Comparison

Graphiti vs Mastra

On the evidence we track, Mastra leads this comparison with a composite score of 55/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
Graphiti45
Mastra55
Score
Vioscale score
Graphiti45 / 100low · 35%
Mastra55 / 100low · 42%
Pricing
Free tier
Graphiti
Mastra
Model
Graphiticommercial
Price level
Graphitifree
Mastrahigh
Starting price
Graphiti
Mastra$250
Transparent
Graphiti
Mastra
Integrations
Count
Graphiti5
Mastra11
Adoption
Dependent repos
Graphiti0
Mastra0
Github stars
Graphiti30,320
Mastra27,493
Activity
Commits last 30d
Graphiti27
Mastra100
Release
Cadence days
Graphiti4
Mastra4
History
Graphiti20 items
Mastra20 items
License
Spdx
GraphitiApache-2.0
Mastra
Language
Primary
GraphitiPython
Market

Capabilities

Feature-by-feature on the axes that matter for agent memory. “-” means undocumented, not absent.

Capabilities
Architecture model
GraphitiOpen source self hosted
MastraManaged cloud API
Graph based entity relationship extraction
Graphiti
Mastra-
Automatic context window rolling summarization
Graphiti-
Mastra-
Semantic vs episodic event chronological memory
Graphiti
Mastra
Cross session and multi thread user persistence
Graphiti-
Mastra
Memory conflict resolution and fact updating
Graphiti-
Mastra-
Multi tenant user and agent isolation
Graphiti-
Mastra
Native langchain and llamaindex memory classes
Graphiti-
Mastra-
Time decay and recency weighted retrieval
Graphiti-
Mastra-
Zero data retention and pii redaction layer
Graphiti-
Mastra-
SOC2 type ii
Graphiti-
Mastra-
Mit or apache permissive oss license
Graphiti-
Mastra-
Pricing model
GraphitiFree open source
Mastra-

What each one is

The product in its own terms, so the numbers below have context.

Graphiti

An open-source framework that enables AI agents to build and query context graphs with historical awareness. Unlike static knowledge graphs, Graphiti's context graphs preserve how information changes over time and maintain provenance to source data, supporting both semantic and graph-based retrieval across evolving real-world data.

Independently observed

Mastra

Leader

A TypeScript framework that enables developers to build AI agents and applications using language models and tools, featuring built-in memory management, workflow orchestration, and production observability. Supports both cloud deployment and self-hosted deployment anywhere.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Graphiti

Open sourceFree tier
as of verify ↗

Mastra

Leader
from $250/moHybridFree tier

Free tier + pay-as-you-go. Team plan from $250/month. Enterprise custom.

  • StarterFree
    • 100K observability events/month
    • 24 CPU hours/month
    • 10GB data egress/month
    • 15 days data retention
    • Unlimited users, projects, and deployments
  • Teams$250/month + overage charges
    • 1M observability events/month
    • 250 CPU hours/month
    • 100GB data egress/month
    • 6 months data retention
    • Multiple teams
    • +2 more
  • EnterpriseContact sales
    • Custom volume and retention
    • RBAC
    • Audit logs
    • Uptime SLAs
    • Dedicated support engineer
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Graphiti
Mastra
CLI
Graphiti
Mastra
Deployment
Cloud / SaaS
Graphiti
Mastra
Self-hosted
Graphiti
Mastra
On-premise
Graphiti
Mastra

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

In common (2)
  • OpenAI
  • Anthropic

Graphiti

5 total - 3 not shared
  • Neo4j
  • FalkorDB
  • Google Gemini
Independently observed

Mastra

Leader
11 total - 9 not shared
  • Gemini
  • Slack
  • Discord
  • Telegram
  • Nango
  • Ampersand
  • Paragon
  • Zapier
  • Apideck
Independently observed

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.