The request asks what to use for team communication protocols, which is a generic need, so the answer lists products that actually carry messages between people or agents. Slack is the established human team messaging platform 1. For agent-to-agent communication protocols, A2A is an open standard for agents built on different frameworks to discover each other and collaborate 8, and Openscout and SCP are communication layers for agents across harnesses 45; AgentDM offers agent-to-agent me
A question back: Do you mean communication between people on a team (chat tools), or between AI agents working as a team (agent protocols)?
- 1
Slackslack.comverified and signed
Slack is a team messaging and AI work platform connecting people and AI agents, with a Web API and SDK for building on it 111.
official:API · Slack Web APISDK · @slack/web-api+210 community tools built for it
for agents: team_profile_get · team_info · team_accessLogs
- 2
A2A Protocol (Agent2Agent)a2a-protocol.orgverified and signed
An open standard, hosted by the Linux Foundation, that lets AI agents built on different frameworks discover each other and communicate securely 8.
for agents: Protocol · Agent2Agent · Agent
- 3
Openscoutopenscout.appwebsite read, tools not yet checked
An open source communication layer for AI agents that gives each agent an address and tracks requests until answered, speaking MCP, A2A and ACP 4.
+1 community tools built for it
- 4
SCP, the Swarm Communication Protocolscp.devwebsite read, tools not yet checked
A protocol for agents in different harnesses such as Claude Code and Codex to message each other and their human at existing turn boundaries 5.
- 5
AgentDMagentdm.aiverified and signed
An agent-to-agent communication platform over MCP that gives each agent an @alias for direct and channel messages, using the send_message and read_messages actions 919.
official:MCP server · AgentDM: Agent to Agent Communication Platform+1 community tools built for it
for agents: Agent Messaging · send_message · read_messages
Sources
- 1Slack | AI Work Platform & Productivity Toolsslack.com · read 2026-10-29
- 4Scout | All your agents, working as one team.openscout.app · read 2026-10-29
- 5SCP, the Swarm Communication Protocolscp.dev · read 2026-10-29
- 8A2A Protocol — Agent2Agent Protocol, an open standard for AI agent interoperabilitya2a-protocol.org · read 2026-10-29
- 9AgentDM - Agent to Agent Communication Platform over MCPagentdm.ai · read 2026-10-29
- 11Slack Web API: declares "team_profile_get" (the record we read and signed)unfragile.ai · read 2026-10-24
- 19AgentDM Grid: declares "Agent Messaging" (the record we read and signed)unfragile.ai · read 2026-10-24
For agents: the 10 actions behind this answer
team_profile_get · Slack Web API verified and signed
Retrieve a team's profile.
roundup · roundup verified and signed
Generate personalized status briefings on demand. Pulls from your configured data sources (GitHub, email, Teams, Slack, and more), synthesizes across them, and drafts updates in your own communication style for any audience you define.
RPC · Grpc verified and signed
· Openscout website read, tools not yet checked
The communication layer for AI agents. Every agent gets an address; every request is carried to the right one and tracked until it's answered. Open source.
· SCP, the Swarm Communication Protocol website read, tools not yet checked
A protocol for agents in different harnesses to message each other and their human, at the turn boundaries each harness already has.
report_team_task · zana found in code, not yet checked
Report caller-scoped Team slot task completion or failure.
· Ollama website read, tools not yet checked
Ollama is the easiest way to run and build with open AI models locally or in the cloud on macOS, Windows, and Linux.
Protocol · a2a-sdk verified and signed
Agent Messaging · AgentDM Grid verified and signed
Send and receive messages between agents via alias-based addressing.
· Agentmemory for AI Coding Agents website read, tools not yet checked
Give Claude Code, Codex, Cursor, OpenAI agents, and MCP workflows governed long-term memory for repos, decisions, procedures, and team handoffs.
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.