#python
OpenRAG is an intelligent document search platform that combines three powerful open-source tools—Docling, OpenSearch, and Langflow—to transform your documents into an AI-powered knowledge system. You upload files of any format (PDFs, Word documents, images, audio), and the system intelligently parses and indexes them for semantic search. Then you chat with your documents through a simple interface, getting accurate answers backed by relevant sources. The benefit is that you get enterprise-grade document retrieval and AI conversations ready to use immediately, without building complex systems from scratch, while maintaining full control over how documents are processed and searched.
https://github.com/langflow-ai/openrag
OpenRAG is an intelligent document search platform that combines three powerful open-source tools—Docling, OpenSearch, and Langflow—to transform your documents into an AI-powered knowledge system. You upload files of any format (PDFs, Word documents, images, audio), and the system intelligently parses and indexes them for semantic search. Then you chat with your documents through a simple interface, getting accurate answers backed by relevant sources. The benefit is that you get enterprise-grade document retrieval and AI conversations ready to use immediately, without building complex systems from scratch, while maintaining full control over how documents are processed and searched.
https://github.com/langflow-ai/openrag
GitHub
GitHub - langflow-ai/openrag: OpenRAG is a comprehensive, single package Retrieval-Augmented Generation platform built on Langflow…
OpenRAG is a comprehensive, single package Retrieval-Augmented Generation platform built on Langflow, Docling, and Opensearch. - langflow-ai/openrag
#python #agentic_ai #agents #memory
Hindsight is a top agent memory system that helps AI agents learn over time by storing facts, experiences, and mental models like human memory, beating rivals on LongMemEval benchmarks with 91.4% accuracy. Add it easily with 2 lines of code via Python or Node.js clients, using simple retain, recall, and reflect operations for Docker or embedded setups. You benefit by building smarter, consistent agents that reduce errors, cut hallucinations, handle long-term tasks, and personalize chats—saving time and boosting performance in production.
https://github.com/vectorize-io/hindsight
Hindsight is a top agent memory system that helps AI agents learn over time by storing facts, experiences, and mental models like human memory, beating rivals on LongMemEval benchmarks with 91.4% accuracy. Add it easily with 2 lines of code via Python or Node.js clients, using simple retain, recall, and reflect operations for Docker or embedded setups. You benefit by building smarter, consistent agents that reduce errors, cut hallucinations, handle long-term tasks, and personalize chats—saving time and boosting performance in production.
https://github.com/vectorize-io/hindsight
GitHub
GitHub - vectorize-io/hindsight: Hindsight: Agent Memory That Learns
Hindsight: Agent Memory That Learns. Contribute to vectorize-io/hindsight development by creating an account on GitHub.
#python
Dimensional OS (DimOS) is a simple Python-based operating system for robots like quadrupeds, humanoids, drones, and arms from Unitree, Xarm, and more—no ROS needed. Install easily with one command, run simulations or real hardware, and use natural language like "explore the room" for agent control with navigation, perception, spatial memory, and multi-agent systems. You benefit by quickly building and testing advanced robot apps locally, saving time and enabling seamless hardware integration without complex setups.
https://github.com/dimensionalOS/dimos
Dimensional OS (DimOS) is a simple Python-based operating system for robots like quadrupeds, humanoids, drones, and arms from Unitree, Xarm, and more—no ROS needed. Install easily with one command, run simulations or real hardware, and use natural language like "explore the room" for agent control with navigation, perception, spatial memory, and multi-agent systems. You benefit by quickly building and testing advanced robot apps locally, saving time and enabling seamless hardware integration without complex setups.
https://github.com/dimensionalOS/dimos
GitHub
GitHub - dimensionalOS/dimos: Dimensional is the agentic operating system for physical space. Vibecode humanoids, quadrupeds, drones…
Dimensional is the agentic operating system for physical space. Vibecode humanoids, quadrupeds, drones, and other hardware platforms in natural language and build multi-agent systems that work seam...
#python #agent #agentic_rag #ai_agents #clawbot #context_database #context_engineering #filesystem #llm #memory #openclaw #opencode #rag #skill
OpenViking is a free open-source tool that acts as a context database for AI agents, using a simple file system to organize memories, resources, and skills under viking:// paths. It fixes issues like scattered data, high token costs, weak searches, and untraceable errors with tiered loading (L0 abstracts, L1 overviews, L2 details loaded on demand), recursive directory retrieval, visual traces, and auto-session memory updates. You benefit by building smarter, cheaper agents faster—like managing files—saving up to 96% on tokens while boosting task success by 50%+.
https://github.com/volcengine/OpenViking
OpenViking is a free open-source tool that acts as a context database for AI agents, using a simple file system to organize memories, resources, and skills under viking:// paths. It fixes issues like scattered data, high token costs, weak searches, and untraceable errors with tiered loading (L0 abstracts, L1 overviews, L2 details loaded on demand), recursive directory retrieval, visual traces, and auto-session memory updates. You benefit by building smarter, cheaper agents faster—like managing files—saving up to 96% on tokens while boosting task success by 50%+.
https://github.com/volcengine/OpenViking
GitHub
GitHub - volcengine/OpenViking: OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw).…
OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need th...
#python #ai #deepagents #langchain #langgraph
Deep Agents is a ready-to-use AI agent framework that comes with built-in planning, file management, and task delegation tools. It breaks down complex tasks into manageable steps, maintains context across conversations, and can spawn specialized sub-agents to handle focused work independently. You benefit from getting a working agent immediately without building from scratch, while retaining full customization options for your specific needs. The framework handles context management automatically, making it ideal for multi-step projects that traditional agents struggle with.
https://github.com/langchain-ai/deepagents
Deep Agents is a ready-to-use AI agent framework that comes with built-in planning, file management, and task delegation tools. It breaks down complex tasks into manageable steps, maintains context across conversations, and can spawn specialized sub-agents to handle focused work independently. You benefit from getting a working agent immediately without building from scratch, while retaining full customization options for your specific needs. The framework handles context management automatically, making it ideal for multi-step projects that traditional agents struggle with.
https://github.com/langchain-ai/deepagents
GitHub
GitHub - langchain-ai/deepagents: Agent harness built with LangChain and LangGraph. Equipped with a planning tool, a filesystem…
Agent harness built with LangChain and LangGraph. Equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - well-equipped to handle complex agentic tasks. - langchai...
#cplusplus #apple_silicon #bsd #c_plus_plus #cmake #floss #game #gplv2 #json #linux #lua #macos_app #python #strategy #windows
Widelands is a free, open-source real-time strategy game like Settlers II, where you lead a small clan to build roads, gather resources like wood and gold, manage four unique tribes, trade, or fight in single-player campaigns and multiplayer. Download it easily for Windows, Mac, or Linux, or compile from source with simple scripts and tools like CMake on various systems. This lets you enjoy deep, replayable empire-building fun at no cost, anytime with friends or AI.
https://github.com/widelands/widelands
Widelands is a free, open-source real-time strategy game like Settlers II, where you lead a small clan to build roads, gather resources like wood and gold, manage four unique tribes, trade, or fight in single-player campaigns and multiplayer. Download it easily for Windows, Mac, or Linux, or compile from source with simple scripts and tools like CMake on various systems. This lets you enjoy deep, replayable empire-building fun at no cost, anytime with friends or AI.
https://github.com/widelands/widelands
GitHub
GitHub - widelands/widelands: Widelands is a free, open source real-time strategy game with singleplayer campaigns and a multiplayer…
Widelands is a free, open source real-time strategy game with singleplayer campaigns and a multiplayer mode. The game was inspired by Settlers II™ (© Bluebyte) but has significantly more variety an...
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#python #physics_simulation #reinforcement_learning #robot_learning #robot_manipulation #robotics
robosuite v1.5 is a free MuJoCo-powered simulation tool for robot learning, with benchmarks, humanoid robots, custom designs, whole-body controllers, teleop devices, and photo-realistic rendering. It offers modular APIs for easy task creation, sensors, and human demos. You benefit by quickly prototyping robot AI experiments at low cost, ensuring reproducible results without real hardware.
https://github.com/ARISE-Initiative/robosuite
robosuite v1.5 is a free MuJoCo-powered simulation tool for robot learning, with benchmarks, humanoid robots, custom designs, whole-body controllers, teleop devices, and photo-realistic rendering. It offers modular APIs for easy task creation, sensors, and human demos. You benefit by quickly prototyping robot AI experiments at low cost, ensuring reproducible results without real hardware.
https://github.com/ARISE-Initiative/robosuite
GitHub
GitHub - ARISE-Initiative/robosuite: robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning - ARISE-Initiative/robosuite
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