ChainMemory
Portable, verifiable memory for AI agents — works across ChatGPT, Claude, Gemini and any MCP client
FreeAI AgentsMCPBrowser Extension1,524 impressions#17 of its week1 comment
Comments
>log in to comment- PDFops· 4mo ago
The Merkle-anchored integrity angle is the right kind of paranoia — but in my experience the harder failure in shared agent memory isn't tampering, it's two agents each writing a "current state" that's internally valid and mutually stale. Curious how consolidation handles that: last-writer-wins, a CRDT-ish merge, or per-agent branches reconciled on read? That design choice ends up mattering more than the proofs.
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ChainMemory provides portable, verifiable, persistent memory for AI agents across models via Chrome extension, MCP server, or REST API.
- for
- Developers building AI agents that need cross-model context and audit-ready memory.
- pricing
- freemium
Key features
- Cross-model portability — Save memories in one model (e.g., ChatGPT) and recall them in others like Claude or Gemini.
- Cryptographic verification — Each memory gets a hash and project states are anchored with Merkle proofs for immutable integrity.
- Project Brain — Aggregates memories into a structured, queryable project state with decisions, milestones and risks.
- Multi-agent native support — Multiple agents share a single consolidated state with full attribution.
- Chrome extension & MCP server — One-click saving from chat windows or direct integration via MCP for any client.
- REST API & SDKs — Full API and Node.js/Python/Go SDKs to save, search, inject context and verify states programmatically.
Use cases
- Persist project decisions across ChatGPT, Claude and Gemini sessions
- Provide auditable AI decision trails for regulators or reviewers
- Share a common project state among multiple autonomous agents in a team
ChainMemory vs alternatives
 ChainMemory |  LangChain |  CrewAI |  LlamaIndex |  Smithery | |
|---|---|---|---|---|---|
| Best for | Cross-model verifiable AI memory | LLM app framework | Multi-agent workflow platform | LLM data indexing | MCP server discovery |
| Pricing | Freemium | Free | Subscription | Free | Free |
| DevHunt upvotes | 1 | 0 | 0 | 0 | 0 |
| Launched | Jul 2026 | — | — | — | — |
- ChainMemory vs LangChain: LangChain is a developer framework for building LLM apps, not a persistent memory service.
- ChainMemory vs CrewAI: CrewAI focuses on orchestrating multi-agent workflows, whereas ChainMemory stores and verifies shared memory.
- ChainMemory vs LlamaIndex: LlamaIndex provides data indexing for LLMs, not cross-model verifiable memory with blockchain anchoring.
- ChainMemory vs Smithery: Smithery is a registry for MCP servers; ChainMemory is an MCP-compatible memory layer with verification.
ChainMemory FAQ
Are my memories really owned by me?+
Yes, memories are linked to your API key, can be exported, migrated or deleted, and are never sold to third parties.
Does ChainMemory work with any AI model?+
It is model-agnostic and works with ChatGPT, Claude, Gemini, Perplexity, Copilot and any MCP-compatible client.
What is a “state fingerprint”?+
Each time a project state changes, a cryptographic hash is generated, enabling immutable audit trails and verification.
What happens to my data if I cancel my subscription?+
Your memories remain accessible under the Free tier limits; no data is deleted and accumulated credits stay in your account.
What are AIC credits?+
Plan credits are used for monthly operations (injects, anchoring, audits); “gift” credits accumulate month-to-month and never expire.
Summarized by DevHunt from chainmemory.ai · Oct 5, 2026. Details may change; check the official site.
