CustomGPT.ai vs OpenAI Agents SDK
Side-by-side comparison · Updated October 2026
| Description | CustomGPT.ai is your ultimate no-code solution for smarter business operations. Effortlessly integrate with Hubspot, SharePoint, websites, and thousands of other data sources to get instant, precise answers from your information—no delays, no hassle. Trusted by leaders like MIT and Bernalillo County, CustomGPT.ai is a secure RAG-based platform that never trains on your data, ensuring complete privacy and control. With industry-leading accuracy, SOC-2 Type 2, and GDPR compliance, CustomGPT.ai delivers unmatched reliability. Deploy it internally to supercharge employee productivity or externally to revolutionize customer support. | The OpenAI Agents SDK is the official framework from OpenAI for building multi-agent systems in Python. Despite the name, it is provider-agnostic: it works with OpenAI APIs plus over 100 other LLMs, so you are not locked into a single provider. The SDK revolves around nine core concepts. Agents are LLMs configured with instructions, tools, guardrails, and handoffs. Tools can be Python functions, MCP servers, or hosted tools. Guardrails provide configurable safety checks for input and output validation. Handoffs let agents delegate tasks to other agents. Human-in-the-loop mechanisms let you involve people at any step. Sessions manage conversation history automatically across runs. Tracing tracks every step for viewing, debugging, and optimization. Realtime agents support voice workflows with gpt-realtime-1.5. The newest addition is Sandbox Agents (v0.14.0+). A sandbox agent operates in a containerized environment with its own filesystem, shell access, and workspace. You define a Manifest specifying files, directories, Git repos, environment variables, and mounts. The agent can then inspect files, run commands, apply patches, and carry workspace state across longer tasks. Sandbox providers include local Unix, Docker, and hosted options (Blaxel, Cloudflare, Daytona, E2B, Modal, Runloop, Vercel). Sandbox Memory lets future runs learn from prior runs with read-only and generate-only modes, live updates when stale memory is discovered, and multi-turn grouping. Workspace mounts support local files, S3, Cloudflare R2, GCS, and Azure Blob Storage. Installation is straightforward: `pip install openai-agents`. Optional extras include voice support and Redis sessions. The SDK requires Python 3.10+ and is MIT licensed with 25,400 GitHub stars and 278 contributors. |
| Category | Customer Support | DeveloperApplication |
| Rating | No reviews | No reviews |
| Pricing | Pricing unavailable | Free |
| Starting Price | N/A | N/A |
| Plans | — |
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| Use Cases |
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| Tags | AI-driven solutionscustomer serviceengagementresearchmulti-source data integrations | agentsopenaiframeworkmulti-agentpython |
| Features | ||
| Easy Setup | ||
| Upload Documents in 1400+ formats | ||
| Sitemap Integration | ||
| Multi-Source Data Integrations | ||
| Support for 92 languages | ||
| Powered by ChatGPT-4 | ||
| Accurate Responses From Your Content | ||
| No Hallucinations / Making Up Facts | ||
| Citations And Sources | ||
| Secure, Privacy-first, Business-grade | ||
| Deploy your Custom Chatbot | ||
| Public or Private Access | ||
| Embed on Website & LiveChat | ||
| API Access | ||
| ChatGPT Plugin Store | ||
| Search Generative Experience | ||
| Provider-agnostic: supports 100+ LLMs beyond OpenAI | ||
| Agent configuration with instructions, tools, and guardrails | ||
| Handoffs for delegating tasks between agents | ||
| Human-in-the-loop mechanisms | ||
| View CustomGPT.ai | View OpenAI Agents SDK | |
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