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Product and API guide
Mnemosyne, explained clearly
Mnemosyne helps you compare source artifacts, inspect evidence-backed resonances, and turn a selected idea into a runnable prototype.
1. Add a corpus
Upload code, text, documents, images, audio, or archives. Mnemosyne keeps the workspace local-first and shows parsing limitations when they apply.
2. Run analysis
Choose a reasoning mode and provider. Every run records its provider, model, evidence coverage, and any graceful fallback.
3. Review and synthesize
Inspect evidence, tensions, and next questions before generating or opening a prototype from a resonance.
Provider behavior
- Smart route selects a configured provider, then uses the deterministic local engine when no provider is configured or a provider is unavailable.
- OpenAI and Google Gemini are optional server-side integrations. Browser code never receives their credentials.
- Local engine is deterministic and available without an external provider, making the demo reviewable even during provider capacity events.
Application endpoints
| Endpoint | Purpose |
|---|---|
| POST /api/ingest | Parses supported source files into corpus artifacts. |
| POST /api/analyze | Builds an evidence-aware resonance analysis with provider traceability. |
| POST /api/generate-prototype | Generates a runnable prototype or preserves the deterministic local version. |