Results for @multi-agent/memory

User Memory SDK — profile / episodic / procedural 三类长期记忆,跨对话持久化。配合 @multi-agent/conversation 使用,a2a 生态扩展。

Multi-agent memory intelligence layer — shared knowledge, expertise tracking, and conflict detection for AI agent teams

Multi-agent memory server with scope-based access control - MCP Server

D.U.M.M.Y. OS — The AI Operating System. Dynamic. Unified. Multi-agent. Memory-driven. Yield.

Multi-agent memory and coordination server

Multi-agent memory intelligence layer — shared knowledge, expertise tracking, and conflict detection for AI agent teams

Codex CLI integration for Ruflo (claude-flow) - OpenAI Codex platform adapter

Cognitive Memory OS for AI Agents — persistent, self-improving, multi-agent memory

LangGraph Multi-Agent Supervisor

Multi-agent orchestration system built on AI SDK v5 - handoffs, routing, and coordination for any AI provider

Paperclip adapter for Hermes Agent — run Hermes as a managed employee in a Paperclip company

Persistent multi-path memory for AI agents — vector + BM25 keyword + entity graph search with RRF fusion, credential scrubbing, auto-consolidation, multi-backend storage (Qdrant + SQLite/Postgres)

Multi-Agent Memory System — Index, Search, Age, Compress. Zero dependencies.

No description provided.

Persistent memory and code intelligence for AI coding agents

Autonomous AI agent memory system with CLAUDE.md protocol enforcement

The simplest way to build AI-powered apps

Create a new LangGraph project

Coding agent CLI with read, bash, edit, write tools and session management

Persistent memory and code intelligence for AI coding agents

Apache Arrow columnar in-memory format

An implementation of a multi-agent swarm using LangGraph

Letta Code is a CLI tool for interacting with stateful Letta agents from the terminal.

A conversational AI-driven telecom multi-agent system for managing call balances, push notifications, marketing, targeting, and sales.