Julep
Framework for creating AI agents that remember past interactions and can perform complex tasks
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for Julep, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology — every score is re-derived by the same automated method as an agent's public evidence changes.
Overview
Julep's platform is an open source managed backend to create AI agents. Developers can create stateful AI agents in 10 mins with Julep. The platform is supported by a multi-agentic framework, and automatically manages user history, supports most LLMs, built-in RAG pipeline, integrations with 100+ tools, adaptive context (management), and tasks. Julep's main concepts are agents, sessions, and users. You can start a session and add agents and users to it. These agents can create a plan and perform tasks. Tasks is the most important feature of Julep and will be launched around Aug 15. Tasks are workflows for AI agents, kind of like Github actions. Memories for users - coming soon
Key features and capabilities
- multi-agentic framework, tasks (workflow orchestration), built-in RAG pipeline, adaptive context (management), built-in integration for 100+ tools, support for most LLMs, automatically stores history (stateful)
Use cases
- AI social media assistant, DevRel Assistant for OpenSource projects, Backend Operations Automation, Chatbots with company knowledge, Ticket Management Sustem, Customer Support System, Bulk Feedback Analysis, Topic Extraction from bulk customer feedback emails