iblai

Stars and mentions

Last 30 days, Oct 5 – Nov 3

GitHub stars9
mentions9
01234Oct 5Oct 19Nov 3
UTC days · repositories iblai owns1 repositories

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Mentions

9posts
Nov 40 posts
  1. 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

    1 like · 10 views
  2. 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.

    1 like · 7 views
  3. 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.

    1 like · 6 views
  4. 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.

    1 like · 7 views
  5. 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.

    2 likes · 6 views
  6. LinkedIn · · Daniel Kornaś · iblai/os

    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

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