AI memory that stays
on your machine.
VeritasMemoria is a structured, auditable memory layer for AI-assisted workflows, built on a geometry-grounded knowledge graph that separates durable governance from active work. Every record is cryptographically signed and hash-chained. No cloud. No accounts. No telemetry.
Built different by design
Most memory systems trade transparency for convenience. VM trades neither — knowledge is organized by epistemic role and maturity, governed by explicit rules, and every change leaves a verifiable trace.
Local-First
All data stays on the machine running it. Nothing is sent to any server — not even to check for updates. Your memories are yours.
Tamper-Evident
Records are cryptographically signed and chained into a Merkle-verifiable audit trail. Retired memories move to an append-only archive rather than disappearing — you can always trace what changed, when, and why.
Human-in-the-Loop
The system cannot commit or retire memories without passing configurable oversight gates. You stay in control of what gets kept.
LLM-Agnostic
Works with OpenAI, Anthropic, Ollama, or any OpenAI-compatible endpoint. Runs fully offline in copy-paste mode with no LLM required.
Semantic Retrieval
Hybrid search combining dense vector embeddings and keyword indexing. Finds the right memory even when you don't remember exactly how you phrased it.
Transparent Storage
SQLite by default — a single file you can inspect, back up, or move. No opaque binary formats. Your data is always accessible without VM.
Isolated Matters, Shared Governance
Each project, case, or workstream lives in its own isolated space. Nothing crosses between them directly — shared policy and oversight live in one governed layer that every workstream defers to.
Regulatory-Grounded Permissions
Every action an agent can take is checked against layered permission rules tied to domain-specific compliance concerns — legal, medical, or financial — so higher-level policy can only restrict, never expand, what's allowed.
Simple architecture, serious guarantees
Under the hood, knowledge is organized by role and maturity rather than dumped into one flat index — governance stays stable while active work and evidence can shift, and contested information is treated differently from settled information.
You write a memory
Paste text, upload a document, or let an agent push context. VM assigns it to working memory.
VM gates and signs it
Coherence and oversight checks run. On approval the record is HMAC-signed and appended to the hash chain.
Retrieve it later
Semantic and keyword search surface the right context instantly. Pass it to any LLM or read it yourself.
Request beta access
VeritasMemoria is currently in private beta and isn't publicly available yet. Tell us a bit about your use case and we'll follow up by email.
Requests are sent directly to jessica@templetsolutions.com. We typically respond within a few business days.
Works with what you already use
Switch providers in a single line of config. Or skip the LLM entirely and run in copy-paste mode.
Your data. Your machine. Your call.
VeritasMemoria ships blank and learns only what you explicitly give it. No defaults phoning home. No model training on your memories.