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Memmy

Freemium

Memmy is a local-first memory hub that unifies AI tool context for developers, knowledge workers.

36 visitors 14 hours ago

Are you tired of losing context as you switch between AI tools and conversations? Memmy provides a local-first memory hub that scans, organizes, and injects relevant memory into your workflows, so you stay productive.

Stop Wasting Time Rebuilding Context

With Memmy, your shared memory across tools becomes searchable, so decisions, preferences, and project context are always nearby.

Turn Conversations into Searchable Knowledge

By indexing AI chats locally, Memmy creates a fast reference for your team, reducing repetition and accelerating documentation, decisions, and planning. Memmy keeps control local with privacy controls and local storage.

Verification Options:

1.

Email Verification: Verify ownership through your domain email.

2.

File Verification: Place our file in your server.

After verification, you'll have access to manage your AI tool's information (pending approval).

Freemium plan available; no trial or money-back guarantee is specified.

Quick verdict

Based on 2 reviews

Read all reviews

Pros

  • Shared memory across AI tools to keep context consistent
  • Memory injection into future tasks to maintain relevance
  • Local-first storage preserves privacy

Cons

  • Deduplication isn't perfect for very large projects, leading to occasional duplicates or stale context
  • Initial setup to tag memories requires reading docs and some manual curation
  • CLI commands for memory injection can feel verbose for quick actions

Customer Reviews for Memmy

Overall Analytics

Comprehensive review insights and historical performance

Very Positive (2) 4.5/5 2 reviews 100% recommend โ€” Monthly growth

6-month timeline

Most helpful

Mia Martinez
Mia Martinez 0

I juggle code reviews, design docs, and AI chats across several tools. The hero feature - shared memory across AI tools - kept my project context consistent as I switch between a code assistant, a documentation bot, and a knowledge repo. Memory injection quietly feeds relevant context into future tasks, so I donโ€™t have to rebuild context every time. Itโ€™s all on-device, which fits my privacy rules, and the streaming sessions keep multi-step workflows moving. A few rough edges remain, but the payoff is real.

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Recent Review Statistics

Sentiment analysis and trends from the last Last 30 days

4.5/5
2 reviews
Very Positive (2) New reviews
Trend: Steady Velocity: 0.1/day Engagement: 0%
Velocity utilization 14%
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Showing 1 - 2 of 2 reviews .

User avatar for Mia Martinez

Mia Martinez

Trusted Reviewer
4.0
Recommends

Unified context across tools finally lets me ship faster

Used for week to month

What I liked

  • Shared memory across AI tools to keep context consistent
  • Memory injection into future tasks to maintain relevance
  • Local-first storage preserves privacy
  • Multi-session tasks & streaming enable real-time workflows

What could be better

  • Deduplication isn't perfect for very large projects, leading to occasional duplicates or stale context
  • Initial setup to tag memories requires reading docs and some manual curation
  • CLI commands for memory injection can feel verbose for quick actions

I juggle code reviews, design docs, and AI chats across several tools. The hero feature - shared memory across AI tools - kept my project context consistent as I switch between a code assistant, a documentation bot, and a knowledge repo. Memory injection quietly feeds relevant context into future tasks, so I donโ€™t have to rebuild context every time. Itโ€™s all on-device, which fits my privacy rules, and the streaming sessions keep multi-step workflows moving. A few rough edges remain, but the payoff is real.

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User avatar for Ava Rodriguez

Ava Rodriguez

Trusted Reviewer
5.0
Recommends

A practical memory hub that finally unifies my AI chatter

Used for 3-6 months

What I liked

  • Memory injection delivers relevant context into future tasks
  • Ability to merge plans from different AI agents into a single memory
  • Desktop app plus HTTP API enables automation and scripting
  • Memory scanning & dedup cleans up histories

What could be better

  • No per-project isolation causing cross-product leakage
  • Learning curve wiring the API into existing automations
  • Some slowdowns when the memory grows and search becomes heavier

I juggle several product efforts and rely on AI agents for planning and docs. The standout feature for me is memory injection that ships relevant context into future tasks, plus the ability to merge plans from different AI agents into a single memory. The desktop app and HTTP API let me automate routines, and memory scanning keeps histories clean. The big downside is no per-project isolation, so some cross-product leakage can happen, and wiring the API into our automations required some tinkering.

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How it works

How Memmy Works In 3 Steps?

  1. Step 1

    1. Install Memmy

    Download the Memmy desktop app or CLI and set up your local memory hub.

  2. Step 2

    2. Connect Tools

    Authorize Memmy and connect AI tools to shared memory for unified context.

  3. Step 3

    3. Start Automations

    Launch tasks from the workbench or API and let Memmy inject relevant memory.

Direct Comparison

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Memmy VS Mem

Memmy: Features, Advantages & FAQs

Explore everything you need to know about Memmy

Core Features
  • Local-first memory storage: Privacy-respecting on-device memory
  • Shared memory across AI tools: Consistent context across tools
  • Memory scanning & deduplication: Clean, searchable histories
  • Memory injection: Relevant context into future tasks
  • Multi-session tasks & streaming: Flexible, real-time workflows
  • Desktop app, CLI & HTTP API: Flexible access
Advantages
  • Local-first privacy, Shared memory across multiple AI tools, Rich tool integrations, Desktop app + CLI + API, Multi-session task support, Local SQLite storage
Use Cases
  • Keep preferences and project context synchronized
  • Turn conversations into searchable memory
  • Merge plans from different AI agents
  • Generate documentation from technical decisions
  • Maintain consistent writing preferences across multiple AI assistants
  • Use a desktop pet as an entry point
  • Connect external agents and scripts to shared memory via CLI or API
Best For
  • Software developers, AI engineers, Product managers, Knowledge workers, Technical writers, Data scientists, DevOps engineers

Integrations

Works with the tools you already use

Telegram, WeChat, Feishu, DingTalk, GitHub, Notion, Slack, MCP servers, Custom tools
Best For

Software developers, AI engineers, Product managers, Knowledge workers, Technical writers, Data scientists, DevOps engineers

Skill Level
Beginner-Friendly

Frequently Asked Questions

Developed by: Memmy Team

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