Knowledge Graph Memory Engine for OpenClaw — with Personalized PageRank, community detection, and vector dedup
Local-first graph memory CLI for AI agents
Vocabulary-driven graph memory for AI agents
Lattice AI Workspace OS for local-first graph, memory, agent, workflow, and skill operations
Provider-neutral graph memory primitives for TekMemo.
Multi-language code graph memory system for LLMs
Persistent graph memory for AI coding agents
Domain-agnostic knowledge graph memory for AI agents. Zero-config, local-first, SQLite-powered. Works as OpenClaw skill (CLI) or plugin (auto-hook).
Autonomous AI coding agent with knowledge graph memory, DAG swarm orchestration, deployment pipelines, service health monitoring, and adaptive resource management
Lightweight AI agent orchestrator with Skill Graph, Memory, Consensus, and MCP
MCP server for semantic graph memory from markdown files
Memento MCP: Knowledge graph memory system for LLMs
Colony's intelligence sidecar —graph memory, autonomy loop, context assembly, safety pipeline — mountable into OpenClaw, Hermes, and other agent harnesses via the /v1/host API.
Knowledge Graph Memory Server with PostgreSQL storage
Knowledge-graph memory server for AI tools via MCP
Provider-neutral agent runtime for coding workflows. Verified DAG execution with evidence gates, worktree isolation, and local graph memory.
Relationship-aware knowledge graph memory
Graphiti temporal knowledge graph memory for n8n AI agents
GraphZep: A temporal knowledge graph memory system for AI agents based on the Zep paper
Graph memory for AI agents — context engine for OpenClaw + MCP server for Claude Code/Claude.ai
Core logic for Knowledge Graph memory management
CLI for three-layer technical knowledge graph memory system
MCP Server with SQLite-backed knowledge graph memory
Project-local knowledge-graph memory MCP server for AI context isolation.
Ratatui-based TUI dashboard with real-time metrics for Zeph
AINL graph-memory substrate - agent memory as execution graph
AINL unified-graph orchestration: load/validate memory artifacts, compile turn context, minimal graph walk, extraction scheduling, host TurnHooks, and optional Tokio run_turn_async (feature async; spawn_blocking + Arc<std::sync::Mutex<GraphMemory>>).
OpenCode-first graph memory and local context runtime for coding agents
A high-performance Rust-native CLI coding agent
Cersei: A modular Rust SDK for building coding agents
Agent builder, agentic loop, streaming, and reporters for the Cersei SDK
Provider-agnostic text embeddings with a pluggable vector index for the Cersei SDK
Hook/middleware system for the Cersei SDK
LSP client for the Cersei coding agent SDK
MCP (Model Context Protocol) client for the Cersei SDK
Memory trait and backends for the Cersei SDK
An experiment in graph databases, with Ruby...
Ruby bindings for the Lora in-memory graph database. Exposes the embedded Rust engine as a native extension via Magnus/rb-sys, so queries run in-process without a separate server.
Monitoring connected Android devices via adb command. And you can create simple http graph wth Google API.
In-memory graph for Ruby
RedGrape is an in-memory graph database written in ruby. I made this in order to learn how graph databases work so that please do not use this for any serious purpose.
ObjectGraph will output Graphviz dot files of your objects in memory. It will ferret out your instance variables and enumerate over your enumerables to give you a graph of your object and its relationships. For sample output and more sample code see: * http://flickr.com/photos/aaronp/tags/graphviz/ * http://tenderlovemaking.com/2007/06/17/graphing-ruby-objects/ * http://tenderlovemaking.com/2007/01/13/graphing-objects-in-memory-with-ruby/
Memory infrastructure for agents: short-term checkpointing, long-term file-based and graph-based memory, retrieval with time decay, and maintenance jobs.
Official Ruby SDK for Supermemory. Add persistent memory to AI applications with document management, semantic search, user profiling, and integrations with ruby-openai, graph-agent, and langchainrb.
A Ruby gem for extracting and importing complex ActiveRecord object graphs with smart dependency resolution, beautiful CLI progress visualization, and memory-efficient streaming. Perfect for data migration, testing, and environment synchronization.
Native implementation of Dijkstra algorithm for finding the shortest path between two vertices in a large, sparse graphs. Underlying algorithm is implemented in C using a priority queue. Edges are represented using linked lists rather than an adjacency matrix to reduce memory footprint when operating on very large graphs where the average number of edges between nodes is relatively small (e.g. < 1/10 the number of nodes). See https://en.wikipedia.org/wiki/Dijkstra's_algorithm for additional information.
Kinship is a schema-inferred relationship graph for Ruby applications. It automatically discovers parent/child relationships between models by inspecting attributes (e.g. user_id, post_id) and builds a complete in-memory graph with zero configuration. Kinship enables deep relationship traversal, automatic join planning, and eliminates common N+1 query patterns without requiring has_many or belongs_to declarations. It is framework-agnostic and works with Rails, Jetski, and custom ORMs.
Agentf is a Ruby-native multi-agent workflow engine with an ORCHESTRATOR, role-specialized agents, provider adapters (OpenCode/Copilot), and Redis-backed semantic, episodic, and graph-style memory. It includes a unified CLI, MCP server tools, and install/update workflows for generated agent/command manifests.
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