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AI · alternatives · 2026

24 alternatives to TencentDB Agent Memory

Agents remember. Humans innovate.

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1

    Let every AI remember the same you.

    Jul 2026 · memmy.bot · its alternatives →

  2. 2

    Persistent memory for Claude Code, Codex & coding agents

    May 2026 · agent-memory.dev · its alternatives →

  3. 3

    Memory infrastructure for AI coding agents

    Feb 2026 · askaibase.com · its alternatives →

  4. 4
    Memori▲168

    Persistent memory from agent trace, not just conversation

    May 2026 · memorilabs.ai · its alternatives →

  5. 5

    Persistent, structured memory for AI Agents

    Jan 2026 · mnexium.com · its alternatives →

  6. 6
    Actx0▲100

    Memory infrastructure for AI agents.

    Aug 2026 · actx0.com · its alternatives →

  7. 7

    One API for all documents your AI agents need

    Mar 2026 · querymemory.com · its alternatives →

  8. 8
    pumaDB▲159

    a small hosted memory layer for AI agents

    Jun 2026 · pumadb.ai · its alternatives →

  9. 9

    Local memory for AI agents to reuse work, spend fewer tokens

    Sep 2026 · github.com · its alternatives →

  10. 10

    A memory store that works across all of your AI agents.

    12d ago · make0.ai · its alternatives →

  11. 11

    Open Source Context Infrastructure for AI Agents

    May 2026 · ravbyte-ai.github.io · its alternatives →

  12. 12

    Repo-native memory for coding agents

    Jul 2026 · github.com · its alternatives →

  13. 13

    This is a project that I have been building for a while now, YourMemory is a solution to agentic memory which focuses on pruning of noise rather than hoarding of data. In the current state of agentic memory most of the context is stored in the form of a MD file or is derived through a RAG model where you store each and everything. Both of the solution leads to bloated context which does not optimize the usage of any tokens. In this system we only keep relevant data in our memory and prune all the unnecessary data. The relevance of a data is derived through multiple factors such as recall…

    Apr 2026 · yourmemoryai.vercel.app · its alternatives →

  14. 14

    Persistent memory for your AI agents

    May 2026 · its alternatives →

  15. 15

    AI memory layer for smarter agents

    2024 · memoripy.com · its alternatives →

  16. 16

    Custom AI agents for learning, life, and work

    2025 · smartboo.io · its alternatives →

  17. 17

    Hey HN! I'm Arindam, part of the team behind Memori (https://memori.gibsonai.com/). Memori adds a stateful memory engine to AI agents, enabling them to stay consistent, recall past work, and improve over time. With Memori, agents don’t lose track of multi-step workflows, repeat tool calls, or forget user preferences. Instead, they build up human-like memory that makes them more reliable and efficient across sessions. We’ve also put together demo apps (a personal diary assistant, a research agent, and a travel planner) so you can see memory in action. Current LLMs are stateless…

    2025 · github.com · its alternatives →

  18. 18

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

    Aug 2026 · pinglin.tw · its alternatives →

  19. 19

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

    Dec 2025 · github.com · its alternatives →

  20. 20

    A Persistent evolutionary memory layer for AI agents

    May 2026 · titanmemz.in · its alternatives →

  21. 21

    Make AI agents work like your team

    Jul 2026 · memory.inc · its alternatives →

  22. 22

    Shared, versioned memory for your agents and your team

    Apr 2026 · sense-lab.ai · its alternatives →

  23. 23MC

    Hi HN, I’ve been building AI agents and copilots, and kept running into a frustrating problem: they don’t fail loudly, they forget things quietly. Users re-explain preferences, agents contradict earlier responses, and context resets without any clear visibility into why. I built Memograph CLI as a debugging tool to analyze conversation transcripts and show: - what the agent forgot - where continuity broke - contradictions and repeated context - estimated token waste due to re-prompting It works locally and supports plain text or JSON transcripts. Example: $ memograph Output: Cognitive Drift…

    Feb 2026 · its alternatives →

  24. 24

    Shared memory, identity and tasks. Lower token costs.

    Apr 2026 · agentid.live · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →