AI Tool

Qarinah Review

Qarinah provides a durable and cited project memory for coding agents, allowing them to continue working from verified context instead of starting from scratch.

shipped Aug 9, 2026agentsfreemium

Domain rating6

agentswriting

Why it matters

1Offers a freemium pricing model with a Free tier and a Pro tier at $10/month.

2Provides local, evidence-linked project memory for coding agents.

3Supports multiple coding agents and maintains a compact project memory alongside the code.

4Includes an API for integration, with documentation available at https://qarinah.io/docs/api/.

About Qarinah

Business Model

Subscription SaaS

Usage Pricing

$10/project per project

Free Credits

1 free project month

Headquarters

Unknown, Unknown

Team Size

Small

Funding

Bootstrapped

Platforms

Web, CLI, API

Target Audience

Developers, programming teams

Pricing Plans

Free

• Basic features
• Single project support

Pro

$10/mo

• Advanced features
• Multi-project support
• Collaboration tools

Cost Examples

• Set up a project: $10 for additional features

Leadership

Ajnas N BFounder

API Docs GitHubOpen Source

Specs

API Docs

View Documentation →

GitHub

View Repository →

API Available

Yes, public API

overview

What is Qarinah?

Qarinah is a project memory tool developed by Ajnas N B that enables coding agents and developers to maintain durable and cited project memory. It allows coding agents to continue working from verified context instead of starting from scratch, supporting multi-agent handoffs and managing context in large monorepos.

features

Key Features of Qarinah

Qarinah is designed with several core features to enhance the productivity and reliability of AI coding agents, focusing on context management and traceability.

Durable project memory: Ensures long-term retention of project context for coding agents.
Cross-agent compatibility: Supports integration and handoffs between multiple coding agents.
Context compression: Compiles compact, cited context packs to reduce repeated input context.
Evidence tracking: Maintains a verifiable trail of agent actions and decisions.
Multi-format exports: Allows project memory to be exported in various formats.
Local, evidence-linked project memory: Operates locally, linking context directly to evidence.
API available: Provides an API for programmatic access and integration with other tools.
Open-source component: Includes an open-source component, available on GitHub at https://github.com/AjnasNB/qarinah.

use cases

Who Should Use Qarinah?

Qarinah is primarily targeted at developers and programming teams utilizing AI coding agents, offering solutions for complex software development workflows.

Coding agents: For maintaining persistent, verifiable project memory across tasks.
Developers building with AI agents: To provide local, evidence-linked project memory for their agents.
Software project development teams: For managing context in large monorepos and supporting multi-agent handoffs.
Teams requiring trust-policy and provenance review: To enable auditing of agent actions and decisions.

how to use

How to Use Qarinah

Qarinah can be integrated into existing development workflows to provide persistent memory for AI coding agents. Users can start by setting up a project and configuring their agents.

1Access the Qarinah platform via Web or CLI.
2Set up a new project to begin storing context.
3Integrate Qarinah with coding agents such as Codex, Claude Code, or Cursor.
4Utilize the API (https://qarinah.io/docs/api/) for custom integrations and advanced control.
5Leverage context compression to optimize input for agents.
6Review evidence tracking for provenance and trust policy compliance.

pricing

Qarinah Pricing & Plans

Qarinah operates on a freemium model, offering a free tier for basic use and a Pro tier for enhanced features and capabilities. Usage pricing applies per project for additional features.

Free: Includes 1 free project month, offering core features without cost.
Pro: $10/month, providing access to additional features and capabilities.
Usage Pricing: $10/project per project for additional features beyond the free tier.

Pros

+Provides durable and cited project memory, reducing redundant work for coding agents.
+Supports multiple coding agents and facilitates multi-agent handoffs.
+Offers context compression, optimizing input for agents and reducing repeated context.
+Includes evidence tracking, enabling trust-policy and provenance review for agent actions.
+Features an API for integration with existing development workflows and tools.
+Operates with a freemium model, including a free tier for initial use.

Cons

−The pricing model includes usage-based costs ($10/project per project) which could accumulate for multiple projects.
−Specific details on the extent of 'multi-format exports' are not extensively detailed.
−The tool's primary focus is on coding agents, potentially limiting its applicability for non-coding AI agent tasks.
−As a small team and bootstrapped project, the pace of new feature development or extensive support might be slower compared to larger, funded competitors.

Similar Tools

Qarinah vs Competitors

Qarinah distinguishes itself in the AI agent memory landscape by focusing on durable, cited project memory specifically for coding agents, offering a more integrated solution for code-centric context management.

Cognee↗

Builds a self-hosted knowledge graph from unstructured data, enabling agents to reason over relationships and maintain persistent long-term memory across sessions.

Cognee focuses on building a knowledge graph for memory, which can be powerful for relational reasoning. Qarinah's direct integration with coding agents for 'cited project memory' might offer a more out-of-the-box solution for code-specific context, while Cognee requires more setup for that specific use case.

See every Qarinah alternative, compared→

Related AI Tools

Other tools in this category, matched by shared tags

AI Taverns TryCVForge HyperMeme AI Sunoi Maya AI Osseus

Visit Qarinah↗

Connect

⌘

GitHubgithub.com/AjnasNB/qarinah