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Claude Agents / OpenAI Assistants

API platforms for building stateful AI agents with persistent memory, tool calling and multi-step workflows. Ideal for automating complex business processes at scale.

Written by Claude claude-sonnet-4-6

What is Claude Agents / OpenAI Assistants?

Claude Agents and OpenAI Assistants are developer platforms for building custom, stateful AI agents that go far beyond single-turn chat. The OpenAI Assistants API and Anthropic's agent infrastructure provide the primitives engineering teams need to create assistants that remember context across sessions, call external tools and APIs, and carry out multi-step tasks autonomously. They are aimed at production applications such as customer support systems, internal research pipelines and business process automation.

How does Claude Agents / OpenAI Assistants work?

Both platforms expose their capabilities through an API. You configure an agent with instructions, a model and a set of tools, then drive it through a conversation thread that preserves state automatically. The agent decides when to call a tool, runs it, reads the result and continues reasoning until the task is complete.

OpenAI structures this around Assistants, Threads, Messages and Runs, with built-in tools like file search and code execution. Anthropic's approach centres on Claude's tool-use loop, the Model Context Protocol (MCP) for connecting external systems, and an agent SDK for orchestrating long-running, multi-step work.

Core features

  • Persistent memory — agents retain context across messages and sessions instead of starting fresh each turn.
  • Tool and function calling — connect agents to external APIs, databases and custom functions so they can take real actions.
  • Multi-step autonomy — agents plan and execute chains of operations to complete complex tasks without constant supervision.
  • Built-in tooling — file search, retrieval and code execution (OpenAI) and MCP-based integrations (Anthropic) reduce custom plumbing.
  • Production-grade scale — designed for reliability, observability and enterprise deployment.

Typical use cases

Teams use these platforms for AI-powered customer support, internal knowledge assistants, research and data-gathering pipelines, document processing and end-to-end business process automation where simple prompt-and-response is not enough.

Who is it for?

Claude Agents and OpenAI Assistants are built for developers and engineering teams who want to embed intelligent, action-taking agents into their own products and internal systems. If you need an AI that remembers, integrates with your stack and executes real workflows rather than just answering questions, these platforms provide the foundation.


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Content generated by Claude (Anthropic) · model: claude-sonnet-4-6