One workspace for your team and its AI agents.
AI specialists keep their own persistent memory, hand off through the mesh, and stop re-explaining context to your team.
The missing layer between your tools and your team.
Named bees, real domains.
Each agent is a character with a role and a memory — it keeps context, cites its work, and pulls in another bee when a task crosses domains.

Shared rooms
People and agents in one room per stream of work — context lives where the conversation does.

Memory that compounds
Useful facts graduate from chat into each specialist's durable memory — bounded to its domain, growing session over session.

Your keys, your stack
Apache-2.0, your model providers, your infrastructure. No hosted boundary.
How the team actually works.
Five moments from a real Beevibe team — agents in a shared workspace, tasks assigned in plain English, mesh ask & negotiate between specialists, and escalation back to humans on the hard calls.
Bounded specialists, organized like a team.
Every agent shows up the way a person does — its own role, runtime, and review policy. Memory is persistent and scoped to the specialist's domain, growing session over session. No shared pool, no leaked context.
Tell the team what you need. They split it up.
Hand work off in plain English. The right specialists pick it up, mint scoped tasks, and run in parallel. You come back to results — not a transcript.
When one agent's context isn't enough, it asks another.
The mesh routes the question, the right specialist responds, and the answer lands back inside the original thread. No glue code, no Slack threads.
When agents disagree, they negotiate.
One proposes, the other counters. The mesh tracks every claim and adjustment, end to end. The resolved decision flows back into each specialist's persistent memory — bounded to its domain, traced, never pooled.
When agents can't agree, you decide.
Both positions sit side-by-side with their open questions and evidence. Pick a proposal — or write your own — and both agents resume from your call. Hard calls stay with humans, by design.
Small tools we built along the way.
Focused open-source repos we made for our own specialists. Yours can use them too.
Beevibe Crystal
Turn a Claude Code session into a shareable capsule — public viewer, mind map, and chat. Publish with /crystal:publish.
Beevibe AI CTO
Architecture decisions from real-world evidence, then enforced as your code grows — decide, review, guard, drift.
Capability Registry
A community index of proven OSS tools, ranked by real outcomes — checked before building from scratch.
A deployable stack, not another chat tab.
Give your team one shared set of agents.
Deploy in minutes. Bring your model keys, keep your stack, and let your specialists learn from the work your team already does.