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Products that do what Decispher Memory does

Memory for coding agents that learns how your team works

  1. 1DP

    Hello HN, I'm Ali, building Decispher. The problem we're working on is that coding agents repeatedly rediscover context that already exists inside an engineering organization. A developer working on a feature can combine information from previous PRs, Jira tickets, Slack discussions, ownership boundaries, architectural decisions and their own experience. Coding agents usually start with a prompt and a repository, then spend tokens searching for that same context—or miss it entirely. Decispher is a context and memory layer for engineering agents. It currently has three parts: 1) Context…

    6d ago

  2. 2
    Grov123

    Shared and synchronized AI memory + reasoning across teams

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    Persistent memory for AI coding agents

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    Repo-native memory for coding agents

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    Comprehensive memory management for Claude Code

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    Greplica186

    Self updating wiki for coding agents

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    PMB211

    Stop re-explaining your project to AI coding agents

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    GPS83

    Memory layer for LLMs that stores repo rules + past lessons

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    Memori168

    Persistent memory from agent trace, not just conversation

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    Actx0100

    Memory infrastructure for AI agents.

    16d ago · actx0.com

  11. 11

    Persistent, structured memory for AI Agents

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    Atlaso216

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  13. 13

    Your AI agents team, terminals, notes: one infinite canvas

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    Polygraph160

    Let AI agents see cross repo and maintain session memory.

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    pumaDB159

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    Compyle122

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    Mem Agent129

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    24d ago · get.mem.ai

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    The memory layer for AI agents

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    CogniMemo120

    AI that remembers, learns, and evolves

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  21. 21

    Memory infrastructure for AI coding agents

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  22. 22

    Enable agents to keep context & work across apps + sessions

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  23. 23

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

    Feb 2026

  24. 24DP

    devnexus is an open-source cli that gives agents persistent shared memory across repos, sessions, and engineers. It maps out dependencies and relations at the function level, builds a code graph, and writes it into a shared Obsidian vault that every agent reads before writing code. Past decisions are also linked directly to the code they touched, so no one goes down the same dead end twice. Still building it out but I would love to hear any thoughts/feedback

    Apr 2026 · github.com

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