ChainMemory
Portable, verifiable memory for AI agents — works across Cha
ChainMemory gives your AI agents persistent memory that belongs to YOU — 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 — 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.
Features
• Cross-model memory — save in ChatGPT, recall in Claude, Gemini, Perplexity or Copilot
• MCP server for Claude Desktop, Cursor and any MCP client (npm)
• Chrome extension with one-click save and context injection
• Project Brain — consolidates memories into structured state (decisions, milestones, risks)
• Cryptographic verification — Merkle proofs, independently verifiable
• REST API + Python SDK (PyPI) + JS SDK (npm)
• Semantic search across all memories
• Free tier
Use Cases
• Developers keeping project context alive across AI coding sessions
• Teams where Claude, Cursor and GPT collaborate on the same project
• Switching AI providers without losing your accumulated context
• Compliance-heavy environments that need auditable AI decision trails
• Agents that need persistent, verifiable long-term memory
Comments
Hey Fazier! Founder here. I built ChainMemory out of frustration: every AI conversation starts from zero, and everything your agents learn is locked inside a single vendor. ChainMemory makes AI memory portable (save in ChatGPT, recall in Claude or Gemini — extension, MCP server, or API) and verifiable: every memory gets a cryptographic fingerprint, so you can independently prove your data hasn't been altered. No trust required. The part I'm most proud of is the Project Brain: instead of a pile of raw notes, memories consolidate into a structured project state — decisions, milestones, risks — that any of your AI agents can load in one call. Happy to answer anything about the architecture, the memory consolidation engine, or why we think memory should belong to users, not platforms. Feedback very welcome!
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Comments
Hey Fazier! Founder here. I built ChainMemory out of frustration: every AI conversation starts from zero, and everything your agents learn is locked inside a single vendor. ChainMemory makes AI memory portable (save in ChatGPT, recall in Claude or Gemini — extension, MCP server, or API) and verifiable: every memory gets a cryptographic fingerprint, so you can independently prove your data hasn't been altered. No trust required. The part I'm most proud of is the Project Brain: instead of a pile of raw notes, memories consolidate into a structured project state — decisions, milestones, risks — that any of your AI agents can load in one call. Happy to answer anything about the architecture, the memory consolidation engine, or why we think memory should belong to users, not platforms. Feedback very welcome!
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