BaseMouse vs Zep: Which is Better in 2026?
A comprehensive comparison of BaseMouse and Zep covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose BaseMouse if:
- →You need a broader feature set (8 features vs 6)
- →You need single remote mcp server at one endpoint for every registered tool or shared read/write memory across claude code, cursor, codex, and grok
Choose Zep if:
- →You want more affordable paid plans (from $125/mo)
- →You need temporal context graph tracks facts as they change over time or ingests chat history, business data and user behaviour
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BaseMouse vs Zep: At a Glance
Pricing Comparison: BaseMouse vs Zep
Understanding the pricing differences between BaseMouse and Zep is crucial for making the right choice. Here's how their plans compare side by side.
BaseMouse Pricing
Zep Pricing
💡 Pricing takeaway: Both BaseMouse and Zep offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from BaseMouse and Zep stacks up.
What Makes Each Tool Unique
🔵 Unique to BaseMouse
Features available in BaseMouse but not in Zep:
- ✓Single remote MCP server at one endpoint for every registered tool
- ✓Shared read/write memory across Claude Code, Cursor, Codex, and Grok
- ✓Every answer carries its source, a tamper-evident fingerprint, and recency
- ✓get_context_pack returns an agent-ready bundle with citations
- ✓Version history preserved — nothing silently overwritten, deletions stay on record
- ✓Re-import a folder without creating duplicates, with a failure report
- ✓Public demo corpus browsable without a key
- ✓MIT-licensed self-hostable core
🟣 Unique to Zep
Features available in Zep but not in BaseMouse:
- ✓Temporal context graph tracks facts as they change over time
- ✓Ingests chat history, business data and user behaviour
- ✓Sub-200ms retrieval latency
- ✓Open-source Graphiti core with 20k+ GitHub stars
- ✓Published LoCoMo and LongMemEval benchmark results
- ✓SOC 2 Type II, HIPAA BAA and VPC deployment
Use Case Recommendations
Best for: BaseMouse
BaseMouse gives AI agents one shared, versioned memory across Claude Code, Cursor, Codex, and Grok through a single remote MCP server. The problem it names is familiar to anyone using more than one coding agent: project context ends up trapped per tool — a CLAUDE.md here, a Cursor rules file there — and the whole project gets re-explained to every new agent. BaseMouse replaces that with one corpus every registered tool reads from and writes to, so whatever an agent learns in one tool is available to an agent in another, even a different vendor; only the live chat stays inside each tool. Setup is a folder of documents pointed at the service, which reads them, keeps every version, and labels them for retrieval, with re-imports that do not duplicate and a clear report on any file that fails to import. Retrieval returns the most relevant passages with source, a tamper-evident fingerprint, and recency, ready to drop into a prompt — and a get_context_pack tool returns an agent-shaped bundle with citations. Governance is a first-class concern: every change is recorded, nothing is silently overwritten, and even deletions stay on the record, so you can always answer where an answer came from and what changed since. The model is open core — the engine that imports documents and serves sourced answers is free and MIT-licensed and self-hostable with nothing phoning home, while the paid hosted version handles running, billing, and support.
Ideal use cases:
- •Teams or individuals who need single remote mcp server at one endpoint for every registered tool
- •Teams or individuals who need shared read/write memory across claude code, cursor, codex, and grok
- •Teams or individuals who need every answer carries its source, a tamper-evident fingerprint, and recency
- •Teams or individuals who need get_context_pack returns an agent-ready bundle with citations
- •Anyone focused on mcp workflows
- •Anyone focused on agent-memory workflows
Best for: Zep
Zep is a managed memory layer for AI agents built on temporal context graphs rather than a vector store with a similarity search bolted on. The distinction matters for the failure it addresses: an agent that retrieves the most semantically similar past message will happily surface a fact that was true six months ago and has since been superseded. Zep's graph tracks facts across time, so a superseded fact is recorded as superseded rather than silently competing with the current one, and it ingests chat history, business data and user behaviour into the same structure. The open-source foundation, Graphiti, crossed 20,000 GitHub stars in under twelve months, which gives the approach a public implementation to inspect rather than only a marketing claim. Around the graph sit the Context Lake and the Context Graph Engine, with sub-200ms retrieval quoted as the latency budget — the number that decides whether a memory layer can sit in the request path of a conversational agent at all. The company publishes benchmark results on LoCoMo and LongMemEval, the two standard long-running-agent memory benchmarks, rather than asserting quality. Compliance is SOC 2 Type II with a HIPAA BAA available, and deployment can be Zep's cloud or your own VPC. Self-serve plans are credit-metered with 30-day rollover and auto top-up, and the company offers enterprise terms at emerging-company pricing for funded startups.
Ideal use cases:
- •Teams or individuals who need temporal context graph tracks facts as they change over time
- •Teams or individuals who need ingests chat history, business data and user behaviour
- •Teams or individuals who need sub-200ms retrieval latency
- •Teams or individuals who need open-source graphiti core with 20k+ github stars
- •Anyone focused on agent-memory workflows
- •Anyone focused on knowledge-graph workflows
🤖 Other AI Agent Infrastructure Tools to Consider
BaseMouse and Zep aren't the only options. Here are other popular tools in the same space:
SuperAGI
Open-source autonomous AI agent framework with visual dashboard — 14K GitHub stars
MetaGPT
Multi-agent AI framework simulating software teams — 45K GitHub stars, builds full apps from prompts
Cerebras
Fastest LLM inference powered by the Wafer Scale Engine.
Scale AI
AI data platform for training data and model evaluation.
Roboflow
End-to-end computer vision platform for developers.
Labelbox
Enterprise data labeling platform for ML training datasets.
Is one of these your tool?
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Frequently Asked Questions
Is BaseMouse better than Zep?
It depends on your needs. BaseMouse offers 8 key features including Single remote MCP server at one endpoint for every registered tool and Shared read/write memory across Claude Code, Cursor, Codex, and Grok, while Zep provides 6 features including Temporal context graph tracks facts as they change over time and Ingests chat history, business data and user behaviour. BaseMouse uses a freemium model with a free tier, while Zep is paid with free access available. Choose based on which features and pricing model align with your requirements.
Is BaseMouse cheaper than Zep?
Both tools are similarly priced, starting at Open core: the import-and-serve engine is free and MIT-licensed, self-hostable with no license key and nothing phoning home. A paid hosted version adds running, billing, and support, billed through Stripe; the hosted plan figures are rendered client-side and are not published in the page source.. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use BaseMouse and Zep together?
Yes, many users combine BaseMouse and Zep in their workflow. BaseMouse excels at single remote mcp server at one endpoint for every registered tool, while Zep shines with temporal context graph tracks facts as they change over time. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between BaseMouse and Zep?
While both are ai agent infrastructure tools, BaseMouse emphasizes single remote mcp server at one endpoint for every registered tool, whereas Zep is known for temporal context graph tracks facts as they change over time. The best choice depends on your specific workflow and feature priorities.
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