Imprint
Persistent memory for AI agents — cross-app, cross-device, bi-temporal.
Imprint gives your AI agents a persistent memory that works across every platform (Claude Code, Cursor, VS Code, and any MCP client) and every device (via Git sync).
Status
Under active development. Stay tuned.
Features (coming soon)
- Event-Sourced architecture — append-only JSONL stream as source of truth
- Bi-temporal data model — tracks when facts are true AND when the system learned them
- MCP interface — works with any MCP-compatible AI tool
- Cross-device sync — Git-based, conflict-free synchronization
- Online clustering — automatic topic discovery without graph databases
- Benchmark-driven — targeting ≥90% on LoCoMo, ≥80% on LongMemEval
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for imprint-ai 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| imprint_ai-0.0.1.tar.gz | 1.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| imprint_ai-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.9 kB
Release files / imprint_ai-0.0.1.tar.gz
| Download URL | imprint_ai-0.0.1.tar.gz |
|---|---|
| Size | 1.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/6.2.0 CPython/3.13.11
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Release files / imprint_ai-0.0.1-py3-none-any.whl
| Download URL | imprint_ai-0.0.1-py3-none-any.whl |
|---|---|
| Size | 2.0 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.11
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