
Mem0
Most chatbots forget customers the moment a session ends. With Mem0, your AI agent builds persistent memory across conversations. It recalls preferences, past issues, and purchase history, delivering personalized support that improves with every interaction.




Your agent stores and retrieves user-specific memories through Mem0, turning every conversation into context for the next one.
Mem0
Real scenarios where persistent AI memory transforms anonymous interactions into relationships that grow stronger over time.
A customer who always orders medium roast, whole bean, with expedited shipping returns to your site. Your AI Agent queries Mem0 for their user profile, retrieves their stored preferences, and greets them with 'Welcome back! Shall I reorder your usual medium roast, whole bean with express delivery?' The customer feels recognized. Your repeat purchase rate climbs.
A customer messaged last week about a billing discrepancy that required manager approval. They return asking for an update. Your AI Agent searches Mem0 semantically for 'billing issue' under their user ID, finds the stored context, and responds with the resolution status. No 'Can you explain your issue again?' moments. Frustration eliminated.
Over six months of conversations, your AI Agent has stored dozens of memory records for a B2B customer in Mem0, tracking their growth from a starter plan to enterprise needs. When their account manager prepares for a renewal call, the agent exports all memories filtered by this customer. The manager walks in knowing every pain point discussed, feature requested, and compliment given.

Mem0
FAQs
Mem0 uses embeddings-based semantic search rather than keyword matching. When a customer asks about something discussed previously, the agent sends a natural language query to Mem0. The system finds memories with similar meaning, even if the exact words differ. This means asking about 'delivery problems' will surface memories about 'shipping delays' too.
Yes. Every memory in Mem0 is associated with a unique user_id. The agent assigns each customer a persistent identifier, ensuring their memories are completely isolated. When Customer A returns, the agent only retrieves Customer A's memories. There is no cross-contamination between user profiles.
You control what gets saved. The agent can store conversation summaries, extracted preferences, product interests, support issue details, or any structured information you configure. Mem0 supports both inferred memories (AI extracts key points) and direct storage of raw messages.
You have full control. Memories can be deleted individually by ID, in bulk using filters, or for an entire user entity. The agent can also be configured to clean up memories after a set period. For compliance needs, you can delete all memories associated with a specific customer instantly.
CRMs store structured records that humans fill in. Mem0 gives your AI agent its own memory layer that it reads and writes to automatically during conversations. The agent recalls context mid-conversation at machine speed, personalizing responses in real-time. No human needs to log anything, and retrieval is semantic, not field-based.
Yes. Mem0 supports organizations and projects. You can create separate projects within your organization, each with its own memory scope. The agent filters memories by project_id, so your e-commerce support memories stay separate from your B2B sales memories.
Mem0 reports 91% faster response times compared to full-context approaches. But if latency occurs, the agent continues the conversation while memory lookups complete in the background. Customers never experience a delay, the personalization just enhances responses when available.
Yes. Memories are stored at the user level, not the agent level. If you run separate agents for sales and support, both can read and write to the same customer's Mem0 profile. The support agent knows what the sales agent discussed, and vice versa, creating unified customer understanding.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.

Privacy & Security
At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.