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Documentation Index

Fetch the complete documentation index at: https://mneno.mintlify.app/llms.txt

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Mneno is a Python SDK for developers building copilots, support agents, internal AI tools, and long-running AI applications. It is not just a memory store. Mneno is an anti-context-rot memory runtime: it keeps context useful, compact, explainable, and verifiable as an application runs over time.

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Why Mneno?

Long-running AI systems accumulate stale facts, duplicated notes, noisy transcripts, and vague summaries. That context eventually makes retrieval worse, not better. Mneno is built around scoring, compaction, and explainable diffs so developers can see what memory was kept, merged, discarded, and why.

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Key Features

  • Memory Scoring: Rank memories by recency, relevance, importance, and freshness signals.
  • Explainable Retrieval: Search returns ranked results with score components and reasons.
  • Auto-Compaction: Preserve key claims when context gets too large or noisy.
  • Context Building: Build deterministic context packages for prompt injection within a token budget.
  • Persistent Storage: Support for in-memory, JSON file, and SQLite storage.
  • Provider Agnostic: Protocol-based integration for embeddings, LLMs, and rerankers.

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Getting Started

Quickstart

Get Mneno up and running in minutes.

Core Concepts

Learn how Mneno handles memory and context.