Julep AI is completely free with 8 features included. No paid tiers offered, making it perfect for budget-conscious users.
No. The Julep hosted backend and dashboard were shut down on December 31, 2025. The platform is now available only as an open-source, self-hosted solution. The founding team has pivoted to building memory.store, an MCP-compatible memory layer for AI tools.
Julep maintains structured, searchable memory that captures relationships, context, learned patterns, and domain-specific knowledge — not just message logs. Agents can perform semantic search across memories and build knowledge graphs, enabling genuine learning and personalization over time.
Julep uses a container-based architecture and can be deployed on any infrastructure that supports Docker containers. The self-hosting guide at docs.julep.ai provides detailed setup instructions including resource requirements, configuration, and scaling recommendations.
Yes. Julep provides a structured tool integration system where agents can invoke web search, databases, third-party APIs, and custom tools within their workflows. The platform handles authentication, rate limiting, and error recovery for external tool calls.
Julep is more opinionated and infrastructure-focused than LangChain, providing a full backend rather than a toolkit. Unlike CrewAI which focuses on multi-agent collaboration patterns, Julep specializes in stateful workflows with persistent memory. Julep is best for teams that need production-grade agent infrastructure with long-running task support.
Memory.store is the new product from the Julep founding team. While Julep focuses on full agent workflow infrastructure (now open-source and self-hosted), memory.store is a consumer-facing MCP-compatible service that provides shared context and memory across AI tools like Claude, ChatGPT, and Cursor.
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Last verified March 2026