Waiser
Waiser makes AI agents wiser: a deterministic self-improvement engine for OMS-compatible agent memory (grains + CAL). It analyzes an agent's stored history — events, tool results, facts, past recommendations — and produces evidence-cited, auditable recommendations, with optional LLM enrichment.
This release reserves the package name. The engine is under active development by the team behind DejaDB.
1 maintainer
Metadata
1 maintainer
Release files for waiser 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| waiser-0.0.1.tar.gz | 1.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| waiser-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.0 kB
Release files / waiser-0.0.1.tar.gz
| Download URL | waiser-0.0.1.tar.gz |
|---|---|
| Size | 1.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.2.0 CPython/3.11.14
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Release files / waiser-0.0.1-py3-none-any.whl
| Download URL | waiser-0.0.1-py3-none-any.whl |
|---|---|
| Size | 1.6 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/6.2.0 CPython/3.11.14
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