Gives AI tools persistent memory across conversations, code, and projects.
Product memo
For who
AI developers and teams
Solves what
AI context loss by providing persistent memory across tools
- Persistent AI memory
- Cross-tool context sharing
- Indexed conversation history
In their own words
Your AI _forgets_. Conare _remembers_.
Persistent memory for Claude Code, Cursor, and Codex — every decision, preference, and debugging session. Your agent never starts from scratch.
Commercial cues
Model
hybrid
Free tier
Yes
Trial
Available
Pricing Strategy
- • A free tier offers limited memory for developers to test AI context.
- • The Pro tier adds higher limits for memories and deep searches.
Operator context
Operating setup
Founded
Sep 2025
HQ
Poland
Platform
Web app
Audience
Developers
Payments
Stripe
Detected via TrustMRR
Social footprint
Tech stack
Market demand
Conare keyword demand
4 keywords
Market demand is Starter-tier market intelligence.
Derived from this product’s latest SimilarWeb keyword mix — directional demand, not proof.
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Pre Revenue
- Effort
- Solo Buildable
About Conare Expand
Conare addresses a critical friction point for AI developers: the loss of context across different AI tools and projects. It establishes a persistent memory layer, allowing AI agents to recall past decisions, preferences, and debugging sessions.
This ensures agents never start from scratch, enhancing efficiency for users of platforms such as Claude Code, Cursor, and Codex. By indexing conversations and code, Conare helps make AI development workflows faster and more effective, offering a unified memory product for specialized AI development environments.