keyrunner.app

What It Is

KeyRunner is a “local-first” API client as well as a secure execution runtime for enterprise AI Agents. On the developer side, it supports free local API testing, mocking, response redaction, and basic observability. On the enterprise side, it turns APIs into governed agent actions: KeyRunner injects credentials at runtime, enforces policies, and records audit logs. Its core idea is: “Agents get actions, not credentials.”

Core Capabilities and Security Dimensions

In terms of protection, it covers API security, secrets governance, response redaction, policy enforcement, and auditing. Requests can be executed locally; by default, it does not log requests, send usage data, or require account creation, reducing the risk of API traffic leakage. For secrets, it supports runtime retrieval from systems such as HashiCorp Vault, 1Password, and AWS Secrets Manager, preventing credentials from appearing in collections or history. Response redaction can process PII, PCI, and PHI fields before they enter the UI, logs, or shared workspaces. Management capabilities include tracking request latency, response codes, and usage patterns, but the collected content does not specify alerting channels.

Deployment, Integrations, and Pricing

Deployment options are fairly flexible, with desktop clients for Windows, Mac, and Linux, a VS Code extension, and an npm CLI. Integrations cover Vault, AWS/Azure/GCP Secret Manager, and 1Password. AI framework support includes Claude MCP, OpenAI/GPT, LangChain, and CrewAI, as well as GitHub Actions, GitLab CI, OpenAPI/Swagger, and more. Some integrations, such as Jenkins, CircleCI, AutoGen, and Doppler, are still marked as Coming soon. In terms of pricing, the API Client is clearly positioned as free forever, with no account required and no telemetry. Enterprise Agent Security and team plans use custom pricing and require contacting sales.

Pros, Cons, and Who It’s For

Its main strengths are clearly defined security boundaries, making it suitable for teams that do not want API requests or secrets to flow through third-party clouds. It also offers a natural path from development and debugging to governed Agent execution, aligning well with the emerging risks of AI Agents calling enterprise APIs. The drawbacks are that enterprise pricing, compliance certifications, SLA, and support tiers are not disclosed, and some ecosystem integrations are not yet complete. It is best suited for developers, API teams, platform engineers, and security architects, especially organizations already building AI Agent or MCP tool ecosystems.

China Access and Alternatives

The collected information does not provide details on access from mainland China, payment methods, or localized support, so China accessibility is unknown. If networking, procurement, or compliance deployment becomes a constraint, alternatives to compare include Postman, Insomnia, and Hoppscotch, or combining an existing API gateway, enterprise secrets management system, and CI/CD security tools to replicate part of its functionality.