Zep | AI Agent | Alternates | Alternates - AI Agent Discovery Platform

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Zep

Backed By Zep

AI memory and context management platform for LLM-powered applications.

AI Agents, Governance & Orchestration

Overview

Zep is a developer tool that provides persistent memory and context management for applications powered by large language models (LLMs). It offers APIs to store, retrieve, and manage user and conversation context, enabling more personalized and context-aware AI experiences. Zep integrates with popular LLM providers and supports secure, scalable deployment for production-grade AI apps.

Use Cases

Persist and retrieve user context

Enhance AI app personalization

Integrate with OpenAI, Anthropic, and more

Support for multi-turn conversations

Secure and scalable deployment

API-first architecture

Top Integrations

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API

Product Info

Deployment Method

API-basedSaaS

Model Type

Closed Source

Support

Pricing

Free Plan

$0/month

1,000 Episodes free per month

Flex Plan (Metered)

$25/month

20,000 Credits included

Enterprise

Custom Quote

Custom limits & guaranteed rate limits

Alternates Research On The Product

Top Features

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Agent Memory with Temporal Knowledge Graphs (powered by Graphiti)

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Graph RAG for dynamic data retrieval and business data integration

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Automated Context Assembly (Context Block) for LLM prompts

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Hybrid Retrieval (Vector, Keyword, Graph Traversal)

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Bi-temporal Fact Tracking (Event Time and Ingestion Time)

Strengths

State-of-the-art in agent memory (LongMemEval benchmark)
Precise temporal context tracking ('what changed when')
Low latency retrieval (P95 < 200ms)
Reduces LLM hallucinations and token cost
Open-source core (Graphiti) available for full control

Weaknesses

Data ingestion (episodes) from diverse, non-chat sources requires custom pipelines, increasing the risk of data errors or incompleteness if not built correctly.
The deprecation of the Community Edition suggests a shift toward the managed cloud service, potentially limiting the viability of existing self-hosted open-source deployments.
Free and Flex plan users rely on community support (Discord) or in-app chat, which may not meet urgent production needs.
Unexpected overage charges on the Flex Plan due to the credit-per-episode model (especially for larger messages/data payloads).
Self-hosting Zep OSS requires significant infrastructure management costs (Neo4j, OpenSearch, LLM infrastructure).

Reviews From The Web

Real user experiences from across different platforms

Zep's memory layer transformed our AI agent from a simple chatbot into a truly intelligent assistant that understands context and remembers user preferences.

Sarah Johnson

Recent

Zep Customer Stories (CTO, Athena Intelligence)

Recommendations

Teams building conversation-heavy AI agents (chatbots, support) that require precise, long-term memory

ots, support) that require precise, long-term memory.

Enterprises in regulated industries (Healthcare, Finance) that need SOC 2/HIPAA compliance and BYOC/BYOK deployment

inance) that need SOC 2/HIPAA compliance and BYOC/BYOK deployment.

Users primarily focused on RAG over static documents (competitors like Graphlit may be better suited for breadth of data ingestion)

ts (competitors like Graphlit may be better suited for breadth of data ingestion).

Developers seeking a free, self-hosted, fully-supported Community Edition (Zep OSS is now deprecated/requires more self-management)

orted Community Edition (Zep OSS is now deprecated/requires more self-management).

Final Verdict

Enables fast, accurate, and personalized AI agents with long-term memory and temporal context, significantly reducing LLM hallucinations and token costs by systematically engineering and retrieving only the most relevant, up-to-date context from a dynamic knowledge graph.

Best For

•Teams building conversation-heavy AI agents (chatbots, support) that require precise, long-term memory.
•Enterprises in regulated industries (Healthcare, Finance) that need SOC 2/HIPAA compliance and BYOC/BYOK deployment.
•Developers who need a 'turnkey' context engineering platform rather than building a custom memory stack from scratch with separate databases.

Watch Out For

•The deprecation of the open-source 'Community Edition' may be a dealbreaker for developers prioritizing a free, continuously supported, self-hosted option.
•Need for guaranteed, committed rate limits (only available in the Enterprise Plan).
•Data ingestion (episodes) from diverse, non-chat sources requires custom pipelines, increasing the risk of data errors or incompleteness if not built correctly.
•The deprecation of the Community Edition suggests a shift toward the managed cloud service, potentially limiting the viability of existing self-hosted open-source deployments.

Community Edition (Zep Open Source) was deprecated in April 2025 (according to n8n docs) Conversation-first ingestion requires custom pipelines for non-chat data sources (compared to Graphlit's 30+ connectors) Open Source version requires self-management of Neo4j/FalkorDB/Kuzu and OpenSearch/Neptune infrastructure General memory retrieval from API is best suited for high-level context, and should be complemented with specialized vector/structured databases for certain needs (according to a developer review)

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Zep