AI Tool

NeuraKeep Review

NeuraKeep provides a local-first memory layer for AI agents, enabling them to manage project notes, sessions, PDFs, and chats while retaining cited memory.

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agents

Why it matters

1Offers a Free Core tier at $0.

2Provides Personal Hosted plan at $15/month and Pro Builder at $29/month.

3Ensures every durable claim can trace back to its raw source for enhanced reliability.

4Supports both web and local application platforms.

About NeuraKeep

Business Model

Subscription SaaS

Platforms

Web, Local app

Target Audience

AI developers and agents needing memory management solutions.

Pricing Plans

Free Core

• Local app, CLI, and SQLite vault
• Local MCP server
• Manual imports and proposal review
• Graph, search, citations, and failure memory

Personal Hosted

$15/mo

• Hosted private memory vault
• Remote MCP endpoint
• Encrypted backups and expiring agent grants
• Guided imports and hosted search

Pro Builder

$29/mo

• Higher import and storage limits
• PDF/OCR-heavy workflows
• Advanced graph and saved views
• Priority support

Team

$39/user/mo

• Shared team spaces
• Roles, permissions, and audit logs
• Team proposal review
• Shared sources and saved search views

Managed / Enterprise

Custom

• Setup package from $500
• SAML/OIDC SSO and SCIM provisioning
• Sensitivity, DLP, and audit controls
• Private deploy or implementation support

GitHubOpen Source

Screenshots

overview

What is NeuraKeep?

NeuraKeep is a local-first, AI-native memory system tool that enables AI agents and developers building AI stacks to manage project notes, sessions, PDFs, and chats effectively. It ensures that knowledge stored by AI agents is cited and sourced, requiring human approval for AI-generated knowledge to become durable, thereby enhancing reliability and governance.

features

Key Features of NeuraKeep

NeuraKeep integrates several features designed to provide a robust and verifiable memory layer for AI agents. These capabilities focus on data integrity, accessibility, and control within an AI-driven workflow.

Local-first memory management for enhanced data control.
Cited sources for every memory claim, ensuring traceability.
Cross-tool functionality to support various AI agent applications.
Governance mechanisms built directly into memory management.
Strong encryption protocols for hosted memory solutions.
Ability to retain cited memory, linking claims to raw sources.
Ensures every durable claim can trace back to its raw source.

use cases

Who Should Use NeuraKeep?

NeuraKeep is primarily designed for AI agents, developers, and teams that require a structured, verifiable, and durable memory system for their AI applications. Its functionalities address critical needs in knowledge management and data governance within AI ecosystems.

AI agents requiring durable long-term memory for complex tasks.
Developers building AI stacks who need to ensure knowledge stored by agents is cited and sourced.
Teams developing AI solutions that require human approval for AI-generated knowledge to become durable.
Organizations seeking an AI-native knowledge base for their agents.
Teams needing to manage access control for AI agent memory across projects.

how to use

How to Use NeuraKeep

NeuraKeep provides a framework for integrating a local-first memory layer into AI agent workflows. Users can begin by setting up their memory environment and configuring agents to utilize NeuraKeep for knowledge retention and retrieval.

1Install the NeuraKeep local application or access the web platform.
2Configure AI agents to store project notes, sessions, PDFs, and chats within NeuraKeep.
3Utilize the cited memory feature to ensure all durable claims are linked to their raw sources.
4Implement human approval workflows for AI-generated knowledge to become durable.
5Manage access controls for different AI agents and teams within the NeuraKeep environment.

pricing

NeuraKeep Pricing & Plans

NeuraKeep offers a tiered pricing structure, including a free option and several paid plans designed for individuals, builders, and teams. Each tier provides varying levels of features and support.

Free Core: $0 – Includes basic local-first memory management.
Personal Hosted: $15/month – Offers hosted memory solutions for individual users.
Pro Builder: $29/month – Geared towards developers with advanced features.
Team: $39/user/month – Designed for collaborative teams requiring shared memory and governance.
Managed / Enterprise: Custom pricing – Tailored solutions for large organizations with specific requirements.

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Pros

+Provides a local-first memory layer, enhancing data privacy and control.
+Ensures every durable claim is cited and traceable to its raw source, improving reliability.
+Integrates governance mechanisms directly into memory management for AI agents.
+Offers a free tier ('Free Core') for basic memory management.
+Supports cross-tool functionality for diverse AI agent applications.
+Requires human approval for AI-generated knowledge to become durable, adding a layer of oversight.

Cons

−API is not available, which may limit integration options for some developers.
−Pricing for team and enterprise tiers is per user or custom, potentially increasing costs for larger deployments.
−Requires setup of a local application for the local-first memory feature, adding an initial configuration step.
−The concept of 'cited memory' and 'governance' may require a learning curve for new users unfamiliar with these AI agent paradigms.

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