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Project Memory

Local-first scoped indexing and embeddings with Cursor integration.

Status
Not yet determined
Last checked
Unverified
License
Open source
Pricing
Free tier · from $0
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What it is

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.

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.

When it fits — and when it doesn’t

A good fit 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.

Look elsewhere if

  • Projects requiring real-time data synchronization across multiple devices

  • Use cases where cloud-based services are preferred for scalability and reliability

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited language support beyond JavaScript and Python

    Primary focus on JavaScript with secondary support for Python, lacks official SDKs for other languages like Java or C#

  2. 02

    Performance issues with large datasets

    Local indexing and embedding operations can become slow and resource-intensive as dataset size increases

What it does well

  • Local-first indexing and embeddings

  • Scoped indexing capabilities

  • Integration with Cursor

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

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Set up Project Memory

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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Project Memory — tracked on AI Navigator

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