dsh-rla
Recursive learning agent —— a DeepSeek Harness plugin, not an agent runtime.
This release is a name reservation (
0.0.1). The real plugin ships later; the API published today is a placeholder and will be replaced.
What it will do:
- Create skills from a finished session (success or failure), write them to a catalog
- Improve existing skills by fragment-level patches, gated by a comparison probe — never "the model says it's better"
- Persist lessons only with
cue/lesson/evidence, each expiring and auditable - Retrieve past sessions by semantics (FTS, not embeddings — no surveyed project uses vectors)
- Keep a cross-session model of the user (preferences, landmines, working style) with source + date
Boundary: context-window management is a different project (deepkeel).
This one is about what survives between sessions.
Repository: https://github.com/cedricwyh/dsh-rla
1 maintainer
Metadata
1 maintainer
Release files for dsh-rla 0.0.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| dsh_rla-0.0.1.tar.gz | 2.0 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dsh_rla-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.1 kB
Release files / dsh_rla-0.0.1.tar.gz
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Release files / dsh_rla-0.0.1-py3-none-any.whl
| Download URL | dsh_rla-0.0.1-py3-none-any.whl |
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| Size | 2.1 kB |
| Tags | Python 3 |
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