Awesome GitHub RepositoriesAgent Memory Storage

Mempalace is a local-first long-term memory store for large language models and AI agents. It provides a persistent storage system for verbatim conversation history and agent data, utilizing a local-first knowledge graph to track evolving entity relationships and timelines. The project implements a standardized memory protocol that allows external AI clients to read and write persistent memory via standard input and output. It features a hybrid semantic search engine that combines keyword boosting and reranking to find precise historical information across scoped categories. The system inclu

SurrealDB is a multi-model database engine designed to store and query document, graph, relational, and vector data within a single ACID-compliant platform. It functions as an AI-native data store, integrating vector search, graph traversal, and machine learning model execution directly into its query layer. By providing a unified declarative query language, the platform eliminates the need for external middleware to synchronize data across different storage models. The platform distinguishes itself through its ability to manage agent memory and complex workflows natively. It allows developer

Supermemory is an artificial intelligence memory management platform designed to provide autonomous agents with persistent, long-term knowledge bases. It functions as a centralized repository that synchronizes multimodal data, enabling agents to maintain context and historical information across complex, multi-session workflows. By serving as a knowledge graph engine and vector database orchestrator, the platform ensures that information remains accessible and relevant for automated tasks. The system distinguishes itself through its hybrid indexing approach, which combines vector similarity s

This project is a Python framework for building autonomous, event-driven agent systems. It provides a unified runtime for orchestrating multi-agent workflows, managing persistent conversation state, and executing code within secure, isolated sandbox environments. The framework is designed to handle complex task delegation, allowing agents to invoke other agents as tools while maintaining context across multi-turn interactions. The framework distinguishes itself through its deep integration with the Model Context Protocol, enabling agents to connect to external data sources and remote services

Agentscope is a comprehensive toolkit for developing and orchestrating autonomous multi-agent systems. It provides a unified framework for building agents that can reason, execute tools, and manage memory, enabling the creation of complex, collaborative workflows where multiple specialized agents interact to solve multi-step objectives. The platform distinguishes itself through a robust orchestration engine that supports both sequential and concurrent agent pipelines. It utilizes a centralized event bus for real-time telemetry, allowing developers to track agent reasoning, tool usage, and sys

This project is a feature-rich Go client library designed for interacting with Redis. It serves as a comprehensive interface for managing remote data stores, enabling developers to execute standard database commands, handle complex data structures, and perform asynchronous operations within Go applications. The library distinguishes itself through its support for advanced Redis capabilities, including connection pooling, pipelining, and transactional integrity. It provides specialized primitives for managing distributed clusters, including automated topology updates and request routing to sha

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

This project is a comprehensive framework for building and managing autonomous agent systems. It provides a unified architecture for orchestrating multi-agent societies, where specialized agents collaborate through roleplay to decompose and solve complex tasks. The system integrates language models with external environments, enabling agents to perform real-world actions through a standardized tool-calling abstraction layer. The framework distinguishes itself through its focus on iterative reasoning and data reliability. It employs automated feedback loops to refine agent outputs and self-eva

Weaviate is an AI-native vector database designed to store and index high-dimensional vector embeddings alongside traditional data objects. It serves as a backend infrastructure for retrieval-augmented generation, enabling applications to ground language model responses in private, context-aware data. The platform distinguishes itself by combining vector similarity search with traditional keyword filtering through a hybrid storage architecture. It integrates directly with external machine learning models to automate the generation of embeddings and perform complex inference tasks during inges

Valuecell is an artificial intelligence financial trading platform and market analysis engine. It functions as a multi-exchange trading bot and financial data orchestrator, designed to analyze market data and execute automated trades across global financial exchanges. The system utilizes a modular agent plugin framework that allows for the integration of third-party tools and agents through a shared community registry. It incorporates a retrieval-augmented generation approach to analyze fundamental financial documents and historical patterns, grounding AI responses in factual data. The platf

Aniyomi is an Android application for browsing, downloading, and reading manga from multiple online sources. It combines a local manga library manager with a customizable reader interface, allowing users to organize downloaded manga into categories and automatically update their collection on a configurable schedule. The application integrates with external anime and manga tracking services, synchronizing reading history and library status via their REST APIs. It also provides backup and restore functionality, creating portable JSON archives of the manga library and reading progress for offli

This project is a self-hosted bot protection service and CAPTCHA alternative that verifies human identity without relying on third-party tracking. It utilizes a combination of WebAssembly-based proof-of-work puzzles and browser instrumentation to distinguish humans from automated bots. The system is delivered as dockerized security middleware and a privacy-first verification API that operates without the use of cookies or user fingerprinting. The service differentiates itself by using GPU-resistant time-lock algorithms and instrumentation-based detection to identify headless browsers and auto

Aim is an open-source platform for logging, visualizing, and comparing machine learning training runs and LLM traces. It provides a remote tracking server and a comparison UI, functioning as an ML experiment tracker, AI workflow logger, and LLM trace recorder that captures prompts, generations, and tool calls from AI applications. The platform distinguishes itself through a run-based data model with local SQLite storage, real-time metric streaming, and a plugin-based explorer system that supports specialized visual analysis of metrics, images, audio, and text. It offers a Python SDK with cont

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

Open Canvas هو نظام لإدارة سير عمل وكلاء الذكاء الاصطناعي ذوي الحالة من خلال محرر تعاوني وإطار عمل تنسيق. يوفر مساحة عمل مشتركة حيث يقوم البشر ونماذج اللغات الكبيرة بتأليف المستندات وكتابة الكود في الوقت الفعلي، مدعوماً بمحرر نصوص مهيكل مع عرض حي. يتميز المشروع بدمج مدير حالة يتتبع سياق الجلسة، وذكريات المستخدم، واللقطات التاريخية عبر سلاسل المحادثات. يستخدم نموذج تنفيذ متين يسمح بتدخلات الإنسان في الحلقة ويحافظ على نظام تتبع الإصدار للمستندات وكتل الكود. يغطي إطار العمل مساحة قدرة واسعة، بما في ذلك واجهات نماذج مستقلة عن المزود للمحادثة والتضمينات، وتكوين سير العمل القائم على البرمجيات الوسيطة لحواجز الحماية والتوجيه، وإدارة السياق الشخصي لتخزين تفضيلات المستخدم. كما يتضمن أدوات لتصحيح أخطاء تنفيذ الوكيل والقدرة على نشر الخادم عبر صور الحاويات. يتم توفير خادم وكيل محلي للتعامل مع عمليات التشغيل، والسلاسل، والتخزين المستمر.

AIOS is an LLM agent operating system and orchestration kernel designed to manage memory, resource scheduling, and tool execution for multiple autonomous AI agents. It serves as a comprehensive framework for developing and deploying agents, featuring a dedicated resource manager that coordinates model backends, GPU memory, and isolated kernel instances. The system distinguishes itself through a semantic memory engine that uses vector search and autonomous clustering for long-term knowledge management, and a semantic file system that allows users to control computer files and system operations

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

OpenSquilla هو إطار عمل لتنسيق وكلاء LLM مصمم لتنسيق سير عمل الذكاء الاصطناعي متعدد الخطوات وتنفيذ الأدوات باستخدام الرسوم البيانية الموجهة غير الدورية (DAGs). يعمل كنظام مركزي لإدارة حزم المهارات المتخصصة وتنفيذ تسلسلات التفكير المعقدة. يتميز المشروع ببوابة توجيه توجه المهام إلى مزودي ذكاء اصطناعي مختلفين بناءً على التعقيد والتكلفة والأداء. يستخدم نظام ذاكرة ذكاء اصطناعي متعدد المستويات ينظم المعرفة العاملة والعرضية والدلالية باستخدام التضمينات المحلية و SQLite، إلى جانب بيئة تنفيذ آمنة تعزل الكود الذي تم إنشاؤه بواسطة الوكيل عبر ملفات تعريف أذونات قائمة على المخاطر. تغطي المنصة مجموعة واسعة من الإمكانيات، بما في ذلك النشر متعدد القنوات على الويب ومنصات المراسلة، وجدولة المهام الآلية عبر cron، وجسر بروتوكول سياق النموذج (Model Context Protocol) للاتصال بالأدوات الخارجية. كما يوفر أدوات مراقبة شاملة لتتبع تكاليف الرموز (Tokens)، وتدقيق قرارات وقت التشغيل، وإدارة كتالوج للمهارات القابلة لإعادة الاستخدام. يتضمن النظام أدوات سطر أوامر لتهيئة مساحة العمل وإدارة دورة حياة المهارات.