GitHub hosts HunyuanVideo, Tencent's open-source framework for large-scale video generation models, enabling AI-driven video creation.
CloudByte PMS
$10Starting price
0Popularity
About CloudByte PMS
CloudByte PMS monitors AI tool usage across engineering teams by automatically capturing sessions, prompts, and commits without requiring workflow changes. It attributes token spend to individual developers, projects, or models and provides live ROI estimates based on hours saved and session depth. The platform integrates with Claude Code, GitHub, GitLab, Bitbucket, Linear, and Jira to deliver unified insights into AI adoption and efficiency. Commit tracking includes AI-generated summaries of code changes, while prompt clustering reveals which types of work drive the most value. Security features include Google SSO, role-based access control, and multi-project tenancy to ensure data isolation. The tool is designed for teams using Anthropic, OpenAI, or Gemini models and offers both hosted and self-hosted deployment options.
Key features
- Automatic session and prompt tracking
- Token spend attribution by developer, project, or model
- AI-generated commit summaries
- Prompt clustering and pattern analysis
- Live ROI and hours-saved estimates
- CLAUDE.md compliance tracking
- Sensitive prompt alerts for secrets and PII
- GitHub SCM integration
Use cases
- Monitoring AI tool adoption and usage across engineering teams
- Tracking token spend and ROI for AI-powered development workflows
- Enforcing prompt governance and compliance with skills libraries
Pros
- Tracks every AI session, prompt, and commit automatically with zero workflow changes
- Provides live ROI metrics including token spend, hours saved, and adoption heatmaps
- Supports integration with Claude Code, GitHub, GitLab, Bitbucket, Linear, and Jira
- Offers enterprise-grade security with SSO, RBAC, and multi-project tenancy
- Available as both hosted and self-hosted deployment
Cons
- No free tier beyond teams of 5
- Self-hosted option limited to Enterprise plan or standalone license
- Requires Anthropic API key for core functionality
- No mobile or cloud-only access described
Frequently asked questions about CloudByte PMS
What does CloudByte PMS do?
CloudByte PMS tracks AI tool usage across engineering teams by capturing sessions, prompts, and commits automatically without requiring workflow changes. It attributes token spend to individual developers, projects, or models and provides live ROI estimates based on hours saved and session depth.
Who is CloudByte PMS designed for?
The tool is designed for engineering teams using AI tools like Anthropic, OpenAI, or Gemini models. It helps teams understand AI adoption, efficiency, and cost across projects and developers.
How does CloudByte PMS integrate with existing tools?
CloudByte PMS integrates with Claude Code, GitHub, GitLab, Bitbucket, Linear, and Jira to provide unified insights into AI adoption and efficiency without requiring changes to existing workflows.
What security features does CloudByte PMS offer?
Security features include Google SSO, role-based access control, multi-project tenancy for data isolation, and AES-256-GCM encryption at rest. It also supports passwordless magic-link email authentication and one-time tokens.
How do I get started with CloudByte PMS?
Getting started involves signing up with Google SSO or an email address, installing the agent on each developer's machine with a single command, and viewing insights within minutes. No credit card or infrastructure setup is required.
Can CloudByte PMS track token spend in real time?
Yes, CloudByte PMS provides live token spend attribution by developer, project, or model, with updates appearing within minutes of usage. It also includes cache-hit ratios to measure the effectiveness of prompt caching.
