memweave is a zero-infrastructure, async-first Python library that gives AI agents persistent, searchable memory — stored as plain Markdown files
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Updated
Apr 11, 2026 - Python
memweave is a zero-infrastructure, async-first Python library that gives AI agents persistent, searchable memory — stored as plain Markdown files
🖼️ Workshop: Build a multimodal AI agent with Haystack & GPT-4o — featuring image understanding, document retrieval, conversational memory, and human-in-the-loop safety controls
Allows to save chat history of converation.
Official Python SDK for SwastikAI
MCP Context Server — a FastMCP-based server providing persistent multimodal context storage for LLM agents.
To manage short-term memory in chatbots, using a combination of storage techniques and automatic summarization to optimize conversational context.
A simple deep learning repository covering ANN, CNN, Transfer Learning, and Sequence Models (RNN, LSTM, GRU) with easy explanations of core concepts.
A complex CrewAI Walmart Assistant chatbot that has features such as guardrails, short/long-term memory, speech-to-text option, and more.
Short-Term and Long-Term Memory in LLM System
Obesity impairs cognitive function with no effects on anxiety-like behaviour in zebrafish
Short-term memory proxy gateway with proactive memory surfacing for AI agents
Research products related to the publication "Changing-State Irrelevant Speech Disrupts Visual-Verbal but not Visual-Spatial Serial Recall"
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