Khala is an MCP-native messaging layer that lets your AI sessions talk to each other, across your own Claude/Codex/Cursor sessions. Every time you finish in one session and start another, you're the one re-briefing. Copy-pasting context, summarizing decisions, starting from scratch. Khala cuts that out. Sessions send and receive from named inboxes. The next one picks up where the last left off. (You can even message a teammate's session directly!)
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Hi Product Hunt! š
Our developer was matching API interfaces between two services. Each end lived in a separate Claude session. He kept copy-pasting specs back and forth, manually keeping both sides in sync ā until he stopped and thought: why am I doing this? Can't you two just talk directly?
That was the first version of Khala.
It kept proving itself:
ā A teammate needed to sync interfaces with another dev. Instead of scheduling a call, he just told them to install Khala. The two Claude sessions worked it out themselves.
ā A team member got sick and couldn't come in. The work couldn't wait. He connected to that member's Claude session through Khala and finished it himself ā without bothering the person who was out.
Same insight every time: the AI was ready. The gap between sessions was the only problem.
**What Khala does:**
- Lets your Claude sessions talk to each other directly
- Works across teammates ā your Claude to their Claude
- Runs solo too ā split tasks across sessions, coordinate automatically
- MCP-native, works in Claude, Claude Code, and ChatGPT
š Free during beta ā no credit card required.
What's your biggest pain point when running multiple AI sessions? Would love to hear how you'd use this. š
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