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Alternatives

Products that do what thred does

shared memory for decisions, revisions, and unfinished work

  1. 1
    Atlaso216

    One memory for every AI you use

    Aug 2026 · atlaso.ai

  2. 2

    Repo-native memory for coding agents

    Jul 2026 · github.com

  3. 3

    Persistent memory for AI coding agents

    Apr 2026

  4. 4

    Memory system for Cursor agents

    2025

  5. 5
    pumaDB159

    a small hosted memory layer for AI agents

    Jun 2026 · pumadb.ai

  6. 6

    Shared memory for Claude Code, Codex, Cursor & Grok

    13d ago · solenta.app

  7. 7

    Portable memory for agent workflows

    Apr 2026

  8. 8

    Persistent AI memory across Claude Desktop & Cursor IDE

    Oct 2025

  9. 9
    Memori168

    Persistent memory from agent trace, not just conversation

    May 2026

  10. 10

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

    Feb 2026

  11. 11
    PMB211

    Stop re-explaining your project to AI coding agents

    Jun 2026 · pmbai.dev

  12. 12
    N71141

    Give all your AI agents one shared context

    Jul 2026 · n71.ai

  13. 13

    Use Claude Code, Codex, and Gemini in parallel

    Mar 2026

  14. 14
    Grov123

    Shared and synchronized AI memory + reasoning across teams

    Dec 2025

  15. 15

    Comprehensive memory management for Claude Code

    Mar 2026

  16. 16
    Actx0100

    Memory infrastructure for AI agents.

    16d ago · actx0.com

  17. 17

    Enable agents to keep context & work across apps + sessions

    Jun 2026

  18. 18
    Orca89

    Your control center for parallel AI agents

    Apr 2026

  19. 19

    One API for all documents your AI agents need

    Mar 2026

  20. 20

    Local semantic search for AI agents

    30d ago · tryreference.com

  21. 21

    Shared execution memory for every AI agent in your org

    30d ago · semelbase.com

  22. 22

    Shared persistent memory across all your LLMs.

    Sep 2025

  23. 23

    Shared Memory for every AI tool you use

    12d ago · confluo.in

  24. 24UM

    I was frustrated that memory is usually tied to a specific tool. They’re useful inside one session but I have to re-explain the same things when I switch tools or sessions. Furthermore, most agents' memory systems just append to a markdown file and dump the whole thing into context. Eventually, it's full of irrelevant information that wastes tokens. So I built this local memory layer that unifies memory across agents. Instead of a flat file, it builds a structured knowledge graph of "memory notes" inspired by the paper "A-MEM: Agentic Memory for LLM Agents"…

    Apr 2026 · github.com

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