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.
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.
Graph native short-term, long-term, and reasoning memory to make your claw more powerful and efficient powered by neo4j-agent-memory
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.
AI-native financial intelligence platform for accounting, financial reporting, and investment management. Models your ledger, reports, and portfolios as a knowledge graph that AI agents can query and operate. Fork-ready: GitHub Actions CI/CD deploys the CloudFormation infrastructure to your own AWS account.
The structured context layer for AI agents. Build self-learning specialised agents that are context aware.
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.
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.
Lightweight graph engine for AI graph context, memory, and agent harness with Rust Core.
Open-source organizational memory. Self-hosted. AI-powered. Your code, your data, your brain.
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