Available worldwide · Popular in: US
What is Mastra?
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.
Mastra pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
Free tier + pay-as-you-go. Team plan from $250/month. Enterprise custom.
Starter
FreeFree tier with monthly allowances for testing and development
- users
- unlimited
- projects
- unlimited
- cpu_hours
- 24/mo
- data_egress
- 10GB/mo
- deployments
- unlimited
- data_retention
- 15 days
- observability_events
- 100k/mo
- 100K observability events/month
- 24 CPU hours/month
- 10GB data egress/month
- 15 days data retention
- Unlimited users, projects, and deployments
Teams
For growing teams with higher allowances and production features
- cpu_hours
- 250/mo
- data_egress
- 100GB/mo
- data_retention
- 6 months
- observability_events
- 1M/mo
- 1M observability events/month
- 250 CPU hours/month
- 100GB data egress/month
- 6 months data retention
- Multiple teams
- SSO
- SOC 2 documentation
Enterprise
Contact salesFor teams at scale with custom pricing and dedicated support
- Custom volume and retention
- RBAC
- Audit logs
- Uptime SLAs
- Dedicated support engineer
Add-ons
- Server Always-On$100/mo
What Mastra does
The capabilities that matter for agent memory, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Architecture model
- Managed cloud API
- Graph based entity relationship extraction
- -
- Automatic context window rolling summarization
- -
- Semantic vs episodic event chronological memory
- ✓
- Cross session and multi thread user persistence
- ✓
- Memory conflict resolution and fact updating
- -
- Multi tenant user and agent isolation
- ✓
- Native langchain and llamaindex memory classes
- -
- Time decay and recency weighted retrieval
- -
- Zero data retention and pii redaction layer
- -
- SOC2 type ii
- -
- Mit or apache permissive oss license
- -
- Pricing model
- -
Platform & deployment
Independently observed- CLI
- Web
- Cloud / SaaS
- Self-hosted
Integrations (11)
Independently observed- OpenAI
- Anthropic
- Gemini
- Slack
- Discord
- Telegram
- Nango
- Ampersand
- Paragon
- Zapier
- Apideck
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
Mastra alternatives
Other agent memory we track, ranked by the same independent score.
- CogneeOpen-source AI memory platform that builds knowledge graphs to help agents retrieve relevant context across sessionslow · 37%
- ZepTemporal knowledge graph system for AI agent memorymedium · 55%
- Supermemorylow · 42%
- Memarylow · 27%
- Mem0A persistent memory layer that enables AI agents to retain and learn from interactions across sessions and toolsmedium · 54%
- LangMemlow · 31%
Compare Mastra
Side by side against other agent memory, attribute by attribute, with a source on every value.
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Mastra, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Pricing transparency | 100 | 0.08 | 8.4 | ✓ |
| Development activity | 63 | 0.09 | 5.9 | ✓ |
| Release cadence | 98 | 0.05 | 5.1 | ✓ |
| Capabilities | 58 | 0.08 | 4.9 | ✓ |
| Security posture | 45 | 0.07 | 3.3 | ✓ |
| Integrations | 31 | 0.09 | 2.9 | ✓ |
| Stars | 84 | 0.03 | 2.2 | ✓ |
| Price level | 25 | 0.05 | 1.3 | ✓ |
| Reliability | 0 | 0.07 | 0.0 | - |
| Dependent projects | 0 | 0.06 | 0.0 | ✓ |
| Package downloads | 0 | 0.14 | 0.0 | - |
| Security score | 0 | 0.04 | 0.0 | - |
| Developer Q&A activity | 0 | 0.06 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 100 | mediumsource · 2026-08-26 · 65% |
Adoption
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Architecture model: managed_cloud_api · Multi tenant user and agent isolation: Yes · Cross session and multi thread user persistence: Yes · Semantic vs episodic event chronological memory: Yes | mediumsource · 2026-08-21 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 11 | mediumsource · 2026-08-21 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | TypeScript | highsource · 2026-08-26 · 90% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | HqCountry: US · PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-08-21 · 75% |