
Pentagon
Pentagon is a cloud-based platform that enables software teams to deploy multiple AI agents that work collaboratively as an integrated team. The platform provides each agent with its own cloud computer, persistent memory, and inter-agent communication channels, allowing work to continue even when users are offline. Agents interact with files locally or through version control systems, ensuring source code is never uploaded to Pentagon's servers.
- AI Agents
- Developer Tools
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Software teams often struggle to manage multiple AI agents working on the same codebase, as agents operate in isolation without shared context or coordination. This leads to redundant work, conflicting changes, and the need for constant human oversight to synchronize agent activities and maintain project continuity.
Solution
Pentagon provides a collaborative platform where AI agents work as an integrated team with a shared workspace for communication, coordination, and task execution. The platform enables users to create a visual map of their project, onboard agents with specific purposes and operating scopes, and let them communicate directly with each other to resolve issues, hand off tasks, and maintain collective awareness. Each agent operates on its own cloud computer, so work continues even when the user is offline or has closed their laptop. Agents understand goals and work proactively, bringing humans in only when judgment matters, allowing teams to delegate rather than micromanage.
Target Audience
Primary customers are software development teams and engineering organizations that want to deploy multiple AI agents to automate coding, testing, and code review workflows while maintaining coordinated, persistent agent collaboration.
Features
- Visual workspace mapping that lets users define team structures, agent roles, and folder references
- Persistent agent memory that retains task history, status reports, and learned solutions across sessions
- Inter-agent communication channels for direct messaging, task handoffs, and collaborative problem-solving
- Autonomous agent coordination where agents can spawn sub-agents or delegate work to specialized peers
- Dedicated cloud computing environment for each agent, allowing work to progress without user intervention
- Local file processing that never uploads source code or documents to cloud servers, ensuring data privacy
- GitHub OAuth integration for authentication and version control system connectivity
- Integration with AI model providers like Anthropic for agent response generation