Zep

Zep is long-term memory infrastructure purpose-built for AI agents and assistants that need to remember context across sessions, users, and workflows. Rather than treating memory as a temporary buffer that resets with every conversation, Zep gives agents persistent, structured memory and knowledge management so they can recall prior interactions, user preferences, and task history over days, weeks, or indefinitely. For teams building autonomous agents, chat assistants, or multi-step workflows, this kind of durable memory layer is often the difference between a demo that impresses once and a production system that actually improves with use.

At its core, Zep handles the hard parts of agent memory: extracting salient facts from conversation history, summarizing long interactions, deduplicating and updating knowledge as it changes, and serving relevant memory back to the agent at inference time. This lets developers building on frameworks like LangChain Agents, AutoGen, CrewAI, or custom agent stacks avoid reinventing memory pipelines from scratch. Instead of stitching together vector stores, summarization jobs, and retrieval logic by hand, teams can plug in Zep as a dedicated memory and knowledge management layer and focus on agent behavior and business logic.

Inside BusinessMCP.com's directory, Zep sits alongside other autonomous agent frameworks and infrastructure tools because memory is a foundational piece of any serious agent deployment — but it typically needs to work alongside your other systems: CRM data, ad platform metrics, internal databases, and revenue tooling. That's exactly what BusinessMCP's managed MCP hosting is for. Instead of standing up Zep in isolation and separately wiring it to every tool your agents need, you connect Zep and your other business systems once to a single hosted MCP server, exposed through your own /api/mcp endpoint secured with a Bearer mcph_* key. Any model-agnostic AI agent — Claude, GPT, Gemini, or an agent built on AutoGPT, SuperAGI, or Semantic Kernel — can then call that one endpoint to get persistent memory alongside live business context, without you managing separate integrations for each.

This unified approach matters most when agent memory needs to be more than a standalone feature. A support agent that remembers a customer's history is only useful if it can also pull the latest order status from your database. A sales assistant that recalls prior conversations is more valuable if it can also see current ad spend or pipeline data. By hosting Zep's memory infrastructure behind the same MCP server as your other tools and data sources, BusinessMCP.com lets you build agents that are both memory-aware and business-aware, all monitored through one BI dashboard that shows usage, performance, and cost across every connected tool — cookieless, GDPR-friendly, and consistent regardless of which AI model or agent framework is calling it.

Teams evaluating long-term memory for AI agents typically want to know how memory will scale, how it integrates with existing agent frameworks, and how it coexists with other operational tools. Hosting Zep through BusinessMCP answers all three: scaling and uptime are managed, integration happens through a standard MCP interface any agent can call, and coexistence with CRMs, databases, and ad platforms happens naturally because they all live behind the same endpoint. The result is a simpler path from 'agent with memory' to 'agent that's actually useful in production.'