Complete pricing guide for Julep AI. Compare all plans, analyze costs, and find the perfect tier for your needs.
Not sure if free is enough? See our Free vs Paid comparison →
Still deciding? Read our full verdict on whether Julep AI is worth it →
month
Limited by your own infrastructure capacity
month
Service discontinued
Pricing sourced from Julep AI · Last verified March 2026
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.
AI builders and operators use Julep AI to streamline their workflow.
Try Julep AI Now →Mem0: Universal memory layer for AI agents and LLM applications. Self-improving memory system that personalizes AI interactions and reduces costs.
Compare Pricing →Context engineering platform that builds temporal knowledge graphs from conversations and business data, delivering personalized context to AI agents with <200ms retrieval latency.
Compare Pricing →Stateful agent platform inspired by persistent memory architectures.
Compare Pricing →The industry-standard framework for building production-ready LLM applications with comprehensive tool integration, agent orchestration, and enterprise observability through LangSmith.
Compare Pricing →Open-source Python framework that orchestrates autonomous AI agents collaborating as teams to accomplish complex workflows. Define agents with specific roles and goals, then organize them into crews that execute sequential or parallel tasks. Agents delegate work, share context, and complete multi-step processes like market research, content creation, and data analysis. Supports 100+ LLM providers through LiteLLM integration and includes memory systems for agent learning. Features 48K+ GitHub stars with active community.
Compare Pricing →