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AI · alternatives · 2026

24 alternatives to Agent Memory System

Open Source Context Infrastructure for AI Agents

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

    Persistent memory for Claude Code, Codex & coding agents

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

  2. 2

    Persistent memory for AI coding agents

    Apr 2026 · contextpool.io · its alternatives →

  3. 3
    Memori▲168

    Persistent memory from agent trace, not just conversation

    May 2026 · memorilabs.ai · its alternatives →

  4. 4

    Memory infrastructure for AI coding agents

    Feb 2026 · askaibase.com · its alternatives →

  5. 5
    Actx0▲100

    Memory infrastructure for AI agents.

    Aug 2026 · actx0.com · its alternatives →

  6. 6

    One API for all documents your AI agents need

    Mar 2026 · querymemory.com · its alternatives →

  7. 7

    Enable agents to keep context & work across apps + sessions

    Jun 2026 · walrus.xyz · its alternatives →

  8. 8

    Build capable AI agents with memory & tools

    2025 · mistral.ai · its alternatives →

  9. 9

    Repo-native memory for coding agents

    Jul 2026 · github.com · its alternatives →

  10. 10
    pumaDB▲159

    a small hosted memory layer for AI agents

    Jun 2026 · pumadb.ai · its alternatives →

  11. 11

    Turn your work into AI agent memory, served over MCP

    May 2026 · contextberg.com · its alternatives →

  12. 12

    Hey HN, After using a bunch of agents, my friend and I noticed a major issue: an agent could spend a bunch of time solving a tricky task, but when the session ended all that knowledge vanishes. Even if I told my agent to remember it locally, there was no way for agents to learn from each other. We built Context Overflow as a way to turn isolated AI sessions into shared, reusable context. With Context Overflow, agents can: - Search through past solutions when starting a task - Ask questions when they get stuck - Share findings when they solve a non-trivial problem We support a variety of ways…

    Mar 2026 · ctxoverflow.dev · its alternatives →

  13. 13

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

    Aug 2026 · github.com · its alternatives →

  14. 14

    Portable context for every AI. Never explain yourself twice.

    Jun 2026 · ao2.ai · its alternatives →

  15. 15

    Markdown based AI agent memory with semantic search, hybrid retrieval, and offline-first sync between agents. - sqliteai/sqlite-memory

    Apr 2026 · github.com · its alternatives →

  16. 16

    Persistent memory for your AI agents

    May 2026 · its alternatives →

  17. 17

    AI memory layer for smarter agents

    2024 · memoripy.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
    Recall▲3

    Long-term memory for AI agents, visible to humans

    Jun 2026 · github.com · its alternatives →

  21. 21

    Hi HN, There’s been a lot of discussion lately around context graphs, decision traces, and how AI systems reason. One thing we kept running into: when AI agents make real decisions, the why behind those decisions often disappears. The context is scattered across prompts, tools, policies, and approvals. Logs show what happened, but not why it was allowed. TraceMem is an attempt to make decision context durable. It records the reasoning, authority, and context behind AI actions as a system of record, not as monitoring data, but as memory. Happy to share more details or answer questions. - Tommi

    Jan 2026 · tracemem.com · its alternatives →

  22. 22

    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 →

  23. 23

    Agents remember. Humans innovate.

    Sep 2026 · github.com · 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 →