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Lians AI
Summary
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.
Hosted & API Pricing
The model is free to self-host. These are the creator's hosted/API options.Pricing may have changed since last verified. Check the official site for current plans.
Pricing Plans
Subscription- Price
- $10/month
- Free Tier
- Start free with existing assistants; upgrade for managed memory
Personal
Managed memory across AI tools with control features
- See, correct, delete, export memories
- Monthly, cancel anytime
View full pricing on lians.ai →
Pricing may have changed since last verified. Check the official site for current plans.
Community Performance Report Card
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Pros
Sign in to edit- Cross-tool memory persistence across ChatGPT and Claude, so you stop rebuilding context at the start of every session and the AI you open Tuesday knows what you decided Monday.
- Auditable memory records with traceable history, which means when an AI response goes wrong you can identify the bad memory entry, correct it, and prevent the same error from compounding across future sessions.
- Self-hosted deployment path backed by open-source SDKs, so teams with data residency or compliance requirements keep sensitive context off third-party infrastructure entirely.
- API and SDK access for developers, meaning memory becomes a buildable primitive in your own applications rather than a feature locked inside a single AI product's interface.
- Editable memory entries you can inspect and correct directly, so you stay in control of what the AI believes rather than hoping the model inferred correctly from prior conversation.
Cons
Sign in to edit- The publicly available documentation provides precious little guidance on memory conflict resolution — when two sessions produce contradictory facts about the same subject, teams building production systems have no documented behavior to rely on and will need to run their own tests before shipping.
- Integration coverage, as described on the vendor page, centers on ChatGPT and Claude; teams whose stack includes other models or custom AI deployments face an unverified compatibility question that the API may or may not resolve without additional engineering work.
- Teams that need enterprise-grade audit trails with formal compliance certification — SOC 2, HIPAA, similar — will find the vendor's published security documentation too thin to clear procurement review, and at that point the evaluation shifts to alternatives with dedicated compliance documentation rather than a self-hosted workaround.
About
- Platforms
- Web, API, SDK
- API Available
- Yes
- Self-Hosted
- Yes
- Last Updated
- 2026-08-14T09:08:11.225Z
Best For
Who it's for
- Users needing reliable AI recall without full context dumps
- Developers integrating memory via API or SDK
- Teams requiring auditable AI decision history
What it does well
- Maintain preferences and project context across AI chats
- Audit and correct AI memories with receipts
- Share consistent memory between ChatGPT and Claude
Integrations
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Frequently Asked Questions
- Is Lians AI free?
- Lians AI has a permanent free tier alongside paid upgrades (paid plans from $10/month). You can keep using a baseline version indefinitely without paying.
- Is Lians AI open source?
- Yes. Lians AI is open source.
- Does Lians AI have an API?
- Yes. Lians AI exposes a developer API. See the official documentation at https://lians.ai for details.
- Can I self-host Lians AI?
- Yes. Lians AI supports self-hosting on your own infrastructure.
- What platforms does Lians AI support?
- Lians AI is available on: Web, API, SDK.
Curated lists that include this category
Rebuilding context every session
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.
How it works
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.
Limitations
Public documentation gives little guidance on memory conflict resolution when two sessions produce contradictory facts. Integration coverage centers on ChatGPT and Claude.
Who it is for / who should skip it
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.