Awesome GitHub RepositoriesShared Knowledge Graph Memory

Graphify is a knowledge retrieval system that transforms directories of source code and documentation into structured, queryable project maps. It utilizes a code-to-graph parser to extract technical metadata and system connectivity, converting a mix of code, SQL schemas, and documentation into a unified graph structure. The project distinguishes itself by integrating these knowledge graphs with AI coding assistants through a Model Context Protocol server and dedicated tool hooks. This allows AI agents to perform lookups and impact analysis on node neighbors and shortest paths to understand ho

Nanoclaw is an LLM agent orchestrator and multi-platform chat gateway designed to deploy and manage isolated AI agents. It provides a containerized runtime that executes agents within sandboxed Linux containers, ensuring filesystem and state isolation through dedicated workspaces and host bind-mounts. The project distinguishes itself through a unified routing pipeline that connects agents to diverse messaging platforms, including WhatsApp, Discord, Slack, Telegram, Signal, and iMessage. It integrates the Model Context Protocol to extend agent capabilities via managed external data and functio

AgentMemory is a persistent knowledge store and memory server designed to provide AI coding agents with long-term memory. It functions as a knowledge graph engine and vector database store that saves and recalls project context, architectural decisions, and patterns across different sessions. The system distinguishes itself by using a tiered-memory consolidation pipeline that compresses raw observations into episodic, semantic, and procedural layers to optimize token usage. It employs a hybrid retrieval strategy combining keyword matching, vector embeddings, and graph traversal to surface rel

Letta is a framework for building, deploying, and managing autonomous AI agents that maintain persistent state across long-term interactions. It provides a comprehensive suite of primitives for defining agents with configurable personas, modular memory blocks, and tool-use capabilities, enabling them to retain user preferences and conversation history over extended sessions. The platform distinguishes itself through its advanced memory management and orchestration capabilities. It allows agents to autonomously update their own memory, perform retrieval-augmented generation, and coordinate com

Cognee is an agentic memory management platform designed to provide autonomous agents with long-term semantic recall and structured knowledge. It functions as a framework for building persistent memory systems that connect large language models to graph-based knowledge and vector storage, enabling agents to maintain context across complex tasks and multiple sessions. The platform distinguishes itself through a hybrid approach that combines semantic similarity search with structural graph traversal, allowing for context-aware information retrieval. It features a modular architecture that orche

Neo4j is a native graph database management system designed to store and query highly connected data using a property-graph model. It provides an ACID-compliant transaction engine that ensures data integrity, supported by a distributed cluster architecture that maintains causal consistency across nodes. Users interact with the system through a declarative query language, which allows for complex pattern matching and path traversal without requiring manual traversal logic. The platform distinguishes itself through its hybrid approach to data retrieval, combining traditional graph-based queries

Hermes-webui is a self-hosted AI orchestrator and web interface for managing autonomous agents. It serves as a multi-provider gateway that connects cloud and local large language models, providing a central hub to execute scheduled background jobs, run shell commands, and manage agent memory on private hardware. The system distinguishes itself through a persistent memory manager that utilizes knowledge graphs and markdown files for long-term context across sessions. It features a model context protocol host for extending agent capabilities with standardized tools and supports the orchestratio

DeepTutor is a framework for personalized AI tutoring and educational content generation. It functions as an agentic workflow system that executes reasoning loops to complete multi-step tasks, transforming raw sources into structured learning materials such as interactive books, quizzes, and concept graphs. The platform distinguishes itself through an extensible skill architecture that allows the installation and auditing of third-party capability packages from community registries. It utilizes persona-driven tool policies to deploy persistent AI companions with unique behavioral profiles and

This project is a comprehensive framework for the orchestration, evaluation, and context management of large language model agents. It provides a set of architectural patterns and standards for designing agent interactions, integrating external tools, and establishing memory architectures to persist knowledge across sessions. The system focuses on optimizing the limited memory of language models through token-aware context compression and filesystem-based context offloading. It incorporates secure execution environments using sandboxed virtual machines and isolated containers to safely run ba

jcode ist ein Framework für die Entwicklung autonomer KI-Coding-Agenten, die Softwareentwicklungsaufgaben automatisieren. Es fungiert als Agenten-Orchestrator, Tool-Laufzeitumgebung und semantische Speicher-Engine und ermöglicht die Erstellung von Agenten, die Code modifizieren, Tests ausführen und ihre eigene Funktionalität iterieren können. Das Projekt zeichnet sich durch die Verwendung von rekursivem Agenten-Swarming aus, bei dem eine Hierarchie zusammenarbeitender Agenten untergeordnete Agenten hervorbringen kann, um komplexe Aufgaben zu zerlegen. Es implementiert ein semantisches Speichersystem, das vektorbasierte Abfrage mit graphenbasierter Beziehungszuordnung kombiniert, um den Kontext über Sitzungen hinweg zu wahren. Um Risiken zu verwalten, verwendet das System eine gestaffelte Aktions-Governance, die für sensible Operationen eine menschliche Genehmigung erfordert und Agentenaktivitäten innerhalb separater Git-Worktrees isoliert. Das Framework enthält ein umfassendes Browser-Automatisierungs-Toolkit für die Interaktion mit Webseiten, das Extrahieren von DOM-Snapshots und das Erfassen von Screenshots. Es implementiert zudem das Model Context Protocol zur Integration externer Tools und Daten und unterstützt binäres Hot-Reloading, um den Server zu aktualisieren, ohne aktive Netzwerkverbindungen zu verlieren. Das System bietet eine Befehlszeilenschnittstelle zur Verwaltung von Agenten-Speichern und enthält Audit-Tools, um den Fortschritt von Plänen zu verfolgen und die Topologie des Agenten-Schwarms zu visualisieren.

Athens is no longer maintainted. Athens was an open-source, collaborative knowledge graph, backed by YC W21

MemOS is an open-source persistent memory layer for AI agents and large language models, providing a self-hosted server that stores and retrieves structured memory across sessions. It enables AI systems to recall user preferences, history, and context without retraining, using a graph-based API and a web management interface for viewing, editing, and organizing memory items, skills, traces, and knowledge bases. The system distinguishes itself through a portable memory interchange protocol that allows memory to be transferred between different AI models, devices, and applications, along with a

PraisonAI is an autonomous AI agent platform that coordinates multiple LLM-powered agents for research, planning, and execution of complex workflows. It functions as a multi-agent orchestration framework, a workflow builder, and a Model Context Protocol server, while also providing retrieval-augmented generation through vector knowledge bases. Agents can interact via CLI, web, or standardized protocols with sandboxed code execution. The platform distinguishes itself with a rich set of agent communication protocols, including A2A, REST, WebSocket, voice and telephony integration, and MCP, allo

MemMachine is a centralized memory management server and model-agnostic memory layer for large language models. It functions as a persistence layer that stores user profiles and conversational context, providing a decoupled data store that prevents vendor lock-in by serving different AI models through a consistent API. The system implements the Model Context Protocol to share persistent agent memories and session data with compatible AI clients. It utilizes a multi-tiered memory hierarchy, combining a graph-based conversation store for episodic interactions with a vector knowledge base for se

DashMap ist eine Concurrent-Hash-Map für Rust, die ein thread-sicheres assoziatives Array für hochperformanten Multi-Thread-Zugriff bereitstellt. Sie dient als parallele Datenstruktur, die gleichzeitige Lese- und Schreibvorgänge ermöglicht, ohne dass ein globaler Lock erforderlich ist. Das Projekt verwendet eine Sharded-Lock-Architektur, um Thread-Konkurrenz zu reduzieren, und setzt feingranulare Locks auf Shard-Ebene ein. Es ist eine Serde-kompatible Map, die Serialisierung und Deserialisierung implementiert, um Map-Daten in gängige Formate zu konvertieren und daraus zurückzuführen. Die Bibliothek deckt Funktionen für parallele Datenspeicherung, Shared-State-Management und die Implementierung thread-sicherer Caches ab.

EvoScientist is an autonomous AI scientist and multi-agent research framework designed to plan, code, and execute end-to-end scientific research workflows. It functions as an agentic workflow orchestrator that uses a state-machine to coordinate specialized agents through iterative phases of planning, execution, and verification. The system is distinguished by a persistent knowledge graph memory that distills agent interactions into reusable skills and a hub for integrating external tools via the Model Context Protocol. It features a provider-agnostic model layer for switching between language

This project is an API gateway optimization manual and implementation guide for OpenResty. It provides a collection of architectural patterns and coding standards for developing scriptable server logic using the Lua language within Nginx. The repository serves as a reference for extending web server functionality and optimizing network traffic gateways. It focuses on deployment strategies and high-performance coding patterns to reduce latency and increase request throughput. The content covers the development of custom gateway logic, edge computing workflows, and high-throughput network engi

Cipher is an AI agent orchestration framework and LLM context memory layer. It provides a collaborative AI knowledge base and a context synchronization service that allows AI agents and CLI tools to maintain a persistent, structured memory of project decisions and codebase patterns across different sessions and machines. The system distinguishes itself through a version-controlled context model, using branches and commits to track how project knowledge evolves. It features a hierarchical knowledge store where information is organized as markdown files and can be synchronized between local env

MIRIX is an AI agent state orchestrator and long-term memory system designed to provide persistent context for large language models. It functions as a multi-modal AI memory pipeline that processes text, voice, and screen captures into structured knowledge stores, including a dedicated screen activity knowledge base. The project distinguishes itself by integrating a multi-modal observation pipeline that monitors desktop activity in real-time to build a searchable history of user actions. It utilizes a multi-tiered memory hierarchy—separating episodic, semantic, procedural, and core stores—and

PromptX is an LLM agent orchestration framework designed to execute multi-step workflows using autonomous agents. It features a sandboxed tool execution environment for secure filesystem operations and external API integrations, alongside a persona management system that defines professional roles and domain expertise to control agent behavior. The system implements a semantic memory network for persistent knowledge storage, utilizing graph-based memory and engrams to retain information across sessions. This cognitive memory includes specialized tools for knowledge graph visualization, allowi