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solacelabs/solace-agent-mesh

Analysis updated 2026-07-03

3,697PythonAudience · developerComplexity · 4/5LicenseSetup · moderate

TLDR

A Python framework for building multi-agent AI systems where specialized agents communicate through a message broker, coordinate via a GUI, and expose a chat interface out of the box.

Mindmap

mindmap
  root((solace-agent-mesh))
    What it does
      Multi-agent AI framework
      Agents collaborate on tasks
      Chat interface built in
    Communication
      Solace message broker
      A2A protocol
      Loosely coupled agents
    Setup
      pip install
      sam init GUI wizard
      sam run to start
    Built-in Tools
      SQL queries
      Data visualization
      File management
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Code map

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What do people build with it?

USE CASE 1

Build a multi-agent AI pipeline where one agent queries a database and another generates a visualization, coordinated automatically.

USE CASE 2

Set up a chat interface backed by specialized AI agents using the sam init GUI and run it locally in minutes.

USE CASE 3

Connect an AI agent mesh to Slack or a REST API so users can interact with the system through familiar tools.

What is it built with?

PythonGoogle ADKSolace Platform

How does it compare?

solacelabs/solace-agent-meshabhitronix/vidgeargoogle/deepvariant
Stars3,6973,6973,697
LanguagePythonPythonPython
Setup difficultymoderatemoderatemoderate
Complexity4/53/54/5
Audiencedeveloperdeveloperresearcher

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Requires a Solace Platform account or broker instance for the messaging layer that connects agents.

Apache 2.0, use freely in personal or commercial projects, including modifications, as long as you keep the license notice.

In plain English

Solace Agent Mesh is a Python framework for building systems where multiple AI agents work together to complete complex tasks. Instead of one AI model handling everything, you define specialized agents, each with its own set of tools and abilities, and the framework handles the communication between them. For example, you might have one agent that queries a database, another that generates images, and an orchestrator agent that decides which of the others to call and in what order. The communication layer is built on the Solace Platform, which is a commercial event messaging service. Agents send and receive messages through this broker rather than calling each other directly, which means they stay loosely coupled: adding, removing, or restarting one agent does not require changes to the others. The framework follows the Agent-to-Agent (A2A) protocol so that agents can discover each other at runtime and delegate tasks without hard-coded connections. Setting up a project takes a few terminal commands: install the package via pip, run sam init --gui to open a browser-based setup wizard, and then sam run to start everything. New agents can be added through the same GUI. The system exposes a chat interface at localhost:8000 by default, and the README includes tutorials for connecting it to Slack, a REST API, or a custom interface. Built-in tools cover SQL queries, data visualization, file management, and a dynamic embed system that lets agents insert real-time information into their responses without re-running the full pipeline. Under the hood the framework combines Google's Agent Development Kit for the AI logic and tool execution, and the Solace AI Connector for broker communication and configuration loading. The project is open source under the Apache 2.0 license and requires Python 3.10 through 3.13.

Copy-paste prompts

Prompt 1
Walk me through creating a new Solace Agent Mesh project with `sam init --gui`, adding two specialized agents, and running them with `sam run`.
Prompt 2
Show me how to define a custom agent in Solace Agent Mesh that can query a PostgreSQL database and return structured results.
Prompt 3
How does Solace Agent Mesh use the A2A protocol so agents can discover each other at runtime without hard-coded connections?
Prompt 4
Give me the steps to connect my Solace Agent Mesh chat interface to Slack so team members can trigger agent tasks from a Slack channel.

Frequently asked questions

What is solace-agent-mesh?

A Python framework for building multi-agent AI systems where specialized agents communicate through a message broker, coordinate via a GUI, and expose a chat interface out of the box.

What language is solace-agent-mesh written in?

Mainly Python. The stack also includes Python, Google ADK, Solace Platform.

What license does solace-agent-mesh use?

Apache 2.0, use freely in personal or commercial projects, including modifications, as long as you keep the license notice.

How hard is solace-agent-mesh to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is solace-agent-mesh for?

Mainly developer.

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