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AI · alternatives · 2026

24 alternatives to Hippo, biologically inspired memory for AI agents

Biologically-inspired memory for AI agents. Decay, retrieval strengthening, consolidation. Zero dependencies. - kitfunso/hippo-memory

Hippo is a memory system for AI agents inspired by biological memory processes. It enables agents to store, retrieve, and learn from past interactions in ways that mimic how brains organize information. The system is… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier.

  1. 1
    Memori▲168

    Persistent memory from agent trace, not just conversation

    May 2026 · memorilabs.ai · its alternatives →

  2. 2
    Reflexiofree tier, from $299/mo▲295

    Behavioral learning that makes AI agents better over time

    Sep 2026 · reflexio.ai · its alternatives →

  3. 3
    Evo 2▲225

    A foundation model for genomic understanding

    2025 · blogs.nvidia.com · its alternatives →

  4. 4

    Most RAG setups fail because they treat memory like a static filing cabinet. When every transient bug fix or abandoned rule is stored forever, the context window eventually chokes on noise, spiking token costs and degrading the agent's reasoning. This implementation experiments with a biological approach by using the Ebbinghaus forgetting curve to manage context as a living substrate. Memories are assigned a "strength" score where each recall reinforces the data and flattens its decay curve (spaced repetition), while unused data eventually hits a threshold and is pruned. To solve the…

    Apr 2026 · github.com · its alternatives →

  5. 5

    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 →

  6. 6

    Enable agents to keep context & work across apps + sessions

    Jun 2026 · walrus.xyz · its alternatives →

  7. 7

    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 →

  8. 8

    Hey HN! I built a proof-of-concept for AI memory using Git instead of vector databases. The insight: Git already solved versioned document management. Why are we building complex vector stores when we could just use markdown files with Git's built-in diff/blame/history? How it works: Memories stored as markdown files in a Git repo Each conversation = one commit git diff shows how understanding evolves over time BM25 for search (no embeddings needed) LLMs generate search queries from conversation context Example: Ask "how has my project evolved?" and it uses git diff to show actual…

    2025 · github.com · its alternatives →

  9. 9

    Local predictive memory for AI agents

    May 2026 · github.com · its alternatives →

  10. 10

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

    Feb 2026 · memories.sh · its alternatives →

  11. 11
    CogniMemo▲120

    AI that remembers, learns, and evolves

    Dec 2025 · app.cognimemo.com · its alternatives →

  12. 12

    Hi HN! We're excited to share marimo pair [1] [2], a toolkit that drops AI agents into a running marimo notebook [3] session. This lets agents use marimo as working memory and a reactive Python runtime, while also making it easy for humans and agents to collaborate on computational research and data work. GitHub repo: https://github.com/marimo-team/marimo-pair Demo: https://www.youtube.com/watch?v=6uaqtchDnoc marimo pair is implemented as an agent skill. Connect your agent of choice to a running notebook with: /marimo-pair pair with me on…

    Apr 2026 · github.com · its alternatives →

  13. 13

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

    13d ago · make0.ai · its alternatives →

  14. 14

    Memory infrastructure for AI coding agents

    Feb 2026 · askaibase.com · its alternatives →

  15. 15

    Custom AI agents for learning, life, and work

    2025 · smartboo.io · its alternatives →

  16. 16

    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 →

  17. 17

    Vector databases store memories. They don't manage them. After 10k memories, recall quality degrades because there's no consolidation, no forgetting, no conflict resolution. Your AI agent just gets noisier. YantrikDB is a cognitive memory engine — embed it, run it as a server, or connect via MCP. It thinks about what it stores: consolidation collapses duplicate memories, contradiction detection flags incompatible facts, temporal decay with configurable half-life lets unimportant memories fade like human memory does. Single Rust binary. HTTP + binary wire protocol. 2-voter + 1-witness HA…

    Apr 2026 · github.com · its alternatives →

  18. 18

    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 →

  19. 19

    Local, gradient-free neuro-symbolic memory engine combining Hyperdimensional Computing (HDC/VSA), Hebbian plasticity, and graph triples for offline AI. - roandejager/Hillock

    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

    AI memory layer for smarter agents

    2024 · memoripy.com · its alternatives →

  22. 22

    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 →

  23. 23

    Hybrid AI Memory: Vector RAG meets Knowledge Graphs

    Apr 2026 · github.com · its alternatives →

  24. 24

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

    Dec 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 →