22 packages found
Durable hybrid memory for AI agents: vector + BM25 + temporal + graph recall, exposed through MCP, HTTP, and Python.
Comprehensive MCP server providing real-time framework documentation access for Claude Code with intelligent caching, mu
SQLite-backed MCP Memory Server with WAL concurrent safety, FTS5 search, session tracking, task management, and cross-ma
MCP server that lets Claude Code and other AI agents read large PDFs without hitting context limits. Chunked reading, hy
Self-evolving memory across Agent and platform. The one portable memory layer for every agent they use - Claude Code, Co
Zero-config MCP server for searchable documentation (SQLite default, PostgreSQL optional)
Live context engine for AI assistants — resolve-before-context, session waypoints, and tool-selection intelligence for H
MCP Server para 70 APIs públicas brasileiras
Open Python agent harness for production AI apps: tools, MCP, memory, workspace, telemetry, subagents, background tasks,
Redis Vector Library (RedisVL) -- the AI-native Python client for Redis.
Long-term memory for LLMs. MCP server backed by hybrid search in a single SQLite file.
Model Context Protocol server giving AI assistants live access to moodledev.io docs, Hooks API, capabilities, XMLDB, and
Vault-native, accountable memory for Claude Code and MCP clients. Markdown is the source of truth, no LLM on the Stop pa
Context infrastructure for AI-assisted development — on-demand Obsidian vault access via MCP
Rimworld Coding RAG MCP server
MCP-сервер для Ozon Seller API и Performance API — подключите любого AI-агента к кабинету продавца
MCP server connecting AI agents to YADE — run DEM simulations through natural conversation
@Abhigyan-ShekharMCP server for external memory layer for AI agents + more . Download from pypi , and get started
Universal memory layer for AI applications. Self-host in minutes. Open source.
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents
Read-only MCP server for official Python docs: local index, no API keys, exact symbol lookup, version-aware retrieval.