Project Memory
Local-first scoped indexing and embeddings with Cursor integration.
Pricing
Free tier
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
UnverifiedOverview
What is Project Memory?
Project Memory is a local-first tool that provides scoped indexing and embedding capabilities. It integrates with Cursor, making it suitable for developers who need to manage project data locally without relying on cloud services.
Key differentiator
“Project Memory stands out as a local-first solution that provides scoped indexing and embedding capabilities, making it ideal for developers who prioritize on-device data management.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Primary focus on JavaScript with secondary support for Python, lacks official SDKs for other languages like Java or C#
Local indexing and embedding operations can become slow and resource-intensive as dataset size increases
Fit analysis
Who is it for?
✓ Best for
Developers who need a local-first solution for project memory without relying on the cloud.
Teams working in environments with limited or no internet access.
✕ Not a fit for
Projects requiring real-time data synchronization across multiple devices
Use cases where cloud-based services are preferred for scalability and reliability
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Next step
Get Started with Project Memory
Step-by-step setup guide with code examples and common gotchas.