Build AI agent memory with OpenAI Agents SDK and Mem0
This tutorial shows how to give AI agents long-term memory using the OpenAI Agents SDK and Mem0. Most agents forget context after a session ends, but memory systems let them retain preferences, decisions, and goals across interactions. The guide builds a memory-enabled agent that searches and saves information via Mem0’s semantic search, then connects the same system to OpenCode for persistent…
What you can do with it
AI at Work →Add persistent memory to agents with Mem0’s search/save tools
What you get You can store internal project rules.
Semantic search retrieves relevant past interactions.
- Who for
- founders
- Cost
- Price not stated
- Effort
- minutes
Use it for
- Track coding preferences
- Remember customer purchase history
- Store internal project rules
How to set it up · From the article
- Install OpenAI Agents SDK and Mem0: `pip install openai-agents mem0ai`
- Set API keys: `export OPENAIAPIKEY="your-key"` and `export MEM0APIKEY="your-key"`
- Define `searchmemory` and `savememory` tools using Mem0’s client
- Connect tools to an agent with instructions to use memory proactively
Watch out Check the details on the maker's page first
Key points from the news
- OpenAI Agents SDK and Mem0 enable agents to store/retrieve long-term memory across sessions
- Tools like `searchmemory` and `savememory` handle retrieval and updates via semantic search
- Mem0’s MCP protocol lets developers add memory to OpenCode without custom coding
The process involves installing the OpenAI Agents SDK and Mem0, setting up API keys, and creating tools for memory retrieval (searchmemory) and storage (savememory). The agent uses these tools to recall past inputs and update its knowledge dynamically. Mem0’s Model Context Protocol (MCP) also lets developers integrate memory into OpenCode without custom tool-building. The tutorial demonstrates saving a user’s preference for Python and uv and retrieving it later, showing how agents can avoid repetitive setup instructions. Abid Ali Awan, a certified data scientist, authored the guide, which highlights practical applications like customer preference tracking or internal decision tracking.
The story so far
2 episodes →- Build AI agent memory with OpenAI Agents SDK and Mem0this story
How to Give Your AI Agent Memory
KDnuggets · 6 November 2026
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This text was published by KDnuggets and written by Abid Ali Awan. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.
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