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Alternatives

Products that do what Mwe-MCP – self-hosted memory for AI agents that knows who may know what does

Hi HN, for about a year now I've been experimenting with AI agents and building my own home ecosystem; from the start I set out with the idea of an agent that behaves like a member of the family, not as a personal agent, and this made me clash very early first with OpenClaw's builtin memory, then I tested dozens of memory plugins without ever finding one that fit my purpose, so like any good builder I made my own. First on OpenClaw, as a plugin, then the idea matured and since the beginning of this year the memory plugin has evolved into an agent agnostic MCP server. It has been running my…

  1. 1

    The memory layer for AI agents

    Jul 2026 · kitforai.com

  2. 2MA

    Hey 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…

    2025 · github.com

  3. 3
    Memori168

    Persistent memory from agent trace, not just conversation

    May 2026 · memorilabs.ai

  4. 4

    The most user-friendly OpenClaw. Securely hosted.

    Mar 2026 · jdoodle.com

  5. 5

    An OKF-backed Model Context Protocol (MCP) server delivering persistent long-term memory and SQLite FTS5 search for AI agents. - fellowgeek/mcp-memory

    25d ago · github.com

  6. 6

    13,000+ MCP servers, skills & plugins for AI coding agents

    Jul 2026 · codexmarketplaces.com

  7. 7IM

    Store memories, auto-extract entities and relationships, search semantically. MCP server + REST API + SDKs. Self-hostable, cloud option, MIT license.

    May 2026 · agentrecall.cloud

  8. 8WE

    Hey HN! We’ve been building an MCP server to help AI-assisted web app developers by using browser agents to test whether changes made by an AI inside an editor actually work. We've been testing it on scenarios like verifying new flows in a UI, or checking that sending a chat request triggers a response. The idea is to let your coding agent both code and evaluate if what it did was correct. Here’s a short demo with Cursor: https://www.youtube.com/watch?v=_AoQK-bwR0w When building apps, we found the hardest part of AI-assisted coding isn’t the coding—it’s tedious point-and-click…

    2025 · github.com

  9. 9

    Love OpenClaw? Now ship it to production. Built in Rust.

    Feb 2026 · github.com

  10. 10AL

    Most of the MCP servers that I’ve seen are tools implemented in standalone projects. To onboard more tools (especially agents and multi-agent workflows) to MCP, I’ve been thinking it’s important to allow AI engineers to continue to prototype in their existing agent frameworks and deploy with minimal conversion when ready. We created the automcp library, which you can add as a dependency to existing projects (CrewAI, LangGraph, Llama Index, OpenAI Agents SDK, Pydantic AI, mcp-agent currently supported but more coming soon). You just need to run a CLI command to create a run_mcp.py file, make…

    2025 · github.com

  11. 11

    Persistent, shared memory for agents

    Mar 2026 · mem9.ai

  12. 12

    Portable context for every AI. Never explain yourself twice.

    Jun 2026 · ao2.ai

  13. 13NT

    Today we're releasing Nanobot an open-source framework for building AI agents on top of the Model Context Protocol (MCP). MCP servers are a great way to expose structured tools, but they’re usually just that—collections of functions. Nanobot makes it simple to wrap any MCP server with reasoning, a system prompt, and orchestration so it behaves like a real agent. Even better, Nanobot fully supports MCP-UI, so agents can pass rich interactive components (forms, dashboards, even mini-apps) directly into chat. A simple example: if you had a Blackjack MCP server with tools like deal, bet, and…

    Sep 2025 · nanobot.ai

  14. 14

    Local-first memory for AI agents — offline, no keys

    Jul 2026 · github.com

  15. 15

    AI memory for every agent

    Dec 2025 · localmemory.co

  16. 16HM

    We built a Rust MCP server, which wraps the excellent headless terminal (HT)[1] to makes it available for agentic coding tools. Most agentic coding tools struggle with blocking, interactive terminal tools (all the boilerplate generator, infra CLI tools etc). This is because many existing CLI dev tools are built for humans and require interactive input. We built this so agentic coding tools (Claude Code, Cursor, Memex, etc) can “see” and “interact” with terminals exactly like humans do. In our demo video [2], you'll see it operating vim/emacs just as a human would - selecting options,…

    2025 · github.com

  17. 17

    Open-source MCP server. #5 on LoCoMo. 100% local. MIT.

    May 2026 · totalmemory.dev

  18. 18

    Zero-config hosting to launch specialized AI teams instantly

    Feb 2026 · yourclaw.cloud

  19. 19LA

    Hi HN, I'm excited to share Latitude Agents—the first autonomous agent platform built for the Model Context Protocol (MCP). With Latitude Agents, you can design, evaluate, and deploy self-improving AI agents that integrate directly with your tools and data. We've been working on agents for a while, and continue to be impressed by the things they can do. When we learned about the Model Context Protocol, we knew it was the missing piece to enable truly autonomous agents. MCP servers were first thought out as an extension for local AI tools (i.e Claude Desktop) so they aren't easily hostable in…

    2025 · latitude.so

  20. 20CO

    So I've been building ClawMem, an open-source context engine that gives AI coding agents persistent memory across sessions. It works with Claude Code (hooks + MCP) and OpenClaw (ContextEngine plugin + REST API), and both can share the same SQLite vault, so your CLI agent and your voice/chat agent build on the same memory without syncing anything. The retrieval architecture is a Frankenstein, which is pretty much always my process. I pulled the best parts from recent projects and research and stitched them together: [QMD](https://github.com/tobi/qmd) for the…

    Mar 2026 · github.com

  21. 21

    Give AI agents long-term memory. Not vector search or RAG

    Dec 2025 · github.com

  22. 22MS
  23. 23MA

    I’ve been building and using agents heavily lately. The Model Context Protocol ecosystem is growing insanely fast, but discovering and configuring new tools is still highly manual. Every time I needed to connect an agent to a new service, I had to browse registries, figure out the transport type, identify required env vars, and manually update "mcp.json" files. So I built MCPfinder. It aggregates servers from the official MCP registry, Glama, and Smithery (around 25,000 combined entries) into a deduplicated, ranked catalog. But the real twist is the DX: MCPfinder is itself an MCP server :D…

    Apr 2026 · mcpfinder.dev

  24. 24

    Works with Cursor, Claude, OpenClaw, any MCP-comp agent

    Mar 2026 · agentmemory.md

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