Research Engine History Plugin
The reference external-plugin implementation for Research Engine. It contributes
historical correspondence types, epistolary and claim extraction schemas, and two MCP tools:
history.find_missing_letters and history.correspondence_cadence.
Install and approve
python -m pip install marginalia-ai-plugin-history
research-engine plugin audit history
research-engine plugin enable history
Installation only makes the static manifest discoverable. Core does not import the package until the operator approves the exact distribution version, manifest hash, contributions, and permissions. The plugin runs in-process after approval and must be trusted.
This distribution depends only on marginalia-ai-sdk>=0.6,<0.7. Integration environments
install the matching marginalia-ai artifact separately.
See the repository, changelog, and issues. Licensed under Apache-2.0.
1 maintainer
Release files for marginalia-ai-plugin-history 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| marginalia_ai_plugin_history-0.2.0.tar.gz | 18.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| marginalia_ai_plugin_history-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 36.6 kB
Release files / marginalia_ai_plugin_history-0.2.0.tar.gz
| Download URL | marginalia_ai_plugin_history-0.2.0.tar.gz |
|---|---|
| Size | 18.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Yes |
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twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / marginalia_ai_plugin_history-0.2.0-py3-none-any.whl
| Download URL | marginalia_ai_plugin_history-0.2.0-py3-none-any.whl |
|---|---|
| Size | 18.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
0a2997a04d30523fb2cb19a643dcfb55e0d8c0ccbf0da44f944a7edb96db5855
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 18, 2026.
Transparency log
