nocturne-memory
nocturne-memory is NOCTURNE's Memory Palace service and migration package. It
is released in lockstep as a dependency of the public nocturne-harness
distribution.
The service owns the extraction consent boundary at /v1/extractions and
/v1/approval-queue. Pending units use the internal candidate lifecycle
state and are excluded from ordinary memory listing, search, and injection.
Queue decisions are append-only; approval enacts the proposed verdict through
revisioned head changes and typed lineage edges, while denial revision-
tombstones the candidate as rejected.
Injection treats memory room as a versioned share of the active model context window. The share is a ceiling, not a quota: unused room remains available to conversation, while pinned memories always inject and report any overflow in the prepare allocation. Share and threshold join the ordinary replay learner after 100 authentic, hygiene-filtered owner dispositions; every learned generation remains proposed until the owner activates it.
New users should start at the NOCTURNE quickstart
and install nocturne-harness; they do not need to install this package separately.
1 maintainer
Release files for nocturne-memory 0.1.29
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| nocturne_memory-0.1.29.tar.gz | 174.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nocturne_memory-0.1.29-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 402.8 kB
Release files / nocturne_memory-0.1.29.tar.gz
| Download URL | nocturne_memory-0.1.29.tar.gz |
|---|---|
| Size | 174.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / nocturne_memory-0.1.29-py3-none-any.whl
| Download URL | nocturne_memory-0.1.29-py3-none-any.whl |
|---|---|
| Size | 228.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
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