Pentagon is a collaborative AI agent platform that enables teams to create, deploy, and manage multiple autonomous agents that work together in a shared workspace. The platform provides persistent agents that communicate with each other, maintain memory across tasks, and coordinate complex workflows, with a reported 20:1 agent-to-human ratio.
Funding
Funding not disclosed
Founders
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. Agents persist across sessions, retaining memory of past fixes and project context, which allows them to apply learned knowledge to future problems. The system supports autonomous agent conversations, with agents coordinating code changes, test updates, and regression coverage without requiring constant human intervention.
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
- 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
- Cloud-based message and workspace metadata storage with no source code retention
- Integration with AI model providers like Anthropic for agent response generation