Julep — Serverless AI Agent Workflows

Julep Architecture & Workflow Design

Core Concepts

Workflow Definition (YAML)

name: research_and_report
description: Research a topic and generate a report

tools:
  - name: web_search
    type: integration
    integration:
      provider: brave
      method: search

main:
  # Step 1: Search the web
  - tool: web_search
    arguments:
      query: "{{inputs.topic}} latest developments 2026"

  # Step 2: Analyze results in parallel
  - parallel:
    - prompt:
      - role: user
        content: "Summarize key findings: {{_}}"
    - prompt:
      - role: user
        content: "List open questions: {{_}}"

  # Step 3: Generate final report
  - prompt:
    - role: user
      content: |
        Create a research report combining:
        Summary: {{outputs[0]}}
        Open Questions: {{outputs[1]}}

Persistent Memory

Agents maintain context across sessions:

# Session 1
session = client.sessions.create(agent_id=agent.id)
client.sessions.chat(session.id, messages=[
    {"role": "user", "content": "My name is Alice, I work on ML pipelines"}
])

# Session 2 — agent remembers Alice
client.sessions.chat(session.id, messages=[
    {"role": "user", "content": "What do you know about me?"}
])
# -> "You're Alice, you work on ML pipelines..."

100+ Tool Integrations

Pre-built integrations include:

• Search: Brave, Wikipedia, arXiv
• Communication: Email, Slack, Discord
• Storage: S3, Google Drive
• Dev Tools: GitHub, Linear, Jira
• Data: SQL databases, REST APIs
• Custom: Any webhook or function

Error Handling & Self-Healing

main:
  - tool: flaky_api
    arguments: { query: "{{inputs.q}}" }
    on_error:
      retry:
        max_retries: 3
        backoff: exponential
      fallback:
        - prompt:
          - role: user
            content: "API failed. Use cached data instead."

Parallel Execution

Run multiple steps concurrently for faster workflows:

main:
  - parallel:
    - tool: search_arxiv
      arguments: { query: "{{inputs.topic}}" }
    - tool: search_web
      arguments: { query: "{{inputs.topic}}" }
    - tool: search_github
      arguments: { query: "{{inputs.topic}}" }
  - prompt:
    - role: user
      content: "Combine results from all 3 sources: {{outputs}}"

FAQ

Q: What is Julep? A: Julep is an open-source serverless platform for building AI agent workflows with persistent memory, parallel execution, 100+ tool integrations, and automatic error recovery. Think "Firebase for AI agents."

Q: How is Julep different from LangChain or CrewAI? A: Julep is a managed platform, not a library. It handles infrastructure (execution, storage, retries, scaling) so you focus on workflow logic. LangChain/CrewAI are code frameworks you host yourself.

Q: Is Julep free? A: The open-source version is free. Julep also offers a hosted cloud service with a free tier.