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Supermemory VS ChainMemory

Compare Supermemory VS ChainMemory and see what are their differences

JackHamr
AI agents that spec, build, test, and ship code โ€” with voice chat, deep GitHub integration, and zero LLM markup. featured
Contents:
  1. ยป Base Details
  2. ยป Reviews
  3. ยป Alternatives

Supermemory logo Supermemory

ai second brain for all your saved stuff

ChainMemory logo ChainMemory

Portable, verifiable memory for AI agents โ€” works across ChatGPT, Claude, Gemini and any MCP client
Not present
  • ChainMemory
    Image date //
    2026-07-02
  • ChainMemory
    Image date //
    2026-07-02
  • ChainMemory
    Image date //
    2026-07-02

ChainMemory gives your AI agents persistent memory that belongs to YOU โ€” not to a single vendor.

Save a memory in ChatGPT, recall it in Claude or Gemini. Available via Chrome extension, MCP server (npm), or REST API. Every memory gets a cryptographic fingerprint and project states are anchored with Merkle proofs, so anyone can independently verify integrity โ€” no trust required.

Memories consolidate into a structured Project Brain (decisions, milestones, risks) instead of a pile of raw notes. Multi-agent native: Claude, Cursor and GPT share one consolidated state. Free tier available.

Supermemory features and specs

No features have been listed yet.

ChainMemory features and specs

  • Cross-model memory
    Save in ChatGPT, recall in Claude, Gemini, Perplexity or Copilot
  • MCP Server
    Native integration with Claude Desktop, Cursor and any MCP client (npm)
  • Chrome Extension
    One-click save and context injection on any AI chat
  • Project Brain
    Consolidates memories into structured state: decisions, milestones, risks
  • Cryptographic Verification
    Merkle proofs + on-chain anchoring โ€” independently verifiable
  • REST API
    Full backend control with per-project API keys
  • Semantic Search
    Fast semantic recall across all your memories
  • Multi-Agent Support
    Claude, Cursor and GPT share one project state with attribution

Analysis of Supermemory

Overall verdict

  • Supermemory is a solid tool for building a personal or organizational knowledge base, offering an effective way to save, organize, and retrieve information from across the web using AI-powered search and recall.

Why this product is good

  • AI-powered semantic search lets you retrieve saved content by meaning rather than exact keywords
  • Easily capture bookmarks, articles, tweets, notes, and other web content into a unified knowledge hub
  • Acts as a 'second brain' that helps you connect and rediscover previously saved information
  • Offers integrations and a browser extension for frictionless capture of content
  • Useful for chatting with your own saved knowledge base via an AI interface

Recommended for

  • Researchers and students who collect and reference large amounts of information
  • Content creators and writers who need to organize inspiration and source material
  • Knowledge workers wanting a personal 'second brain' for productivity
  • Developers building AI apps that need a memory or knowledge layer
  • Anyone who bookmarks heavily and struggles to find saved content later

Category Popularity

0-100% (relative to Supermemory and ChainMemory)

Supermemory

ChainMemory

AI
91 91%
AI
9% 9
Developer Tools
89 89%
Developer Tools
11% 11
Productivity
89 89%
Productivity
11% 11
API Tools
0 0%
API Tools
100% 100

User comments

Share your experience with using Supermemory and ChainMemory. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Supermemory seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Supermemory mentions (3)

  • Building an autonomous Slack agent with OpenCode
    Memory. I use Supermemory for this. Before, Pipa loaded context files and knew to update them. A memory tool adds teammate-like recall: goals, preferences, latest business state, and small details that should carry across runs. Good memory tools also know how to supersede and delete memories, which matters once the agent has more autonomy. - Source: dev.to / 24 days ago
  • Build a Real-Time Voice RAG Agent for Your Documentation
    We wire everything up with Vision Agents as the voice agent framework, Stream for WebRTC audio and video, OpenAI Realtime for speech in and speech out, Anam so the agent shows up as a face on the video, and Supermemory so answers come from search over your uploaded documents instead of guesswork. The code stays small and most of the behavior lives in one registered function that asks the memory store for relevant... - Source: dev.to / about 2 months ago
  • Ask HN: What are you working on (August 2024)?
    My friends and I are working on https://supermemory.ai, an AI second brain to help you remember content from saved webpages and notes. - Source: Hacker News / almost 2 years ago

ChainMemory mentions (0)

We have not tracked any mentions of ChainMemory yet. Tracking of ChainMemory recommendations started around Jul 2026.

What are some alternatives?

When comparing Supermemory and ChainMemory, you can also consider the following products

Mem - Capture and access information from anywhere

Pinecone - Search through billions of items for similar matches to any object, in milliseconds. Itโ€™s the next generation of search, an API call away.

OpenMemory - Give AI agents long-term memory.

Memo.ai - Simple and elegant notes app on your Mac

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

Agentmemory - Persistent memory for Claude Code, Codex & coding agents

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