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vectorize-io/hindsight

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1,460 स्टार्स·175 फोर्क्स·Python·mit·7 व्यूज़hindsight.vectorize.io↗

Hindsight

Features

  • Agent Frameworks - Long-term memory solution for AI agents.
  • Knowledge and Memory - Deploy advanced long-term memory with multiple retrieval strategies.

स्टार हिस्ट्री

vectorize-io/hindsight के लिए स्टार हिस्ट्री चार्टvectorize-io/hindsight के लिए स्टार हिस्ट्री चार्ट

AI सर्च

और अधिक बेहतरीन रिपॉजिटरी खोजें

अपनी ज़रूरत को सरल भाषा में बताएं — AI हजारों क्यूरेटेड ओपन-सोर्स प्रोजेक्ट्स को प्रासंगिकता के आधार पर रैंक करता है।

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Hindsight के ओपन-सोर्स विकल्प

समान ओपन-सोर्स प्रोजेक्ट्स, जो Hindsight के साथ साझा की गई सुविधाओं के आधार पर रैंक किए गए हैं।
  • simular-ai/agent-ssimular-ai का अवतार

    simular-ai/Agent-S

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    Agent-S is a multimodal AI agent and LLM desktop automation framework designed to control operating systems through graphical user interface interactions. It functions as a computer use interface, utilizing vision-language grounding to translate natural language goals into precise screen coordinates and system actions. The project differentiates itself by combining structured accessibility tree inspection with vision-based element localization. It manages cross-application workflows by mapping conceptual descriptions to physical pixels and simulating low-level keyboard and mouse events to mov

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    Memori is an AI agent memory middleware platform designed to provide persistent, context-aware recall for language models. It functions as a non-intrusive layer that intercepts outbound model requests to automatically capture interaction history and execution traces, ensuring that agents maintain continuity across sessions without requiring modifications to existing application logic. The platform distinguishes itself through a dual-model storage architecture that maintains information as both structured relational primitives for precise fact retrieval and rolling narrative summaries for situ

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    Hive is an artificial intelligence workflow automation engine and development platform designed for building and deploying autonomous agents. It provides a framework for orchestrating complex, multi-step business processes by coordinating tasks across multiple specialized agents using directed graph structures. The platform distinguishes itself through a focus on production-grade reliability and state management. It maintains persistent execution context and conversation history on disk, enabling crash recovery and continuity for long-running automated sessions. Furthermore, it incorporates a

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Hindsight के सभी 30 विकल्प देखें→

अक्सर पूछे जाने वाले प्रश्न

vectorize-io/hindsight की मुख्य विशेषताएं क्या हैं?

vectorize-io/hindsight की मुख्य विशेषताएं हैं: Agent Frameworks, Knowledge and Memory।

vectorize-io/hindsight के कुछ ओपन-सोर्स विकल्प क्या हैं?

vectorize-io/hindsight के ओपन-सोर्स विकल्पों में शामिल हैं: simular-ai/agent-s — Agent-S is a multimodal AI agent and LLM desktop automation framework designed to control operating systems through… memorilabs/memori — Memori is an AI agent memory middleware platform designed to provide persistent, context-aware recall for language… aden-hive/hive — Hive is an artificial intelligence workflow automation engine and development platform designed for building and… agent-infra/sandbox — This project provides secure, containerized infrastructure designed for autonomous agents, remote code execution, and… agenta-ai/agenta — Agenta is a Prompt Ops lifecycle manager and prompt management platform that decouples prompt engineering from… agent-field/agentfield.