?view=my-posts|topics|learners, plus topic, learner and thread. a moderator can send a colleague a link that opens the exact thread. an iframe cannot do that.
release notes: github.com/iblai/os/releases/tag/v0.175.0 while it drives, chrome shows its own "is debugging this browser" bar; close it and the run ends. no screenshot is taken while a password or card field is on the page, and those values never leave the browser.
release notes: github.com/iblai/infra-cli/releases/tag/v2.0.0 the detail I like: leave the S3 key unset and nothing is written. a fresh server renders without it, and a resetup keeps the key the server already has. your storage, your uploads, your alerts.
the repo: iblai/recruit live at recruit.ibl.ai. a QR code at a college fair becomes a prospect in your funnel, with an application and a tag. built with iblai/vibe, so it doubles as a worked example of an app shipped on ibl.ai.
Shipping one AI agent experience across web, desktop, and mobile usually means maintaining several clients. ibl.ai/os is an open-source frontend platform for teams building and deploying customizable conversational AI agents. It helps you move from agent configuration to a multi-surface client faster by bringing agent settings, data-grounding options, and delivery surfaces into one codebase. Key features: • Agent configuration – set LLMs, system prompts, tools, and safety filters for each agent • Data grounding – upload documents, connect Google Drive, OneDrive, or Dropbox, or crawl websites for RAG training • MCP support – extend agents with Model Context Protocol tool servers • Multi-surface delivery – ship the same product on web, Chrome, macOS, Windows, iOS, Android, and Linux builds • Organization controls – includes multi-tenancy, SSO, RBAC, usage analytics, and embeddable/API options It’s open-source (MIT license). 🔗 GitHub: iblai/os ⸻ ♻️ Share this with your network if you found it useful or insightful. ✉️ If you’re into AI, ML, agents, and building real systems, join my newsletter (it’s free): dankornas.substack.com