We’ve released a major Babbily platform update focused on making chat more powerful, more connected, and easier to control.

Babbily now supports a new tool system that powers web search, deep research, site mapping, finance research, weather, stats, QR codes, image generation, video generation, memory, skills, and connected tools through Smithery MCP connectors. Users can also choose how much Babbily should use tools with new Auto, Manual, and Off modes.

This release also improves the live chat experience. Tool progress, research status, memory citations, connector diagnostics, and media generation states now stream more clearly so users can better understand what Babbily is doing while it works.

Memory and profile personalization have been upgraded as well. When memory is enabled, saved profile details can now sync into Babbily’s memory system, helping the assistant better understand user preferences and work style over time.

We also added saved-thread context compaction, which helps long conversations stay useful by preserving important context while reducing unnecessary thread bloat.

Additional improvements include a cleaner floating thread header, better attachment and connector persistence in conversations, improved reliability for long-running research and tool jobs, and backend upgrades to support future connected workflows.