mari-components · 0.1.0.dev0

Mari documentation

Choose a system boundary

Area	What it covers
Ingest	Documents, multimodal regions, code structure, polling/streaming connectors, synchronization, parsers
Retrieve	Lexical, dense, multi-vector, approximate, contradiction, graph, adaptive, and lifecycle retrieval
Govern	Evidence, trust-gated writes, source conflicts, retention, freshness, verification
Memory	Admission, mutation, scopes, promotion, segmentation, salience, organization, consolidation
Graphs	Semantic schemas, constraints, resolution, temporal facts, propagation, communities, projections
Agents	Trajectories, procedure mining, regression gates, reviewed reuse
Platform	Portable bundles, living views, artifact lineage, stores, pipelines, task evaluation, compilation

Mari is a framework-neutral Python library of composable tools for extracting, validating, linking, retrieving, comparing, and evaluating knowledge from changing source material. It does not prescribe a knowledge graph, ontology, storage system, construction pipeline, agent framework, or model. Operations accept caller-owned values and return immutable candidates, scores, plans, reports, and traces.

Current — importable from mari_components

How to use these docs

Each feature page describes importable code in mari_components. Research-derived mechanisms link evidence next to the explanation; application-injected model calls, persistence boundaries, and failure behavior are identified explicitly.

Package namingmari-components is the distribution. Public imports use mari_components.