Context Graph for AI Native SDLC

High-performance open-source in-memory graph database for GraphRAG, AI memory, agentic AI, and real-time graph analytics. Cypher-compatible, built in C++.

The deterministic context engineering platform for open source AI. Connect open models and ontologies with context graph harnesses to build explainable, reliable agents.

Lakehouse native graph engine with git-style workflows

AI agents with graph based reasoning memory, scaffolded in seconds

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.

Meteor extracts structured context from across your systems and delivers it to power your organization's context graph and AI agents.

Compiles AI agent traces and truns them into reusable context.

Compass is a context engine that builds a knowledge graph of your organization's metadata, capturing entities, relationships, and lineage across systems and time, making it discoverable and queryable for both humans and AI agents.

This is the code for the paper 'RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network'.

privacy-first context graph engine for AI agents and human teams.

Graph native short-term, long-term, and reasoning memory to make your claw more powerful and efficient powered by neo4j-agent-memory

An open-source Python SDK for analyzing, evaluating, and curating agent traces stored in BigQuery. Built on top of the BigQuery Agent Analytics, it provides a consumption-layer toolkit for agent observability, analysis, evaluation, and advanced capabilities like context graph at scale.

A pure-Python structured memory benchmark for multi-agent LLM systems — context graph vs vector RAG vs raw history dump, five scenarios, 18 graded queries, zero API calls.

RoboSystems is a financial intelligence platform that unifies structured data, document search, and AI memory to transform complex financial data into actionable intelligence. Fork-ready with full GitHub Actions CI/CD for deploying CloudFormation infrastructure to your AWS account.

Many-agent, quality-calibrated orchestrator for Kimi Code with 115 vendored official skill packages — a first-class agentic backbone (live ContextGraph, explicit state machine, forward-only rollback) over a deterministic 6-lens verification harness with pure pass/fail gates and human-gated output. No LLM ever computes pass/fail.

The context graph for agentic GTM teams. Unify the data scattered across your GTM tools into one identity-resolved account any agent reads in a single call.

Lightweight graph engine for AI graph context, memory, and agent harness with Rust Core.

Vellis — open-source context graph engine for AI agents: typed, local-first memory with explicit schema, validated change, deterministic query, migration, snapshots, replay, and audit. MCP-native. Apache-2.0.

A bitemporal, graph-backed memory system for AI coding agents.