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Mission Squad

Mission Squad AI Agent
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Overview

Mission Squad is an Agentic AI Platform that allows you to build, manage, and deploy cooperative agents that connect to any model, leverage private data, use MCP tools, and automate complex tasks.

NEW: Slack App!
Our Slack App brings your agents directly into your workspace. You can converse with and use any of your agents right in Slack, enabling collaborative use across your organization. This integration also allows you to schedule agents to run and post their results directly back into a Slack channel or DM.



The platform is built on four pillars.

  • Flexibility: Use any provider, even private OpenAI compatible APIs, to avoid vendor lock-in.
  • Extensibility: Augment agents with external MCP tools and private knowledge bases via RAG.
  • Orchestration: Design and run complex, multi-agent workflows to automate tasks.
  • Programmability: Control everything via a rest API with OpenAI compatible endpoints for easy integration.

Key Features and Capabilities
Universal Provider and Model Management
Mission Squad natively supports providers like OpenAI, Google, Anthropic, and Groq, plus any OpenAI compatible service, including self-hosted models. You can securely manage all your API keys and create saved configurations for any model to pre-set parameters like temperature and max tokens.

The AI Agent
Agents are the core of the platform. Each is a specialized unit built on a model with a unique system prompt, and can be augmented with tools and knowledge. Tools, provided via Model Context Protocol, or MCP, servers, give agents real-world abilities like web searching. Knowledge, provided through Retrieval Augmented Generation, or rag, connects agents to your private documents, ensuring responses are grounded in your data.

The RAG Engine
The platform includes a complete engine to build these private knowledge bases. Simply upload your PDF, text, or markdown files, and the system handles the complex process of making that data available to your authorized agents. For example, a legal team can upload case law to create a "Legal Assistant" agent that answers questions based only on those specific documents.

Agent Workflows
Workflows let you chain multiple agents to automate complex tasks. Helper agents perform initial steps, like summarizing a URL or finding news, and their outputs are dynamically fed into a primary agent's prompt for a final, comprehensive result.

Task Scheduling
The platform now supports Scheduled Jobs, allowing you to fully automate your agents. You can schedule any agent to run at a specific time and on a recurring basis, with the results delivered directly to your email or a Slack channel.

API-First and OpenAI-Compatible Endpoints
The platform’s most powerful developer feature is its OpenAI compatibility. Your custom agents—complete with their tools and rag knowledge — appear as standard models through the API. This allows for instant upgrades to existing applications. Simply change the API key and endpoint URL, then call your custom agent's name as the model. No other code changes are needed.

Enterprise-Ready Deployment
Mission Squad is available as a managed cloud service or can be deployed as Docker containers in your own VPC, with all user data being securely isolated.

Autonomy level

63%

Reasoning: Mission Squad enables collaborative multi-agent workflows but operates within user-defined parameters, requiring initial task configuration and model selection (OpenAI, Anthropic, etc.). While agents autonomously execute subtasks once configured, the system lacks full self-directed mission adaptation seen in edge-computing platforms like Shield AI’...

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Some of the use cases of Mission Squad:

  • Creating collaborative AI agent groups to automate complex tasks.
  • Integrating multiple AI models into a unified workflow.
  • Enhancing productivity by delegating tasks to specialized AI agents.
  • Streamlining processes in various domains through AI collaboration.
  • Developing custom AI solutions tailored to specific user needs.

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Popularity level: 38%

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