Compost FAQs

Question 1

Does Compost leverage Artificial Intelligence?

Accepted Answer

Yes, Compost uses local LLMs (via Ollama by default) for advanced capabilities like synthesizing answers from your knowledge base, extracting structured facts, and providing multi-factor hybrid search, all while maintaining data privacy.

Question 2

How does Compost manage information recall and ranking?

Accepted Answer

Compost uses a unique decay-based recall and time-aware ranking system. Facts are ranked based on importance, temporal decay (how recently reinforced), and access frequency, mimicking biological memory to prioritize relevant knowledge.

Question 3

What is Compost?

Accepted Answer

Compost is a self-evolving, local-first personal knowledge base designed to ingest markdown, code context, and AI tool events. It organizes this information into a structured memory layer with intelligent search and LLM-powered synthesis.

Question 4

What are the benefits of Compost's 'local-first' approach?

Accepted Answer

Being local-first, Compost stores all your data on your machine using SQLite and LanceDB. This ensures maximum privacy, enables zero-cost LLM operations without cloud API dependencies, and gives you full control over your personal knowledge.

Question 5

What types of data can Compost ingest?

Accepted Answer

Compost passively ingests a variety of sources, including local files (like markdown), web URLs, and events from AI tools such as Claude Code. It extracts structured facts to build your knowledge base.

Compost

Compost

주요 기능

사용 사례

주요 기능

사용 사례