Context Graph Python Packages

trustgraph-embeddings-hf

Write context once. Run agents anywhere. Own your data and the models.

trustgraph-base

Write context once. Run agents anywhere. Own your data and the models.

trustgraph-cli

Write context once. Run agents anywhere. Own your data and the models.

trustgraph-vertexai

Write context once. Run agents anywhere. Own your data and the models.

trustgraph-flow

Write context once. Run agents anywhere. Own your data and the models.

trustgraph-ocr

Write context once. Run agents anywhere. Own your data and the models.

trustgraph

Write context once. Run agents anywhere. Own your data and the models.

trustgraph-bedrock

Write context once. Run agents anywhere. Own your data and the models.

neo4j-agent-memory

A graph-native memory system for AI agents and context graphs. Store conversations, build knowledge graphs, and let your agents learn from their own reasoning — all backed by Neo4j.

trustgraph-mcp

Write context once. Run agents anywhere. Own your data and the models.

trustgraph-unstructured

Write context once. Run agents anywhere. Own your data and the models.

lerim

Compiles AI agent traces and truns them into reusable context.

create-context-graph

AI agents with graph based reasoning memory, scaffolded in seconds

trellis-ai

Trellis — structured memory and learning for AI agents

trustgraph-parquet

Write context once. Run agents anywhere. Discover the power of holonic context graphs and dramatically reduce your token usage.

tonggraph

A lightweight embedded graph compute database for large sparse graph networks.

agentlearn

A recursive learning framework that gives any AI agent a self-improvement loop with memory

iflow-mcp-trustgraph-ai-trustgraph-mcp

TrustGraph provides a means to run a pipeline of flexible AI processing components in a flexible means to achieve a processing pipeline.