kestrel-feature-story-archive
Schema-rich agent life-story archive for Kestrel Sovereign.
An agent maintains a queryable, semantic archive of its life-story:
interactions, observations, and reflections, organized as a timeline
with vector search and contradiction detection. This is a reusable
framework capability — a sibling package alongside
kestrel-feature-healthcare / -visual / -reflection / -observability
— not a host-product feature. Any Kestrel host can consume it.
Status
Bootstrap skeleton (FEAT-1). Business logic lands in FEAT-2..5:
- FEAT-2 — entity models (Story, StoryChunk, StoryEvent) + Alembic migrations
- FEAT-3 — TimelineBuilder (session → Story/StoryEvent/StoryChunk extractor)
- FEAT-4 — VectorSearch integration for semantic story retrieval
- FEAT-5 — sharing, replay, export, contradiction detection services
This package migrates the 8,240-LOC Story Archive stack from Frinz into
a reusable feature package so other consumers (RemoteCares/RPM Azure
pilot) can leverage it. Records are scoped to agent_did (the canonical
owner identity per the Agent Identity Contract).
Installation
uv pip install kestrel-feature-story-archive
The package registers StoryFeature through the
kestrel_sovereign.features entry-point group and registers its entity
models via the kestrel_entities.models entry-point for Alembic
autogen.
Development
uv sync --extra test
uv run --extra test pytest
Architecture
Records are agent_did-scoped and persisted via kestrel-feature-entities
ORM layer. The feature consumes the DatabaseBackend from the host and
leverages the Timeline and VectorSearch protocols (kestrel-sovereign-sdk
v0.16.0+).
No product-specific terminology anywhere in this package — vocabulary is
agent / agent_did / owner throughout. This is a framework capability.
1 maintainer
Metadata
1 maintainer
Release files for kestrel-feature-story-archive 0.3.4
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| kestrel_feature_story_archive-0.3.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 173.3 kB
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