Agentic Shared Memory is an open-source Python library designed to manage and optimize memory in multi-agent systems. It offers a vector embedding-based storage engine with efficient indexing and retrieval to maintain agent context. Developers can easily integrate it into existing AI frameworks, enabling agents to share, update, and query shared knowledge dynamically, improving collaboration, coherence, and decision-making across complex workflows.
AI Platforms & Frameworks
AI Memory Systems
Workflow Automation
#AI memory management
#multi-agent systems
#contextual data storage
#vector embeddings
#data retrieval techniques
#agent collaboration
#scalable AI frameworks
#LangChain-Integration
#context retention policies
#performance optimization
#reducing redundant computations
#customizable memory solutions
#coherent agent behavior
#problem-solving frameworks
#efficient indexing
#agent state management
#seamless context updates
#concurrent data access
#intelligent agent interactions
#distributed memory systems
...
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Agentic Shared Memory
Agentic Shared Memory is an open-source Python library designed to manage and optimize memory in multi-agent systems. It offers a vector embedding-based storage engine with efficient indexing and retrieval to maintain agent context. Developers can easily integrate it into existing AI frameworks, enabling agents to share, update, and query shared knowledge dynamically, improving collaboration, coherence, and decision-making across complex workflows.
AI Platforms & Frameworks
AI Memory Systems
Workflow Automation
#AI memory management
#multi-agent systems
#contextual data storage
#vector embeddings
#data retrieval techniques
#agent collaboration
#scalable AI frameworks
#LangChain-Integration
#context retention policies
#performance optimization
#reducing redundant computations
#customizable memory solutions
#coherent agent behavior
#problem-solving frameworks
#efficient indexing
#agent state management
#seamless context updates
#concurrent data access
#intelligent agent interactions
#distributed memory systems
...
Featured
What is Agentic Shared Memory?
Agentic Shared Memory provides a robust solution for managing contextual data in AI-driven multi-agent environments. Leveraging vector embeddings and efficient data structures, it stores agent observations, decisions, and state transitions, enabling seamless context retrieval and update. Agents can query the shared memory to access past interactions or global knowledge, fostering coherent behavior and collaborative problem-solving. The library supports plug-and-play integration with popular AI frameworks like LangChain or custom agent orchestrators, offering customizable retention strategies, context windowing, and search functions. By abstracting memory management, developers can focus on agent logic while ensuring scalable, consistent memory handling across distributed or centralized deployments. This improves overall system performance, reduces redundant computations, and enhances agent intelligence over time.
Who will use Agentic Shared Memory?
- AI developers
- Research scientists
- Multi-agent system engineers
- Machine learning engineers
How to use the Agentic Shared Memory?
- Step1: Install via pip with `pip install agentic-shared-memory`.
- Step2: Import and configure the memory store in your Python code.
- Step3: Initialize the shared memory instance with embedding and backend settings.
- Step4: Integrate the memory instance into your agent pipeline or framework.
- Step5: Use memory.get() to retrieve context and memory.update() to store new data.
- Step6: Adjust retention policies and context window sizes as needed.
Platform
- mac
- windows
- linux
Agentic Shared Memory's Core Features & Benefits
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