Most AI agent builders hand you a blank canvas and a pile of glue code. Janus is different: it's an agent whose specialty is making other agents. Tell it what expert agent you need in plain language — it interviews you, builds the agent, proves it actually works, and hands you a self-contained, runnable product. No coding required.
Seven steps from a plain-language description to a self-contained agent you can run.
Focused questions pin down the spec — it doesn't guess
Grounds the design in what the task actually needs
Presents a spec — nothing builds until you sign off
Generates the agent as declarative files
Runs it for real; an AI judge scores it on a rubric
Up to 3 automatic improvement passes if it falls short
Ships a self-contained repo you run anywhere
Not a canvas, not a framework. An AI agent builder with a quality gate.
An agent is a directory of declarative files — identity, instructions, tools, output format, and a quality rubric. Zero code changes.
Every agent passes a smoke-test run plus an LLM judge before it's done. Quality enforced, not assumed — a broken test scores zero.
Agents can be containerized to run real command-line tools — scanners, data CLIs — and Janus builds and tests that image for you.
Built agents live in a fleet you run, re-validate, improve in place, and sync core upgrades across. A lifecycle platform, not a one-shot generator.
Janus was extracted from a real, in-production pentesting agent. Pentesting was the first agent built this way — the template proved itself on a hard, high-stakes domain before becoming a general product. That's a credibility story, not a demo.
The market is full of frameworks and no-code canvases that leave the hard parts — grounding, testing, packaging — to you.
Janus is the only approach that treats agent-making as a specialty, enforces a quality gate, and refuses to ship anything that doesn't work.
| Capability | Framework SDKs | No-code canvases | Janus |
|---|---|---|---|
| Build an agent without writing code | — | ✓ | ✓ |
| Interviews you to pin down the spec | — | — | ✓ |
| Grounds design in task research | — | partial | ✓ |
| Built-in quality gate (test + LLM judge) | — | — | ✓ |
| Refuses to ship a failing agent | — | — | ✓ |
| Self-contained, portable export | partial | — | ✓ |
| Runs real CLI tools in containers | DIY | — | ✓ |
| Vendor-neutral (5 model backends) | varies | — | ✓ |
| Managed fleet + sync-able upgrades | — | — | ✓ |
Janus builds an AI agent that fails closed. If it can't meet its quality bar after up to three automatic fix attempts, Janus exports nothing and tells you why, with real scores. You never get handed a broken agent that's quietly called “done.”
Named with character — agents auto-named after mythological figures that fit their purpose
The engine is open source under AGPL-3.0. Clone it, build your first agent, and run it anywhere — no sign-up, no gate.
# clone and build your first agent $ git clone https://github.com/pantheos-forge/janus-community $ janus run --task "review contracts for risk"
Embedding Janus in a closed-source product, or offering it as SaaS? Commercial licenses are available — contact@pantheosforge.com.
Tell us what expert agent your team needs. We'll show you the architect that builds it — and refuses to ship it broken.