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Alternatives

Products that do what I made an open-source memory layer for agents does

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

  1. 1
    cognee382

    Memory for AI Agents in 5 lines of code

    2025

  2. 2

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

    24d ago · github.com

  3. 3

    Memory infrastructure for AI coding agents

    Feb 2026

  4. 4

    The memory layer for AI agents

    Jul 2026 · kitforai.com

  5. 5

    The memory layer that decides what's worth remembering

    13d ago · skynetlab-cortex.com

  6. 6WM
  7. 7MM

    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…

    Jul 2026 · github.com

  8. 8

    An agent that remembers across sessions can keep its memory as curated markdown files, as an auto-mined structured store, or as trained experience.

    22d ago · pinglin.tw

  9. 9

    One layer for memories, skills, and rules across any agent

    Feb 2026

  10. 10

    Open Source Context Infrastructure for AI Agents

    May 2026 · ravbyte-ai.github.io

  11. 11MG

    I built a governed memory layer for AI assistants with deletion compaction, vector purge verification, tenant isolation, and audit evidence.

    Jun 2026 · github.com

  12. 12CS
  13. 13

    Memory + judgment for AI coding agents (local, MIT)

    May 2026 · projectmem.dev

  14. 14

    Source-cited memory for AI agents

    11d ago · neurakeep.com

  15. 15

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

    May 2026 · totalmemory.dev

  16. 16
    Recall3

    Long-term memory for AI agents, visible to humans

    Jun 2026 · github.com

  17. 17IO
  18. 18

    Stop repeating yourself to every AI | Open Source

    Feb 2026

  19. 19OY

    Hey HN, I pay for ChatGPT, Claude, Cursor, and use Gemini through work. Four vendors, four separate conversation histories, four profiles of how I think. None of them talk to each other. Switch providers and you start over. So I built a system where the memory is mine. I run a knowledge graph in Postgres (Supabase, free tier) with pgvector for semantic search. A small MCP server reads and writes to it. That server sits behind an MCP Gateway on a $6/month VPS, along with Brave Search and a GitHub server. TypingMind connects to the gateway as a BYOK client -- any model, any device, same…

    Mar 2026 · github.com

  20. 20SA

    I built Syne because I was tired of AI assistants that forget everything after each conversation. Syne is a self-hosted AI agent framework where memory is a first-class citizen — stored as semantic vectors in PostgreSQL, searchable across millions of entries, and persistent forever. Key features: - Unlimited persistent memory with semantic search (pgvector) - Anti-hallucination: only stores user-confirmed facts, auto-deduplicates - Self-evolving: creates new abilities at runtime without restart - Multi-model: switch between Gemini, ChatGPT, Claude mid-conversation - True $0/month setup:…

    Feb 2026

  21. 21

    Open, local-first memory for AI agents (with dreaming)

    Jun 2026 · pylit.ai

  22. 22MV
  23. 23OS

    May 2026 · 49agents.com

  24. 24CO

    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

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