chanceryhq/chancery

Description and use

**Project Summary:**
Chancery is an open-source identity provider for AI agents, enabling registry, scoped delegation, in-path MCP enforcement, instant revocation, and tamper-evident audit. This project helps turn isolated prompts and tools into repeatable agent workflows, facilitating coordination of multi-agent workflows and standardization of agent memory. With its high production readiness score, Chancery is suitable for serious pilots.

**Value Proposition:**
The primary value proposition of Chancery lies in its ability to streamline AI agent workflows by providing a centralized identity provider. This enables developers to create repeatable agent workflows, making it easier to coordinate multi-agent tasks and standardize agent memory. By using Chancery, developers can focus on building their AI applications without worrying about the underlying identity management.

**Practical Adoption Path:**
To adopt Chancery, developers can follow these steps:

1. Evaluate the project's documentation and API/SDK/CLI implementation.
2. Assess the project's security posture, license, and maintainers.
3. Integrate Chancery into their existing AI workflow using the provided API/SDK/CLI.
4. Test and validate the integration to ensure seamless operation.
5. Deploy Chancery in their production environment and monitor its performance.

**Production Readiness

Use in a workflow

chanceryhq/chancery helps turn isolated prompts and tools into repeatable agent workflows.

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Limitations and review notes

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.