19 packages found
LLM-supervised persistent memory for AI agents — graph-based recall, cross-session knowledge, single binary. Works with
AI-powered group finance assistant using MCP architecture, Gemini LLM and Streamlit.
A Multi Agent Memory MCP That Connect Agents Across Systems and Machines
Agent-native file search CLI for large local workspaces, ideal for managing memory, skill, codebase and knowledgebase.
An agent based LLM assistant that extends RAG with batch entity extraction and SQL querying to improve performance on mu
MeshCore Hub provides a complete solution for monitoring, collecting, and interacting with MeshCore mesh networks
MCP server for persistent context management in AI coding assistants
Give Claude Code photographic memory in ONE portable file. No database, no SQLite, no ChromaDB - just a single .mv2 file
A toolkit that makes Claude Code better at engineering — session memory, dependency analysis, large file navigation, 18
AutoMem is a graph-vector memory service that gives AI assistants durable, relational memory:
A Data analysis agent powered by llm for querying database and visualizing results
Most AI agents forget you the moment the tab closes. Constellation Engine gives them a hippocampus — a living star map w
Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)
[EMNLP'24] EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
AMG-RAG (Agentic Medical Graph-RAG) is a comprehensive framework that automates the construction and continuous updating
Agent skill that teaches LLMs to operate Milvus vector database using pymilvus — connection, collections, vector CRU
Hivemind turns your traces into reusable skills across agents