Aisha
Free
Users seeking culturally grounded AI responses
Every AI session starts from zero — paste the same background, repeat the same preferences, rebuild the same context — until you route your tools through memory infrastructure that persists across sessions. That's the problem Lians AI is built to fix.
Lians AI sits between you and the AI tools you already use — ChatGPT, Claude, and others — storing memories you can inspect, edit, and trace back to source. The vendor describes it as 'historical reconstruction for consequential AI,' which means when a decision goes wrong, you have a receipt, not a shrug. The API and SDK let developers wire memory into their own applications without building the storage layer themselves. Where it strains: the scraped documentation is thin on specifics around memory conflict resolution when the same fact exists in two sessions, and community guidance on edge cases is sparse. Teams with strict compliance requirements around data residency will need to evaluate the self-hosted path carefully before committing.
Bottom line: Lians AI earns its place as memory infrastructure for developers and power users who need auditable, cross-tool recall — but teams expecting fine-grained control over memory conflict resolution or deep compliance documentation will hit unanswered questions fast.
Pricing may have changed since last verified. Check the official site for current plans.
Managed memory across AI tools with control features
View full pricing on lians.ai →
Pricing may have changed since last verified. Check the official site for current plans.
Find your fit
More options in Productivity. Compare pricing, platforms, and features side by side.
Free
Users seeking culturally grounded AI responses
Freemium
Users prioritizing on-device processing and data privacy
Auto-curated by the AIDiveForge recommendation matrix. These skills are predicted to enhance this tool based on category, capability, and domain signals.
Turn a transcript into decisions and assigned actions without inventing commitments.
Why: category partial · caps 0/0 · domain ops
Combine team standup notes while preserving blockers and ownership.
Why: category partial · caps 0/0 · domain ops
Turn a postmortem into an incident runbook with explicit verification gates.
Why: category partial · caps 0/0 · domain ops
Critique draft OKRs for measurable outcomes and controllable scope.
Why: category partial · caps 0/0 · domain ops
Every AI session starts from zero — paste the same background, repeat the same preferences, rebuild the same context — until you route your tools through memory infrastructure that persists across sessions. Lians AI sits between you and the AI tools you already use — ChatGPT, Claude, and others — storing memories you can inspect, edit, and trace back to source. The vendor describes it as historical reconstruction for consequential AI, which means when a decision goes wrong, you have a receipt, not a shrug.
The API and SDK let developers wire memory into their own applications without building the storage layer themselves. It supports cross-tool memory persistence across ChatGPT and Claude. Auditable memory records carry traceable history so teams can identify a bad memory entry, correct it, and prevent the same error from repeating. A self-hosted deployment path is available with open-source SDKs. Pricing starts free with existing assistants and moves to a $10/month managed option on subscription.
Public documentation gives little guidance on memory conflict resolution when two sessions produce contradictory facts. Integration coverage centers on ChatGPT and Claude.
It fits users who need reliable AI recall without full context dumps, developers integrating memory via API or SDK, and teams that require auditable AI decision history. Skip it if your stack includes models outside ChatGPT and Claude or if you need documented behavior for conflicting memories before production use.
Sign in to rate this tool or suggest an edit.