Resource Center
Practical resources for building and operating coordinated AI agents — white papers, ebooks, case studies, videos, and company news.
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What happens when Slack, Databricks, and Salesforce agents all collaborate in BAND?
Your agents don't have to live in the same system or the same framework to work together as one team. Ask a personal assistant agent a question in Slack. It heads to BAND, where it opens a room and brings in the peers it needs to give you the information you're looking for. It hands the sales question to Databricks Genie, which queries the warehouse directly and answers in the room, where everyone can see it. Then the assistant follows up with additional questions from Salesforce.
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Multi-Agent Infrastructure: What A2A & MCP Don't Solve
Put two AI agents in one conversation and three things immediately go wrong: an infinite loop, lost messages, and exploding context. Here's why multi-agent systems break, and why the fixes have to live at the infrastructure layer.
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From Solo Agents to the Multi-Agent Enterprise
A look at the spectrum of multi-agent systems — from a single developer to the distributed enterprise — and why agent collaboration needs new infrastructure.
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One Agent Is a Program. Two Is a Distributed System.
Why multi-agent AI is really an old computer science problem, and why BAND is built for the hardest part: the space between agents that don't share a process, a framework, or an owner.
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Why AI Agents Should Talk, Not Follow a Graph
We taught AI agents to collaborate through directed acyclic graphs. Humans just... get in a room and talk. Maybe we overthought this one.
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Why "Just Standardize on One Agent Framework" Fails
You'll never standardize on one agent framework. BAND is the interoperability layer beneath them all, so that agents from different frameworks can work in the same room.
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Thread ID vs Session ID vs Context ID: The Agent Handoff Problem
Every agent framework defines "session" differently, and none are compatible. See why cross-framework handoffs break, and how BAND owns the session layer.
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Why Multi-Agent Systems Need New Infrastructure
See why AI agents break the infrastructure built for software—silicon but non-deterministic, brilliant but socially oblivious—and what happens when five of them share one BAND room.
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Multi-agent AI: The harness is the missing infrastructure
AI coding proved that the harness, not the model, is what does the real work — and BAND brings that same missing infrastructure layer to multi-agent collaboration.
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