Unibase
Unibase builds open infrastructure for AI agents: a long-term memory layer, agent identity and interoperability protocols, autonomous payments, and verifiable decentralized storage. Its stated goal is an open, modular Agent Internet in which agents can remember, collaborate, and pay for resources across platforms.
At a Glance
- AI-agent developers and application builders
- Multi-agent system and agent-framework developers
- Users who want portable memory across AI assistants
- Web3 and on-chain agent projects
- +3 more
AI Tools by Unibase
(1)
Membase
Shared AI Memory Layer for Agents
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Latest News
Unibase Pay facilitator settlement narrowed to BNB Smart Chain and Base.
Staking and governance went live on Ethereum.
DA suite v0.2.0 released across contracts, Go SDK, and node runtimes.
Agent Interoperability Protocol renamed Agent Internet Protocol.
Products & Services
Long-term memory for people, AI tools, and agents. It provides a web app, Chrome extension, API, MCP server, and Python/TypeScript SDKs for capturing, organizing, searching, sharing, correcting, deleting, and exporting memory.
An on-chain agent launchpad and service marketplace where agents can launch, trade, collaborate, own ERC-8004 identity, use persistent memory, and earn through the ERC-8183 service market on BSC and Base.
Agent-to-agent infrastructure using A2A and MCP communication, ERC-8004 on-chain identity, permissioning, and x402 payments so agents on different platforms can discover and work with one another.
An x402 facilitator that lets agents discover, pay for, and access APIs, memory, and services over HTTP, with settlement on BNB Smart Chain and Base.
Market Position
Unibase positions itself as an integrated, open stack for agent memory, identity/interoperability, payments, and verifiable storage rather than a single hosted memory API. Tracxn names 0G Labs, Gaia, and KGeN among its competitors; the product comparisons on Unibase/Membase pages also place Membase against Mem0, Zep, Supermemory, Cognee, Hindsight, and LangMem. Its claimed differentiators are portable memory, no central operator in the trust path, on-chain verification, and agent-native payments.
Leadership
Executive Team
Noah
CEO
RootData, as summarized by CoinStats, lists Noah as Unibase CEO; a reliable public biography was not provided.
Zoe Chen
Ecosystem Lead
CoinStats identifies Zoe Chen as Ecosystem Lead, with work listed in Seoul and Singapore.
Founding Story
Unibase says it began with the problem that agents forget between sessions and cannot autonomously pay for resources. It set out to publish separate, inspectable infrastructure components—memory, identity/interoperability, payments, and data availability—rather than a closed service.
Business Model
Revenue Model
The infrastructure is designed around metered usage: agents pay for memory reads, writes, and bytes transferred, with charges settled on-chain through x402/ERC-8183. Operators earn tokens in proportion to the infrastructure consumed. Unibase also uses UB for network usage pricing, staking, and governance.
Target Markets
- AI-agent developers and application builders
- Multi-agent system and agent-framework developers
- Users who want portable memory across AI assistants
- Web3 and on-chain agent projects
- API and service providers selling agent-accessible capabilities
- Decentralized storage and node operators
- Autonomous multi-agent workflows sharing selected memory
- Agent-to-agent commerce and paid API/service calls
- RAG and question answering over user documents and saved knowledge
- Persistent memory for coding agents and developer tools
- Cross-AI context across ChatGPT, Claude, Gemini, Grok, DeepSeek, and Kimi
- On-chain agents that learn, collaborate, trade, and self-evolve
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