How does Edgee Team ensure data privacy?

Your code never touches Edgee servers. Team management stores only metadata like token counts, timestamps, repo names, and compression ratios. Prompts transit the edge but are never persisted.

What coding assistants does Edgee Team support?

Edgee Team works with Claude Code, Codex, OpenCode, and other AI coding agents that can be routed through Edgee's gateway.

Is there a free plan available?

Yes, Edgee offers a Free plan with individual features, while Team plan starts at $29/user/month billed annually, including unlimited compression and team management.

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Listed website: edgee.ai
Published in directory: Apr 27, 2026
Last record update: Apr 27, 2026

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Overview
5 key features
4 use cases

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What is Edgee Team

Edgee Team is an observability platform for engineering teams using AI coding assistants like Claude Code, Codex, and OpenCode. It provides a dashboard to track token usage, costs, and compression ratios per developer and per repository, enabling engineering leaders to monitor and optimize their AI budget. With features like automatic token compression, team leaderboards, and GitHub integration, Edgee Team brings transparency and efficiency to AI-assisted development workflows.

Key Features

Track token usage and costs per developer and per repository

Automatic token compression up to 50% savings

GitHub integration for seamless session attribution

Team leaderboards and public/private session stats

OSS model fallback and alerts for budget management

Use Cases

Engineering managers monitoring AI spend across their team to prevent budget overruns
Teams using Claude Code or Codex wanting to measure developer efficiency and token optimization
Startups needing to control AI costs while maintaining developer productivity
Technical leads comparing compression ratios between team members to identify best practices

Why do startups need this tool?

Startups face tight budgets and need to maximize every dollar spent on AI. Edgee Team provides granular visibility into token usage and costs, helping startups avoid waste and optimize developer efficiency. Its automatic compression can cut AI expenses by up to 50%, making it a cost-effective solution for growth-stage companies.