LangMem vs Zep
On the evidence we track, Zep leads this comparison with a composite score of 58/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for agent memory. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
LangMem
LangMem provides tools for AI agents to extract important information from conversations, maintain long-term memory across sessions, and continuously improve their behavior. It offers native integration with LangGraph and works with any storage backend.
Zep
LeaderCombines data, documents, and conversation history from across your organization into structured knowledge graphs with access controls, allowing AI agents to retrieve the specific information they need for each task.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Zep
LeaderFrom $125/month. Free tier with 10,000 credits/month.
- FreeFree
- 10,000 credits per month
- 2 projects
- 1 Memory MCP Server seat
- 5 custom entity & edge types
- Variable rate limits
- +1 more
- Flex$125/month with 50,000 credits, then $25 per 10,000 credits
- 50,000 credits included
- Auto top-up at 20%, 30-day rollover
- 600 projects
- 5 Memory MCP Server seats
- 10 custom entity & edge types
- +2 more
- Flex Plus$375/month with 200,000 credits, then $75 per 40,000 credits
- 200,000 credits included
- Auto top-up at 20%, 60-day rollover
- 1,000 projects
- 15 Memory MCP Server seats
- 20 custom entity & edge types
- +4 more
- EnterpriseContact sales
- Custom credits with negotiated rates
- Guaranteed rate limits with SLA
- Unlimited projects
- Custom Memory MCP Server seats
- SOC 2 Type II and HIPAA BAA
- +2 more
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
LangMem
- LangGraph
- GitHub (repository hosting)
Zep
Leader- Claude
- Cursor
- OpenAI
- Azure OpenAI
- Google Gemini
- Anthropic
- Neo4j
- FalkorDB
- Amazon Neptune
LangMem or Zep: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.