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AI · alternatives · 2026

24 alternatives to Memoripy

AI memory layer for smarter agents

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Memoripy launched in 2024; newer entries below may have overtaken it.

  1. 1

    Hey HN! I built Memoripy, a memory layer for AI that adds short-term, long-term, and semantic memory capabilities to enhance LLM applications. It helps AI systems retain and prioritize past interactions, adapt over time, and respond with greater context and personalization. Memoripy uses semantic clustering to retrieve relevant memories, along with adaptive memory decay and reinforcement, so interactions stay fresh and context-aware. It’s designed for easy integration with OpenAI, Ollama, and other platforms—giving your AI applications dynamic memory management with minimal setup. Would love…

    2024 · github.com · its alternatives →

  2. 2
    Memori▲168

    Persistent memory from agent trace, not just conversation

    May 2026 · memorilabs.ai · its alternatives →

  3. 3
    cognee▲382

    Memory for AI Agents in 5 lines of code

    2025 · cognee.ai · its alternatives →

  4. 4

    Persistent memory for Claude Code, Codex & coding agents

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

  5. 5
    Memo.AI▲255

    The wiki that's always up-to-date

    2017 · memo.ai · its alternatives →

  6. 6

    Memory infrastructure for AI coding agents

    Feb 2026 · askaibase.com · its alternatives →

  7. 7

    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 →

  8. 8
    Actx0▲100

    Memory infrastructure for AI agents.

    Aug 2026 · actx0.com · its alternatives →

  9. 9

    Captures and stores your chat from various AI platforms

    Mar 2026 · ai-memory-beta.vercel.app · its alternatives →

  10. 10

    Most AI agents forget everything between sessions. We built DeltaMemory to fix that. It's a cognitive memory layer that gives agents persistent recall, automatic fact extraction, and temporal reasoning — via a single SDK call. Key numbers: - 89% accuracy on LoCoMo long-term conversation benchmark - 50ms p50 retrieval latency - 97% cost reduction vs raw token re-processing Open source SDKs, works with any LLM stack. Currently in early access. Happy to answer questions about the architecture, benchmark methodology, or how we handle knowledge graphs.

    Feb 2026 · deltamemory.com · its alternatives →

  11. 11

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

    Feb 2026 · memories.sh · its alternatives →

  12. 12

    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 →

  13. 13

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

    6d ago · make0.ai · its alternatives →

  14. 14

    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 →

  15. 15

    Enable agents to keep context & work across apps + sessions

    Jun 2026 · walrus.xyz · its alternatives →

  16. 16

    Persistent, structured memory for AI Agents

    Jan 2026 · mnexium.com · its alternatives →

  17. 17

    Open Source Context Infrastructure for AI Agents

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

  18. 18

    OpenMemory Chrome Extension: Long-term memory for ChatGPT, Claude, Perplexity, Grok etc - mem0ai/mem0-chrome-extension

    2024 · github.com · its alternatives →

  19. 19

    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 →

  20. 20YP

    It's an biological inspired decay system for our memories with extended support of temporal reasoning. Created a CLI command to infer knowledge from the context stored in memory system without any token utilization or llm call. It comes with a memory dashboard to monitor and manage your memories it can be extended as audit trail for agents as well !

    May 2026 · its alternatives →

  21. 21

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

    Dec 2025 · github.com · its alternatives →

  22. 22

    Tired of AI coding tools that forget everything between sessions? Every time I open a new chat with Claude or fire up Copilot, I'm back to square one explaining my codebase structure. So I built something to fix this. It's called In Memoria. Its an MCP server that gives AI tools persistent memory. Instead of starting fresh every conversation, the AI remembers your coding patterns, architectural decisions, and all the context you've built up. The setup is dead simple: `npx in-memoria server` then connect your AI tool. No accounts, no data leaves your machine. Under the hood it's TypeScript +…

    2025 · github.com · its alternatives →

  23. 23

    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 →

  24. 24

    Memora gives AI the ability to recall memories during interactions, just like humans do subconsciously. For now, it’s just text-based memories, but our vision extends to the full spectrum of human memory: emotions, audio, video. Key Features: Built-in multi-tenancy for managing multiple organizations, users, and agents. Time-stamped memories to track how information evolves over time. Scalable, modular, and developer-friendly design. GitHub: https://github.com/ELZAI/memora Install: pip install memora-core We’re looking for feedback and contributions, let’s change how we…

    2025 · github.com · 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 →