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WorkflowsApr 7, 2026·2 min de lecture

Julep — Stateful AI Agent Platform with Workflows

Build persistent AI agents with multi-step workflows, long-term memory, and tool integrations. Julep handles state management so agents remember across sessions.

What is Julep?

Julep is a platform for building AI agents with persistent state, multi-step workflows, and long-term memory. Unlike stateless LLM calls, Julep agents maintain context across sessions, execute complex multi-step tasks, and integrate with 100+ external tools — all managed server-side.

Answer-Ready: Julep is a stateful AI agent platform with multi-step workflows, long-term memory, and 100+ tool integrations. Agents persist across sessions with server-side state management. Works with Claude, GPT, and Gemini models.

Best for: Developers building persistent AI agents that need memory and multi-step workflows. Works with: Claude, GPT-4o, Gemini, Llama. Setup time: Under 5 minutes.

Core Features

1. Multi-Step Workflows

# Define complex workflows in YAML
name: research_and_report
steps:
  - tool: web_search
    arguments:
      query: "{{topic}} latest developments 2026"

  - prompt: |
      Summarize these search results into key findings:
      {{_.output}}

  - tool: send_email
    arguments:
      to: "{{user_email}}"
      subject: "Research Report: {{topic}}"
      body: "{{_.output}}"

2. Long-Term Memory

# Memories persist across sessions
session1 = client.sessions.create(agent_id=agent.id)
client.sessions.chat(session1.id, messages=[
    {"role": "user", "content": "My name is Alice and I work on payments"}
])

# New session, agent remembers
session2 = client.sessions.create(agent_id=agent.id)
response = client.sessions.chat(session2.id, messages=[
    {"role": "user", "content": "What do you know about me?"}
])
# "You're Alice and you work on payments"

3. Document Storage

# Upload documents for RAG
client.agents.docs.create(
    agent_id=agent.id,
    title="Company Handbook",
    content="...",
    metadata={"type": "policy", "year": 2026},
)

# Agent searches docs during conversation

4. Tool Integrations

100+ built-in integrations:

Category Tools
Search Brave, Google, Wikipedia
Communication Email, Slack, Discord
Data SQL, S3, Google Sheets
Code Python execution, GitHub
Browser Web scraping, screenshots

5. Parallel Execution

steps:
  - parallel:
    - tool: web_search
      arguments: { query: "topic A" }
    - tool: web_search
      arguments: { query: "topic B" }
    - tool: web_search
      arguments: { query: "topic C" }

  - prompt: "Compare findings: {{_.output}}"

Architecture

Client SDK → Julep API Server
                ↓
         ┌──────┴──────┐
         │  State Mgmt  │  ← Sessions, memory, documents
         │  Workflow     │  ← Multi-step task execution
         │  Tool Router  │  ← 100+ integrations
         │  LLM Router   │  ← Claude, GPT, Gemini
         └──────────────┘

FAQ

Q: Is Julep open source? A: The SDK and API specs are open-source. The platform is available as a managed service.

Q: How does memory work? A: Julep automatically extracts and stores relevant facts from conversations, searchable across sessions.

Q: Can I self-host? A: Self-hosting is available for enterprise plans.

🙏

Source et remerciements

Created by Julep AI. Licensed under Apache 2.0.

julep-ai/julep — 5k+ stars

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