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Alternatives

Products that do what PrismCortex does

Stop stale memory from poisoning agents

  1. 1

    Persistent memory for AI coding agents

    Apr 2026

  2. 2

    Repo-native memory for coding agents

    Jul 2026

  3. 3
    Spectron171

    Agent memory you can trust

    Jun 2026

  4. 4
    Memori168

    Persistent memory from agent trace, not just conversation

    May 2026

  5. 5

    Fastest cognitive memory for AI Agents

    Feb 2026

  6. 6

    Central Memory Layer For Dev Teams with Git-like System

    2025

  7. 7
    Cortex70

    Run multiple claude-code agents from YAML config

    Jan 2026

  8. 8
    Atlaso216

    One memory for every AI you use

    Aug 2026

  9. 9

    One memory across OpenClaw, ChatGPT, Claude & Gemini

    Feb 2026

  10. 10
    Memoriq130

    Your private AI memory for ChatGPT, Claude, Gemini and Grok

    Jun 2026

  11. 11

    Give your AI agents human-like memory

    Feb 2026

  12. 12

    Captures and stores your chat from various AI platforms

    Mar 2026

  13. 13
    Actx0100

    Memory infrastructure for AI agents.

    16d ago · actx0.com

  14. 14

    The memory layer that decides what's worth remembering

    13d ago · skynetlab-cortex.com

  15. 15

    Persistent, structured memory for AI Agents

    Jan 2026

  16. 16

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

    Feb 2026

  17. 17SA

    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

  18. 18CO

    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

  19. 19YP

    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

  20. 20PC

    Parallax is a CLI for orchestrating independent AI agent cohorts (Claude, Codex, etc.) over isolated, append-only logs or streams. Each cohort operates on its own log and does not see the intermediate reasoning of others i.e. disagreement is enforced at the infrastructure layer rather than prompted at runtime. Agents write to sequenced, durable logs and a separate moderator agent subscribes to all streams, monitors progress, issues steering instructions when necessary, and synthesizes outputs at the end. That means, coordination is just done over a log with natural language, which allows us…

    Mar 2026 · github.com

  21. 21MC

    Hi HN, I’ve been building AI agents and copilots, and kept running into a frustrating problem: they don’t fail loudly, they forget things quietly. Users re-explain preferences, agents contradict earlier responses, and context resets without any clear visibility into why. I built Memograph CLI as a debugging tool to analyze conversation transcripts and show: - what the agent forgot - where continuity broke - contradictions and repeated context - estimated token waste due to re-prompting It works locally and supports plain text or JSON transcripts. Example: $ memograph Output: Cognitive Drift…

    Feb 2026

  22. 22CO

    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

  23. 23MA

    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

  24. 24

    Memory for coding agents that learns how your team works

    4d ago · decispher.com

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