Metadata-Version: 2.4
Name: episodiq
Version: 0.0.1
Summary: Ambient episodic memory for AI agents. Zero dependencies.
Project-URL: Homepage, https://episodiq.ai
Project-URL: Repository, https://github.com/episodiq/episodiq
Author: Demba N'Doye
License-Expression: MIT
License-File: LICENSE
Keywords: agents,ai,cognitive,episodic,llm,memory
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.10
Description-Content-Type: text/markdown

# Episodiq

**Ambient episodic memory for AI agents. Zero dependencies.**

Every interaction becomes an episode. Every episode leaves a trace.

Episodiq gives AI agents a threshold of awareness: they know *that* past episodes exist without knowing *what* was found. This epistemic gap prevents hallucination and forces grounded retrieval.

**Coming soon.** Star the repo for updates.

## Features (planned)

- Zero runtime dependencies (stdlib only)
- Framework-agnostic (text in, text out)
- Epistemic guard prevents confabulation from episode titles
- Episode-centric memory (not just tasks — conversations, research, moments)
- Single JSON file storage

## License

MIT
