Cloud AI employee with its own Linux desktop that runs multi-step work across Gmail, Notion, Linear, GitHub and Slack.
Agent Memory
Persistent recall for AI assistants, so preferences, decisions and past sessions survive the context window.
18 apps, 2 skills and 4 MCP servers tagged Agent Memory.
Apps
Open-source desktop AI agent that builds a local, readable memory of your work, then orchestrates agent fleets and durable workflows on top of it.
Native macOS harness for AI agents — any model, persistent memory, sandboxed execution and cryptographic identity, fully offline and open source.
A single platform for building internal AI agents and multi-step agent systems, with memory, sandboxed compute, durable workflows, human approvals and 1,000+ integrations.
Voice-first personal AI agents with continuous memory across voice and text — four distinct personalities, ultra-low latency, free on iOS.
Local, 24/7 screen and audio recorder that turns your work into searchable memory for AI agents.
Local-first memory hub that reads your existing AI chat history and gives every agent you use the same long-term context.
Turn a Postgres database into working memory for AI agents — relational rows, graph traversal and vector search fused into one ranked, token-budgeted context block.
AI-native CRM that keeps a versioned memory of every customer and runs agents that update records, prep meetings and build pipeline.
A shared channel workspace where people and AI agents run recurring business work together — with goals, approvals and handoffs that survive a pause.
MIT-licensed multi-agent harness that turns the CLI coding agent you already use into a persistent clone of yourself, running around the clock.
A shared memory layer for AI coding tools — tell Claude Code something once and Cursor, Codex and Claude Desktop already know it.
MCP-native context layer that syncs one self-updating memory across Claude, ChatGPT, Cursor, and the tools you already work in.
Open-source, repo-native project memory for coding agents, stored as plain Markdown.
A memory layer for AI agents — remember user preferences and past interactions without stuffing the context window.
The multi-agent framework where agents have roles and collaborate as a crew — plus a platform to run them in production.
Build a team of specialist AI agents — recruit, brief, and manage them like staff, with no code required.
An AI coworker that lives in your Slack — one teammate per channel, each with its own memory, tools, and approval rules.
Skills
Persistent cross-session memory for coding agents: hooks capture each session, a local SQLite + vector store compresses it, and a mem-search skill reads it back.
VoltAgent's official conventions skill — when to reach for an agent versus a workflow, the expected project layout, and the core snippets for agents, workflows, memory and servers.
MCP servers
Persistent memory for coding agents as a single Go binary — SQLite and FTS5 behind MCP, an HTTP API, a CLI and a TUI, with no Node, Python or Docker required.
Self-hosted persistent memory for coding agents: hooks capture what you do, and an MCP server lets any agent recall it across sessions and across tools.
MCP: Dense-Mem
by markhuangai
Self-hosted agent memory server on Postgres/pgvector that tracks evidence, flags contradictions, and never silently rewrites facts.
MCP: Memory
by Model Context Protocol
A knowledge-graph-based persistent memory system that lets an agent remember entities and relations across sessions.
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