Zep

Zep Cloud API

The Zep Cloud API delivers agent memory and temporal knowledge graph services over REST. It exposes endpoints for users, sessions, messages, memory retrieval, the per-user graph, facts, summaries, and customizable context blocks for prompt assembly.

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API entry from apis.yml

aid: zep:cloud-api
name: Zep Cloud API
description: The Zep Cloud API delivers agent memory and temporal knowledge graph services over REST.
  It exposes endpoints for users, sessions, messages, memory retrieval, the per-user graph, facts, summaries,
  and customizable context blocks for prompt assembly.
humanURL: https://help.getzep.com
baseURL: https://api.getzep.com/api/v2
tags:
- Memory
- Graph
- Sessions
- User
- Facts
- Context
- REST
tags_raw:
- Memory
- Graph
- Sessions
- Users
- Facts
- Context
- REST
properties:
- type: Documentation
  url: https://help.getzep.com
- type: GettingStarted
  url: https://help.getzep.com/v2/quickstart
- type: Signup
  url: https://app.getzep.com
- type: SDKs
  url: https://github.com/getzep/zep-python
- type: SDKs
  url: https://github.com/getzep/zep-js
- type: SDKs
  url: https://github.com/getzep/zep-go
- type: GitHubRepository
  url: https://github.com/getzep/zep
- type: Pricing
  url: https://www.getzep.com/pricing
- type: Authentication
  url: https://help.getzep.com/projects
features:
- name: Temporal Knowledge Graph
  description: Per-user knowledge graph that captures entities, relationships, and time-aware facts.
- name: Memory and Sessions
  description: Manage users and chat sessions, with messages persisted for retrieval and summarization.
- name: Automatic Fact Extraction
  description: Extract structured facts from messages and invalidate facts that are superseded.
- name: Graph RAG
  description: Retrieve graph-grounded context for prompts using semantic and graph traversal queries.
- name: Customizable Context Blocks
  description: Compose reusable, customizable blocks of context to inject into agent prompts.
- name: Custom Entity Types
  description: Define domain-specific entity types to capture vertical-specific knowledge.
- name: Multi-Source Ingestion
  description: Ingest from chat, documents, and structured JSON to enrich the graph.
- name: Low-Latency Retrieval
  description: Sub-200ms p95 retrieval latency for use in real-time agent loops.
- name: Enterprise Compliance
  description: SOC 2 Type II and HIPAA-aligned controls for regulated workloads.
useCases:
- name: Personal AI Assistants
  description: Maintain long-term user memory across conversations and devices.
- name: Customer Support Copilots
  description: Provide agents with persistent customer history and account facts.
- name: Sales Agents
  description: Track deal context, stakeholders, and prior interactions per account.
- name: Healthcare Workflows
  description: Persist patient context with HIPAA-aligned controls and audit trails.
- name: Voice Agents
  description: Inject low-latency context blocks into real-time voice agent prompts.
integrations:
- name: LangChain
- name: LangGraph
- name: LlamaIndex
- name: CrewAI
- name: AutoGen
- name: OpenAI
- name: Anthropic
- name: Vercel AI SDK
- name: Pipecat
- name: LiveKit
authentication:
- type: API Key
  description: Zep Cloud uses an Api-Key header with project keys prefixed with z_; self-hosted uses Bearer
    tokens.