Knowledge Graphs

Graph-native memory for AI agents: a knowledge graph built from conversation, via MCP.

An MCP server that provides visual memory and context storage with knowledge graph capabilities

Local knowledge graph memory MCP server for AI assistants.

Project knowledge graph with history-checked belief staleness, changeset proposals, cost reporting

Public registry of code-knowledge graphs for AI agents with schema validation and drift detection.

Stop vibecoding blind. Code graph so your AI stops breaking things across your codebase.

Knowledge Graphs to enable memory persistence, knowledge evolution, explainable interaction.

Indexes codebase into a local knowledge graph with 40+ AI tools and codebase-guard.

Self-hosted memory for AI agents with hybrid search, knowledge graphs, tasks, and document sync.

Code intelligence MCP server: impact analysis, dependency graphs, dead code detection.

Crash-proof LLM pipelines. Resumes from failure without a database.

Search 529K US statute sections. 50 states + USC + CFR. Semantic search, citation graph, MCP.

A label property graph on SQLite/Postgres with multi-ontology routing and a gated MCP server.

Deterministic decision engine with receipts. Define rules in YAML, query a graph, get proof.

Embedded memory for AI agents with SQLite, pgvector, and Neo4j graph search.

Self-hosted memory for agent teams. Bi-temporal replay, deterministic retrieval, audit log.

Cross-project knowledge graph for MCP — map features across mobile, backend, and admin codebases.

Persistent agent memory as a single Go binary: knowledge graph, TUI observability, zero infra.

Biologically-inspired persistent memory engine for Claude Code MCP agents

Local-first, source-grounded memory that survives AI agent sessions.