Phoenix - Your AI AssistantAI Agent With Memory — Short & Long-Term Context
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5 days
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What you get with this Offer
I will build an AI agent with persistent memory — implementing short-term conversational memory for within-session context, long-term memory for facts and preferences persisted across sessions, and semantic memory retrieval so the agent surfaces relevant past context when it becomes applicable to the current task. Agents without memory are amnesiac — every interaction starts from scratch, requiring users to repeatedly provide the same context, and preventing the agent from learning and improving its responses based on accumulated interaction history that a human assistant would naturally retain.
The build covers short-term conversation buffer management, long-term memory storage (database or vector store), semantic retrieval of relevant past memories, memory consolidation to prevent unbounded
The build covers short-term conversation buffer management, long-term memory storage (database or vector store), semantic retrieval of relevant past memories, memory consolidation to prevent unbounded
What the Freelancer needs to start the work
Please describe your agent use case, the types of information the agent should remember, your preferred storage backend, your LLM provider, and your user isolation requirements.