Deep Realms vs Janitor AI (2026): Unrestricted Campaign Engine or Character Library?
Deep Realms vs Janitor AI puts two platforms side by side that both attract players frustrated by content filters elsewhere — but they solve completely different problems once you’re past that shared complaint. Janitor AI answers “can I talk to this character without a model telling me no?” with the largest community card library in the space. Deep Realms answers “can I build a persistent, unrestricted world with real mechanics?” with a Python-programmable engine and an 80,000-word memory store.
Read superficially, both are “unrestricted AI roleplay” platforms. Read closely, one is a conversation and the other is a campaign. This breaks down what actually separates them — content freedom, structure, memory, model choice, and price — so you can tell which problem you actually have.
The Short Version
| Deep Realms | Janitor AI | |
|---|---|---|
| What it is | Python-programmable AI RPG engine | AI character-chat platform |
| Feel | A world you build and run over sessions | Pick a persona, start talking |
| Mechanics | Custom-coded via Python World Engine | None — pure conversation |
| Content freedom | Unrestricted via specific models (Astral, Magni) | Unrestricted via BYOM + card-layer mediation |
| Memory | ~80,000-word active context | Context window only, no persistence |
| Model choice | Fixed proprietary models | Bring-your-own-model (Claude, OpenAI, etc.) |
| Price | Free / $9 (Pro) / $29 (Studio) monthly | Free (in-house model) or API cost only |
| Arcanum rating | 2.7/5 | 3.0/5 |
The one-line summary: Deep Realms is the unrestricted campaign engine; Janitor AI is the unrestricted character library. The detail behind that is below.
What Each One Actually Is
Deep Realms is built around a Python-based “World Engine” that weaves quantitative mechanics — hit points, mana thresholds, numerical skill checks — directly into generative text. It’s aimed at power users, writers, and worldbuilders who want programmatic control and a world that actually persists across sessions. Our full Deep Realms review rates it 2.7/5.
Janitor AI is a character library with a model layer underneath it — not a game engine, not a narrative framework. Users browse or create character cards and launch chat sessions against them, with the distinguishing feature being bring-your-own-model: connect an API key and run the whole catalogue on whichever model you already trust. Our full Janitor AI review rates it 3.0/5.
For the full landscape of permissive platforms, see our uncensored AI roleplay guide.
Content Freedom, Compared
Both platforms are explicit about permitting content that gets filtered elsewhere, but the mechanism is different. Deep Realms permits mature and NSFW content specifically when players select its Astral or Magni models — a stated, model-level design choice. Janitor AI’s permissiveness comes from a different direction: its bring-your-own-model architecture routes sessions through whatever model you connect, and the character-card layer mediates prompts in ways that meaningfully loosen what a model will engage with compared to using it directly.
Neither is meaningfully more or less restricted than the other in practice — they’re just solving the same underlying frustration (models refusing legitimate dramatic content) through different architectures. What differs is what you’re doing with that freedom once you have it.
Structure and Mechanics
This is the real fault line. Deep Realms’ entire identity is mechanical: quantitative hit points, skill checks, and — for players comfortable writing basic Python — fully custom combat systems and environmental variables that persist and evolve. There is a game running underneath the prose, and you can reshape it.
Janitor AI has none of this by design. There’s no state persistence, no mechanical layer, no world simulation — every message is a generative response to whatever context still fits, and nothing more. That’s not a flaw so much as a different product entirely; Janitor AI was never trying to be a game engine. If what you want is stakes that persist and consequences that stack, Deep Realms is the only one of the two that offers it.
Memory and Consistency
Deep Realms wins this decisively. Its proprietary models process up to roughly 80,000 words of active context — purpose-built for sprawling, lore-dense campaigns where forgetting a plot thread three sessions back would break the world. Janitor AI keeps no memory beyond the current chat’s context window: no persistence system, no carried-forward state. Log off and come back, and continuity depends entirely on what still fits in that window (see why LLMs forget for why this happens on every chat-style platform).
For a one-off character conversation, Janitor AI’s lack of persistence rarely matters. For anything resembling a continuing campaign, it’s the platform’s clearest limitation — and exactly the gap Deep Realms was built to close.
Model Choice and Flexibility
Janitor AI’s bring-your-own-model design is architecturally significant: the character layer is Janitor’s, the model is yours. Players already paying for Claude or ChatGPT can run the entire card library through it at just the marginal API token cost. Deep Realms offers no equivalent — its World Engine runs on a fixed set of proprietary models (Freya 4.1, Aion, Magni, Astral) with no user-selectable swap. If model choice specifically is what you want, that’s a Janitor AI strength Deep Realms doesn’t compete on.
Ease of Starting and Price
Janitor AI wins the on-ramp decisively. It’s free on the in-house Janitor LLM, or pay-per-use if you connect your own API key — you’re chatting within minutes of creating an account, no coding required at any point.
Deep Realms is a steeper climb. The Free tier offers limited world slots just to evaluate the platform; Pro at $9/month unlocks unlimited worlds and the full map builder; Studio at $29/month adds team collaboration. Reaching the platform’s actual ceiling — the custom mechanics Deep Realms is built around — requires comfort with basic Python, which will eliminate a real share of otherwise-interested players before they ever get there.
Which Should You Choose?
Choose Janitor AI if you want to talk to a specific character — a companion, a rival, a persona from fiction you care about — on a model you already trust, with no setup and no coding. Full Janitor AI review (rated 3.0/5).
Choose Deep Realms if you want a persistent, unrestricted world with real programmable mechanics and long-term memory, and you’re willing to learn some Python to reach its ceiling. Full Deep Realms review (rated 2.7/5).
Not sure either fits? For a structured, visually rich alternative with none of the coding requirement, see Deep Realms vs Friends & Fables. The full field is ranked in best AI roleplay platforms.
Frequently Asked Questions
Is Deep Realms better than Janitor AI? They’re built for different problems, so it depends what you want. Deep Realms is the better choice for a persistent, unrestricted campaign with programmable mechanics and long-term memory. Janitor AI is the better choice for talking to a specific character with no setup, on a model you already pay for. Janitor AI rates 3.0/5 and Deep Realms 2.7/5, but that gap is almost entirely NPC fidelity — on memory, Deep Realms scores higher.
What’s the difference between Deep Realms and Janitor AI? Deep Realms is a Python-programmable AI RPG engine — custom mechanics, an 80,000-word memory store, and a persistent world you build over sessions. Janitor AI is a character-chat library with no mechanics or persistence at all: you browse a huge catalogue of community character cards and talk to one, with continuity limited to whatever fits in the current context window.
Which one allows more unrestricted content? Both explicitly allow mature and unrestricted content, via different mechanisms. Deep Realms permits it by selecting specific models (Astral, Magni) built for less-restricted generation. Janitor AI’s bring-your-own-model design routes conversations through whatever model you connect, and its character-card layer mediates requests in ways that loosen restrictions compared to a model’s native interface. Neither has a meaningfully lighter touch than the other — they just get there differently.
Can I use my own AI model with both platforms? Only with Janitor AI. Its bring-your-own-model feature lets you connect a Claude, OpenAI, or other API key and run the entire character library on whatever model you already trust. Deep Realms runs its own fixed proprietary models (Freya 4.1, Aion, Magni, Astral) with no user-selectable swap.
Which has better memory for a long campaign? Deep Realms, by a wide margin. Its proprietary models process up to roughly 80,000 words of active context, purpose-built for sprawling, lore-dense campaigns. Janitor AI keeps no memory beyond the current chat’s context window — there’s no persistence system at all, so continuity depends entirely on what still fits when you’re deep into a session.
Should I use Deep Realms, Janitor AI, or both? Different itches. Use Janitor AI when you want to talk to a specific character with zero setup, on a model you already pay for. Use Deep Realms when you want an actual persistent world with programmable mechanics and long-term memory, and you’re willing to learn some Python to reach its ceiling. Plenty of players use both for different sessions.