OpenCrab vs Pegasus AI
Side-by-side comparison of features, pricing, ratings, and alternatives.
OpenCrab is an Ontology Graph RAG platform that extracts entities, relationships, evidence, and claims from documents to build source-cited ontology graphs. These graphs can be packaged into reusable ontology packs and queried through graph RAG or MCP-compatible AI tools like Claude, ChatGPT, Cursor, and Codex.
Pegasus AI is a workspace RAG chatbot platform that turns uploaded documents into operated AI assistants. Teams can create and manage chatbots, chat in the workspace, deploy a controlled website widget, connect scoped API clients, and track usage across personal and team contexts.
Pegasus plans scale by bot count, document storage, daily credits, and advanced feature access. Monthly prices are shown so builders can choose the right tier quickly.
- MCP-based integration with Claude, ChatGPT, Cursor, and Codex
- Graph RAG with grounded source citations
- Supports PDF, URL, OCR, Notion, and GitHub ingestion
- Ontology packs can be shared, versioned, and sold via marketplace
- Multiple deployment surfaces: workspace chat, website widget, and API clients
- Granular source-level usage analytics
- Widget access controls including allowed origins and token rotation
- Team sharing and owner-managed bot inventories
- Relatively early-stage platform
- Ontology graph concepts may require a learning curve
- Pricing may be limited for team or enterprise features
More alternatives & similar tools
Alternatives to OpenCrab
View all →Alternatives to Pegasus AI
View all →The Verdict
AI-generated from listing dataPegasus AI offers a ready‑to‑use workspace RAG chatbot with granular analytics and team controls at no cost, while OpenCrab provides a graph‑based RAG platform with ontology packs and paid tiers for advanced features.
Key differences
- •Deployment surfaces: Pegasus includes workspace chat, website widget, and API; OpenCrab focuses on graph RAG via MCP integration.
- •Data model: Pegasus uses document‑driven bots; OpenCrab uses ontology graphs and versioned packs.
- •Pricing structure: Pegasus is free with usage‑based scaling; OpenCrab has free tier plus $10/$30 paid plans.
- •Analytics: Pegasus offers source‑level usage analytics; OpenCrab does not specify analytics depth.
- •Collaboration: Pegasus provides team sharing and owner‑managed inventories; OpenCrab’s marketplace shares packs but lacks built‑in team bot management.
Pricing & value
Pegasus is free with scaling; OpenCrab charges $10–$30 per month for Pro/Expert tiers.
Ease of use / learning curve
Pegasus uses a three‑step bot creation; OpenCrab requires understanding ontology graphs, a higher learning curve.
Features & depth
OpenCrab adds graph RAG, source‑cited answers, and ontology pack marketplace not present in Pegasus.
Integrations & ecosystem
OpenCrab integrates with Claude, ChatGPT, Cursor, Codex, and MCP; Pegasus only offers OpenAI‑compatible API.
Collaboration
Pegasus includes team views, private/shared bots, and owner‑managed inventories; OpenCrab’s collaboration is limited to pack sharing.
Scalability
Pegasus scales by bot count, storage, and daily credits; OpenCrab’s scaling limits are not specified.
Security & privacy
Pegasus provides widget token rotation and allowed‑origin controls; OpenCrab does not specify comparable controls.
Choose OpenCrab if…
Researchers or builders who need graph‑based RAG, ontology packs, and integration with multiple LLMs.
Choose Pegasus AI if…
Teams needing quick, document‑based chatbots with granular analytics and free entry.
Common questions
Is there any cost to start using Pegasus AI?
No, Pegasus offers a free plan; costs only arise from scaling bot count, storage, or daily credits.
Can OpenCrab be used without paying for Pro or Expert tiers?
Yes, OpenCrab provides a free tier, but advanced features require the $10 or $30 monthly plans.
Which platform supports team sharing of AI assistants?
Pegasus AI includes built‑in team views and owner‑managed bot inventories; OpenCrab does not offer comparable team sharing.
