Janitor AI vs openrig: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Janitor AI and openrig — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Janitor AI
Janitor AI / JanitorAI.com
Web-based platform for scripted, character-driven roleplay chats powered by large language model backends.
Key features
- Script-Based Roleplay: Enables creation and execution of scripted character roleplays with custom prompts, behaviors, and branching conversation logic to shape character responses.
- Character Hosting and Sharing: Hosts user-created character pages and dialogues so other users can discover, load, and interact with predefined characters.
- OpenAI/API Backend Integration: Uses external LLM backends (e.g., ChatGPT/OpenAI API) for generation, requiring API connectivity and subject to provider rate limits and account restrictions.
- Low-Moderation Environment: Operates with minimal content moderation, allowing broad creative expression and experimental content but increasing content-safety risks.
- Web Chat Interface: Provides a browser-based chat UI optimized for interactive roleplay with characters and scripted scenarios.
- Third-Party Extensibility: Strong community ecosystem including scrapers, proxies, and integrations to export characters, automate interactions, or route traffic around regional or rate limits.
- Web-hosted conversational character pages with chat UI
- Script-based roleplaying support for defining character behavior and responses
- Minimal built-in moderation (user-generated content may be unrestricted)
- Commonly accessed via HTTP scraping or reverse-engineered endpoints
- Works with proxy layers to mitigate region locks, bans, or rate limits
- Often integrated into developer workflows using Dockerized scrapers and npm frontends
- Can be combined with external LLMs/APIs (e.g., OpenAI) via intermediary tooling, though no official public API is documented
Best for
- Interactive Storytelling: Run multi-turn, character-driven narratives where authors script personalities and responses to create immersive roleplay sessions.
- Character Prompt Development: Design and iterate on character prompts and behaviors to tune personality, tone, and response patterns for entertainment or testing.
- Content Extraction and Backup: Use community scrapers to export character definitions and conversation scripts for local analysis or preservation.
- Bypassing Regional/Rate Limits: Employ third-party proxies or IP-rotation tools to maintain access and performance when facing regional blocks or API rate limits.
- Rapid Prototyping of Conversational Agents: Prototype persona-driven chatbots by composing scripted characters and testing interactions in a live web interface.
- Community Sharing and Discovery: Share notable characters publicly so others can load, rate, and continue conversations for collaborative roleplay.
- Interactive roleplay and character chat for end users
- Extraction/scraping of character scripts for use with local or hosted LLMs
- Testing and evaluation of conversational agents and personas
- Feeding character personas into LLM pipelines or fine-tuning datasets
- Developer automation where proxies and IP rotation are used to scale interactions
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openrig
mvschwarz
OpenRig is open-source software to define a team of Claude Code and Codex agents in YAML and run them as one persistent, managed system.
Key features
- YAML Rig Definitions: Describe an agent team with roles in YAML and boot it with a single command.
- Mixed Harnesses: Run Claude Code and Codex agents together in the same rig, managed as one system.
- Lead Agent Coordination: Talk to a lead agent that coordinates specialists across teams and reports back decisions needing attention.
- Persistent Teams: Keep team work and context at stable addresses instead of a pile of terminal sessions.
- Terminal UI: View the rig as a graph or a table of seats showing runtime, model, context and state, with per-seat detail.
- Guided First Use: A getting-started path installs, launches a two-agent team in your repository and produces one reviewed change.
- Permission Allowances: Optionally lets your agent add scoped native rules so OpenRig commands run without repeated prompts, with an undo.
- CLI Install: Distributed as @openrig/cli on npm, requiring Node.js 22 or 24 and tmux on macOS or Linux.
Best for
- Multi-Agent Coding Teams: Stand up a persistent team of coding agents with defined roles for a repository.
- Cross-Harness Workflows: Combine Claude Code and Codex strengths within one coordinated team.
- Outcome-Driven Delegation: Describe a desired outcome to a lead agent and let it split work among specialists.
- Agent Monitoring: Watch seats, models, context and state of many agents from one terminal UI.
- Reviewed Changes: Have agents produce a change in a repo and another review it before you merge.
- Agent Research Experiments: Prototype and study networks of cooperating agents on your own machine.