
AgentMemo
Shared memory for AI agent teams
AgentMemo launched on May 18, 2026 with 2 votes, #6,288 of 20,538 launches that month.
What it does
Running multiple AI agents? They have zero shared context by default. AgentMemo fixes that. One MCP server gives your entire agent stack a shared memory pool. Agent A learns something, Agent B knows it next session. Semantic search, conflict detection, free tier. Install in 60 seconds: npm install -g @pulsoai/agentmemo-mcp
Shared AI agent memory
Does a similar job
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AgentmemoryMay 2026 · agent-memory.dev · ▲310Persistent memory for Claude Code, Codex & coding agents
MCP Memory – Fast Agent Memory Using Google's OKF and SQLite FTS5Aug 2026 · github.com · ▲70An OKF-backed Model Context Protocol (MCP) server delivering persistent long-term memory and SQLite FTS5 search for AI agents. - fellowgeek/mcp-memory


Mcp-Agent – Build effective agents with Model Context Protocol2025 · github.com · ▲80Hey HN, I spent my xmas break building an agent framework called mcp-agent [1](https://github.com/lastmile-ai/mcp-agent) for Model Context Protocol [2]. It makes it easy to build AI apps with MCP servers, and implements every pattern from the popular Building Effective Agents blog [3] as well as OpenAI’s Swarm [4]. I’m sharing it early to get community feedback on where to take it from here, and to ask for contributions. For those who aren’t familiar with MCP, I think of it as a standardized interface to let AI communicate with software via tool calls, resources and…
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