Encrypted at rest. Immutable, hash-chained audit trails. Contradiction detection across every session. Velixar is the memory layer for AI that has to answer to a regulator — not just a user.
Free tier, no card. Or start from your terminal: npm i velixar · pip install velixar
Vector stores retrieve. Memory libraries persist. Neither was built to be audited. Velixar treats every memory as a governed record from the moment it's written.
AES-256-GCM envelope encryption on every memory. Multi-tenant workspace isolation with role-based access — members, admins, and agents each see exactly what policy allows.
Every write, recall, and change is hash-chained and timestamped. Export the full trail for a regulator, a customer audit, or an internal review — on demand.
Memories link forward and backward in time. When new information conflicts with what the system believed before, Velixar surfaces the contradiction instead of silently overwriting it.
| Capability | Vector DB | RAG pipeline | Memory library | Velixar |
|---|---|---|---|---|
| Semantic recall | ✓ | ✓ | ✓ | ✓ |
| Persistent across sessions | — | — | ✓ | ✓ |
| Encryption at rest, per-memory | — | — | — | ✓ |
| Immutable, exportable audit trail | — | — | — | ✓ |
| Identity model & belief tracking | — | — | — | ✓ |
| Contradiction detection | — | — | — | ✓ |
| Role-based access for compliance | — | — | — | ✓ |
Open-source SDKs and an MCP server that drops into Claude Desktop, Cursor, Windsurf, or any MCP host. Thin clients, fully public — the governed engine stays server-side.
from velixar import Velixar v = Velixar(api_key="vlx_...") v.store("Client risk profile moved to conservative") results = v.search("risk profile", limit=5) # every call above is already in the audit trail
import Velixar from 'velixar'; const v = new Velixar({ apiKey: 'vlx_...' }); const { id } = await v.store('User prefers dark mode'); const { memories } = await v.search('preferences'); // every call above is already in the audit trail
// Claude Desktop / Cursor — mcpServers config { "mcpServers": { "velixar": { "command": "npx", "args": ["-y", "velixar-mcp-server"], "env": { "VELIXAR_API_KEY": "vlx_..." } } } }
In finance, memory is a compliance requirement. Velixar gives AI systems an immutable, timestamped record of every interaction, recommendation, and rationale — ready for review on demand.
Explore Velixar Finance →Every learner gets a persistent, private profile — what they know, where they struggle, how they learn best — with access controls a district can approve.
Explore Velixar Education →A proper memory layer — identity, temporal chains, cognitive signals — in three lines of code. Plugs into any LLM or agent framework.
Explore Velixar Developer →Talk to us about governed memory for your regulated workload — or mint an API key and make your first audited call in under a minute.