agentagon

Purpose: Evaluating AI agents with reproducible evidence and measured improvement recommendations.

Inferred · not functionally tested

Audience: AI agent developers and evaluation teams

Inferred · not functionally tested

Functions: analytics

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: CLI, WEB · deployment: browser, cli, api_only, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: agentagon.ai · github.com. These links do not verify the individual claims.

In the Agent evaluation & testing space, agentagon takes a focused approach. Inferred · not functionally tested: It focuses on evaluating AI agents with reproducible evidence and measured improvement recommendations. Inferred · not functionally tested: agentagon is an open-source project aimed at AI agent developers and evaluation teams. Basis unknown · not verified: agentagon is open source under the Apache-2.0 license. Basis unknown · not verified: It ships for the web, the command line, and API, and it can be self-hosted.

Agentagon builds and maintains agentagon, and it first shipped in 2026. The project is developed in the open on GitHub with 1 commit in the last 90 days. Inferred · not functionally tested: Key capabilities include agent audits, agent evaluations, and evidence collection.

Summary written by a language model from the project’s public pages.