Show HN: Kessa, a verifiable delegation and attestation system for AI agents

Description and use

**Summary:** Kessa is an open-source project that facilitates verifiable delegation and attestation for AI agents, enabling the addition of AI capabilities without rebuilding a model stack from scratch. This system is particularly useful for prototype development, building RAG (Reusable Agent Graph) or agent workflows, and evaluating model tooling. However, its production readiness is medium due to limited quality signals and potential risks associated with its usage.

**Value:** The primary value proposition of Kessa lies in its ability to add AI capabilities quickly, making it an ideal choice for prototype development or internal workflows. This allows developers to focus on building and testing AI features without the overhead of creating a new model stack.

**Practical Adoption Path:** Before adopting Kessa, it is essential to manually inspect the project, verify its license, maintenance, documentation, issues, and release cadence. This will help ensure that the project meets the specific needs and requirements of the development team. Once verified, developers can integrate Kessa into their workflow, leveraging its features to build and evaluate AI models.

**Production Readiness:** Kessa's production readiness is rated as medium due to several factors, including limited quality signals and potential risks associated with its usage. While it can be useful for prototypes or internal workflows, it is crucial to perform thorough dependency

Use in a workflow

Show HN: Kessa, a verifiable delegation and attestation system for AI agents helps add AI capability without starting from a blank model stack.

• prototype AI features
• build RAG or agent workflows
• evaluate model tooling

Limitations and review notes

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.