18 packages found
MCP server for persistent context management in AI coding assistants
A Multi Agent Memory MCP That Connect Agents Across Systems and Machines
Advanced MCP server for unified knowledge management with PostgreSQL+pgvector, knowledge graphs, research workflows, and
Make every AI agent you use smarter. Persistent memory with SQLite FTS5, MCP server, Obsidian sync, and self-learning in
Persistent memory for any AI — MCP server, HTTP API, CLI. Works with Claude, ChatGPT, Grok, Gemini, Codex, Cursor, OpenC
Palaia — Local, crash-safe memory for AI agents. Semantic vector search (fastembed/OpenAI/Ollama). SQLite + sqlite-vec o
@soolaugustZero context compaction for Claude Code & LLM agents. Persistent memory powered by OS primitives (demand paging, kswapd
High-performance MCP memory server for multi-agent systems — SQLite-backed with hybrid search.
Persistent memory for AI coding agents. SQLite-backed knowledge graph with MCP server.
Your AI forgets everything between sessions. SAME fixes that. Local-first, no API keys, single binary.
Persistent memory for AI coding agents. Semantic knowledge + searchable archives in SQLite, served as an MCP server. HES
Persistent memory for AI assistants, self-hosted and provider-portable. MCP server with SQLite + FTS5 + sqlite-vec.
A cognitive memory system for AI agents. Single SQLite file. MCP server included.
MCPSDK.dev(ToolSDK.ai)'s Awesome MCP Servers and Packages Registry and Database with Structured JSON configurations. Sup
Cognitive memory database for AI agents — consolidates duplicates, detects contradictions, fades stale memories via temp
On-device memory layer for AI agents. Claude Code, Hermes and OpenClaw. Hooks + MCP server + hybrid RAG search.
CoreMCP: Connect Legacy Databases to AI Agents via Model Context Protocol. Open-source bridge for LLM data analysis.
AutoMem is a graph-vector memory service that gives AI assistants durable, relational memory: