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
Metadata
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 | Provenance | Actions |
|---|---|---|---|---|
| marginalia_ai_plugin_history-0.2.0.tar.gz | 18.2 kB | With provenance | Details for marginalia_ai_plugin_history-0.2.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| marginalia_ai_plugin_history-0.2.0-py3-none-any.whl | Python 3 | none | any | Details for marginalia_ai_plugin_history-0.2.0-py3-none-any.whl |
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 |
700b0db9029f5791629445086d7864b8567323b2d0a86a07b01fc5733a3f14ad
|
|
BLAKE2b-256 checksum How to use checksums |
0f93dc5ecac75a1fc540f53234aa17ad2665af3f88c43128e1b32bce4e494e2e
|
| 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 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 |
509a8d629dfccb9df93165b160a23dcc3251ecb359c3bc3b2644bed9b232a702
|
|
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 logSecurity for marginalia-ai-plugin-history 0.2.0
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.
Full provenance
Both files in this release have been uploaded with provenance metadata.
Attestation for marginalia_ai_plugin_history-0.2.0.tar.gz
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 logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
