Whether it's ChatGPT or some other AI chat, we're usually restricted to one "colossal agent" that holds all our session memory.
Cumbersome, inefficient, and — possibly — error prone.
Snippbot's answer is multi-agent chat: a team of agents in one room, each
with its own memory, its own persona, and its own slice of the work.
What that actually looks like
In the video below, four Snippbot agents — each owning a different slice of a
real business — plan a customer service agent live in one room. No script, no
cuts to the reasoning.
Two moments that don't happen with a single-agent puppet:
- A specialist agent corrected its own PM on camera.
- Another restored a safety rule that got dropped in synthesis.
That's the difference between one model in a costume and a team of agents that
actually check each other's work.
Why separate memories matter
Giving each agent its own memory and scope means no single context has to hold
everything — so the reasoning is auditable, the agents can disagree, and a miss
by one gets caught by another instead of silently baked into the answer.
Snippbot is self-hosted and source-available — you run it on your own
hardware, bring your own models, and own the whole stack.
⏱️ Short 3-min cut: https://youtu.be/WwVH_T1BE_E
→ Try it: https://snippbot.com
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