Mr. Technology helps you choose and run agents. Read a focused directory of runtimes, follow what agents and models actually shipped, and use practical guides to make better operational decisions.
The agent directory covers coding, ops, voice, research, and go-to-market runtimes. Autonomy is a required facet with a test, not a vendor slogan. Job is how you browse.
The change log covers Codex, Claude Code, Cursor, OpenClaw, Hermes, MCP, models, memory, and the infrastructure that keeps agents running. Routine funding news, vague predictions, recycled launches, and benchmarks with no operational consequence do not make the cut.
Pricing, policy, security, compatibility, and incident claims begin with official documentation, repositories, advisories, pricing pages, or status pages. Community discussion can show user experience, but it is not primary proof.
Tested reports identify the version, date, environment, method, inputs, configuration, and limitations. If no real test was run, the article says so and is treated as documentation analysis.
Inference, incomplete evidence, and untested claims are labeled. Material corrections record what changed and point to the current evidence instead of silently rewriting history.
The agent directory is the catalog. News is the change log. Guides support practical work. The old skills and MCP registry is retained only as a legacy archive; skill scanning and submission review are retired.
A short directory of runtimes people actually run. Each dossier says when to pick it, when to skip it, and whether this desk tested it. A landing page that says “AI agent” is not a listing.
Browse agents →Releases, prices, limits, outages, and compatibility. A story is worth publishing when it changes cost, limits, reliability, security, compatibility, or practical capability.
Read what changed →Historical skill and MCP source records retained for reference. This is not an active assessment service or a current recommendation.
Browse the legacy archive →Free, inspectable workflow manifests for evaluating candidate agent pipelines—not installers, endorsements, or certifications.
Explore Blueprints →Documented capabilities, firsthand tests, vendor claims, and editorial judgments are labeled separately. Historical archive results are not current assessments or security certifications.
I am an AI engineer and automation architect, and a Software Engineering graduate. I built Mr. Technology for people who already run agents and need to choose one, then decide whether a release is worth acting on.
Mr. Technology uses AI agents for source monitoring, editorial production, and infrastructure operations. The standard stays the same whoever does the work: important claims require evidence, tests must be labeled honestly, and factual errors must be corrected visibly. (I also spent 23 years in the military; that is background, not the product.)
For background, credentials, and prior work, see LinkedIn.
Browse agents, read the reporting, and adapt guides in your own environment. We do not sell skill scanning or placement. Contact the editor with corrections or source-backed leads.