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If Julep AI's pricing doesn't fit your budget, consider these agent alternatives:
Open-source and hosted memory layer that gives AI agents persistent, self-updating recall across sessions, users, and tools.
Starting at $0/month
✓ Free plan available
Temporal knowledge graph memory service that gives AI agents accurate, time-aware recall of users, business data, and past conversations.
Free tier available
✓ Free plan available
Open-source stateful agent framework from the MemGPT team — persistent, self-editing memory across conversations, model-agnostic, plus a hosted cloud platform for deploying agents that actually remember.
Free tier available
✓ Free plan available
No. The Julep hosted backend and dashboard were shut down on December 31, 2025. The founding team has stated that the julep.ai domain redirects to memory.store, though users should verify current redirect behavior independently. The platform is available only as an open-source, self-hosted solution via the GitHub repository at github.com/julep-ai/julep. The founding team has pivoted to building memory.store, an MCP-compatible memory service.
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 stored memories and build knowledge graphs that connect related concepts, entities, and events. This enables agents to recall relevant context from weeks or months ago, recognize patterns across interactions, and build increasingly rich domain understanding over time.
Julep uses a container-based architecture and can be deployed on any platform that supports Docker, including AWS, GCP, Azure, on-premise Kubernetes clusters, or a single VM for development. Refer to the self-hosting documentation in the GitHub repository for current resource requirements, configuration, and scaling recommendations.
Compared to the other agent platforms in our directory, Julep is more opinionated and infrastructure-focused than LangChain, providing a full stateful backend rather than a library of building blocks. Unlike CrewAI, which centers on multi-agent collaboration patterns, Julep specializes in long-running workflows with durable state. Relative to Letta (formerly MemGPT), Julep emphasizes workflow orchestration alongside memory, while Letta focuses more narrowly on memory-centric agent design.
Memory.store is the new product from the Julep founding team, launched as part of the late-2025 strategic shift. Julep remains open-source and focused on full agent workflow infrastructure for developers who self-host, while memory.store is reported to be a consumer-facing, MCP-compatible service that provides shared persistent memory across AI tools. The two products serve different audiences: Julep targets developers building custom agent backends, while memory.store targets end users who want memory across existing AI assistants.
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