nowfound

Alternatives

Products that do what Observational Memory by Mastra does

Give your AI agents human-like memory

  1. 1
    Memori168

    Persistent memory from agent trace, not just conversation

    May 2026

  2. 2
    CogniMemo120

    AI that remembers, learns, and evolves

    Dec 2025

  3. 3

    Persistent, structured memory for AI Agents

    Jan 2026

  4. 4

    Captures and stores your chat from various AI platforms

    Mar 2026

  5. 5

    Enable agents to keep context & work across apps + sessions

    Jun 2026

  6. 6

    AI that remembers and forgets like humans.

    Apr 2026

  7. 7

    Memory infrastructure for AI coding agents

    Feb 2026

  8. 8
    Mindspase151

    A visual AI knowledge base that organizes what you save

    Mar 2026

  9. 9
    Liminary146

    Ground your AI in saved knowledge as you work

    May 2026

  10. 10
    Actx0100

    Memory infrastructure for AI agents.

    16d ago · actx0.com

  11. 11

    Fastest cognitive memory for AI Agents

    Feb 2026

  12. 12
    Mengram108

    AI memory API with 3 types: facts, events, and workflows

    Feb 2026

  13. 13

    AI memory tool that lives where you work

    Jan 2026

  14. 14

    One API for all documents your AI agents need

    Mar 2026

  15. 15

    The memory layer for AI agents

    Jul 2026

  16. 16MR

    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

  17. 17YP

    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

  18. 18

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

    Feb 2026

  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. 20

    AI companion that remembers, learns, and grows with you

    Oct 2025

  21. 21
    Alora24

    Your user-controlled memory that syncs across AI tools

    2025

  22. 22CO

    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…

    2025 · github.com

  23. 23

    Agents remember. Humans innovate.

    4d ago · github.com

  24. 24CO

    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

Ranked by how close each launch is in meaning, then by votes. Refine with a description →