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Products that do what Cognee – Open-Source AI Memory Layer That Remembers Context does

Hey HN! We're Vasilije, Laszlo and Lazar, the authors of a new paper and part of https://www.cognee.ai. cognee let’s you build memory layers for AI applications and agents, allowing them to personalize results, connect various data sources, and add custom rules. This enables AI apps to deliver increasingly accurate responses, we reached almost 90% on standard industry benchmarks as you can see here https://github.com/topoteretes/cognee/tree/main/evals and our paper can be accessed at: https://arxiv.org/abs/2505.24478 and collab…

  1. 1CT

    Hey there HN! We’re Vasilije, Boris, and Laszlo, and we’re excited to introduce cognee, an open-source Python library that approaches building evolving semantic memory using knowledge graphs + data pipelines Before we built cognee, Vasilije(B Economics and Clinical Psychology) worked at a few unicorns (Omio, Zalando, Taxfix), while Boris managed large-scale applications in production at Pera and StuDocu. Laszlo joined after getting his PhD in Graph Theory at the University of Szeged. Using LLMs to connect to large datasets (RAG) has been popularized and has shown great promise.…

    2025 · github.com

  2. 2

    Persistent memory for AI coding agents

    Apr 2026

  3. 3
    CogniMemo120

    AI that remembers, learns, and evolves

    Dec 2025

  4. 4

    AI memory tool that lives where you work

    Jan 2026

  5. 5
    Memori168

    Persistent memory from agent trace, not just conversation

    May 2026

  6. 6
    Atlaso216

    One memory for every AI you use

    Aug 2026 · atlaso.ai

  7. 7

    Captures and stores your chat from various AI platforms

    Mar 2026

  8. 8

    Give your AI agents human-like memory

    Feb 2026

  9. 9

    The memory layer that decides what's worth remembering

    13d ago · skynetlab-cortex.com

  10. 10

    Comprehensive memory management for Claude Code

    Mar 2026

  11. 11

    Persistent, structured memory for AI Agents

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  12. 12

    The memory layer for AI agents

    Jul 2026 · kitforai.com

  13. 13
    Papr113

    Predictive memory and context intelligence API for AI Agents

    Dec 2025

  14. 14

    Enable agents to keep context & work across apps + sessions

    Jun 2026

  15. 15
    Actx0100

    Memory infrastructure for AI agents.

    16d ago · actx0.com

  16. 16

    Persistent AI memory across Claude Desktop & Cursor IDE

    Oct 2025

  17. 17

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

    Feb 2026

  18. 18

    Shared persistent memory across all your LLMs.

    Sep 2025

  19. 19SA

    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

  20. 20CO

    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

  21. 21MA

    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

  22. 22

    AI companion that remembers, learns, and grows with you

    Oct 2025

  23. 23HP

    Hi HN! I'm building Hopsule. If you use AI coding tools like Cursor, Copilot, or Claude, you’ve probably seen this happen: The AI writes good code - but it ignores your architecture. It doesn’t know: - why you chose a specific pattern - which conventions your team agreed on - which decisions are already locked in So it falls back to generic patterns, outdated examples, or random GitHub training data. Over time this slowly breaks the consistency of the codebase. Most teams try to fix this with: - giant Markdown files - wiki pages - long prompts - Slack threads But those aren't…

    Mar 2026

  24. 24MA

    Hello there HN I experimented with agentic coding recently and I felt the need to track more contextual data by project. Also I felt the need to be able to go beyond the 1D chat to communicate with agents. So I created a local document memory, that is discoverable by agents themselves. The CLI is designed to be easy to pick up by agents. It allows humans to collaborate too by reading / searching / editing documents in the store. I have a Mac native GUI in the review process, I hope it will show up in the App Store soon. You can try it easily, instructions here:…

    Jun 2026 · metabrain.eu

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