About enterpriseai.tools

Project goals

• Track real enterprise AI tooling with source-backed data.
• Compare cloud vendor offerings (Microsoft Foundry, AWS Bedrock, Google Vertex AI) with open source alternatives.
• Keep weekly updates reviewable and PR-driven.
• Maintain a data-dense, no-marketing-fluff resource for practitioners.

What we track

• Platforms — the three cloud foundation layers.
• Agents — managed agent platforms and open source frameworks.
• Orchestration — workflow engines and automation platforms.
• Governance — guardrails, safety controls, and policy tooling.
• Assistants — coding copilots, productivity assistants, and build-your-own platforms.

Data sourcing standards

• Every tool entry must link to official documentation or repository.
• GitHub star counts and version numbers must be verifiable at time of entry.
• Pricing information must come from official product or docs pages.
• Weekly updates require a sourceUrl — no exceptions.
• License labels must be exact (MIT, Apache 2.0, Proprietary, etc.).

Contribute

Contributions are welcome via pull request. All data changes must be evidence-backed and include verifiable source URLs.

• To add a tool: edit data/tools.json following the schema in data/SCHEMA.md.
• To add a weekly update: edit data/updates.json with a sourceUrl.
• To report an error: open an issue on GitHub.