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mkdocs.yml
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76 lines (66 loc) · 2.11 KB
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site_name: Memlayer Documentation
site_url: https://divagr18.github.io/memlayer
theme:
name: material
palette:
- scheme: slate
primary: black
accent: blue
toggle:
icon: material/weather-sunny
name: Switch to light mode
# Light mode
- scheme: default
primary: black
accent: blue
toggle:
icon: material/weather-night
name: Switch to dark mode
features:
- navigation.sections
- navigation.expand
- navigation.indexes
- search.suggest
- search.highlight
meta:
- name: title
content: Memlayer – The plug-and-play memory layer for smart, contextual agents
- name: description
content: Memlayer is an open-source memory layer for local LLMs and agents — fast, persistent, embedding-based long-term memory with easy Python API.
- name: keywords
content: memlayer, llm memory, vector store, agent memory, knowledge graph, embeddings, open source
- property: "og:title"
content: Memlayer – Memory layer for LLMs and agents
- property: "og:description"
content: Persistent long-term memory, multi-tier retrieval, noise-aware gating, and <100ms search.
docs_dir: docs
nav:
- Home: index.md
- Overview:
- API Reference: API_REFERENCE.md
- Basics:
- Quickstart: basics/quickstart.md
- Overview: basics/overview.md
- Operation Modes: basics/operation_modes.md
- Streaming: basics/streaming.md
- Providers:
- Provider Overview: providers/README.md
- OpenAI: providers/openai.md
- Claude: providers/claude.md
- Gemini: providers/gemini.md
- Ollama: providers/ollama.md
- LMStudio: providers/lmstudio.md
- Services:
- Consolidation: services/consolidation.md
- Curation: services/curation.md
- Storage:
- Chroma: storage/chroma.md
- NetworkX Graph: storage/networkx.md
- Tuning:
- Salience Threshold: tuning/salience_threshold.md
- Intervals: tuning/intervals.md
- Operation Modes (advanced): tuning/operation_mode.md
extra:
analytics:
provider: google
property: G-BP0L927VBV