pref0 is preference learning, not memory. See how it compares to memory systems, RAG, and custom solutions.
Mem0 provides memory for AI agents. pref0 provides preference learning. Both help agents personalize, but they solve different problems in different ways.
Zep provides long-term memory for AI assistants. pref0 provides preference learning. Both improve personalization, but they approach it differently.
Many teams build custom memory systems for their agents. pref0 replaces the preference-learning portion with a purpose-built API that handles extraction, scoring, and compounding.
RAG retrieves documents to augment LLM responses. pref0 retrieves learned preferences. They solve different problems and work well together.
LangChain has built-in memory modules for conversation history. pref0 provides preference learning that goes beyond conversation recall to structured preference extraction.
LangMem is LangChain's SDK for adding long-term memory to agents. pref0 is a hosted API for preference learning. Both help agents improve over time, but they differ in scope, output format, and ecosystem requirements.
Letta is a stateful agent platform where agents manage their own memory. pref0 is a focused preference learning API. They operate at different levels of abstraction.
ChatGPT Memory is a consumer feature built into OpenAI's ChatGPT product. pref0 is a developer API for adding preference learning to any agent. They serve very different audiences.
Pinecone is a vector database for similarity search. pref0 is a preference learning API. Pinecone provides infrastructure; pref0 provides intelligence. They operate at different layers of the stack.
CrewAI has built-in memory for multi-agent crews. pref0 provides preference learning that works with any framework. Both help agents retain context, but they differ in scope and flexibility.
Semantic Kernel is Microsoft's SDK for building AI applications, with memory abstractions for vector storage. pref0 is a focused preference learning API. They operate at very different levels of abstraction.
Your users are already teaching your agent what they want. pref0 makes sure the lesson sticks.