The Intelligence Layer
for Robinhood Chain
Mnemos helps you understand markets, research protocols, analyze tokens, monitor on-chain activity, and coordinate AI agents — through one unified intelligence layer.
›
•Understanding your request
•Consulting live sources
•Cross-referencing memory
context retained
4 sources · DexScreener · GeckoTerminal · RPC
Capabilities
Built for serious on-chain intelligence
A complete command center for agent-driven research and market analysis — engineered like a professional trading terminal, not a chatbot.
Live Market Intelligence
Real-time token prices, liquidity, and volume across Robinhood Chain — read directly from on-chain and DEX sources, never estimated.
On-Chain Discovery
Surface newly deployed contracts, active addresses, and emerging tokens the moment they move — grounded in sampled blocks.
Persistent AI Memory
Every finding, preference, and observation is retained, so each analysis builds on the last instead of starting cold.
Deep Intelligence Research
Multi-source investigations that reason across chain data, markets, and the web — every claim cited, nothing invented.
Executive Intelligence Reports
Structured, exportable briefs composed from grounded analysis — ready to share, with sources attached.
Autonomous AI Agents
Specialist agents for research, markets, on-chain analysis, and risk — coordinated by one orchestrator, powered by Virtuals Protocol.
Why Mnemos
Intelligence that compounds
“Mnemos” is the Greek embodiment of memory. The console retains every finding, so each analysis builds on the last — turning one-off answers into a growing base of on-chain intelligence.
- Research findings
- Market context
- Watched assets
- Agent observations
- Generated reports
- Session preferences
Risk tolerance preference
preference
Top liquidity pool finding
research
Volume rotation pattern
research
Contract verification note
observation
Agents
A team of specialist intelligence agents
Each agent owns a domain — research, markets, on-chain, risk — and reports into the Mnemos Orchestrator, powered by Virtuals Protocol.
Mnemos Orchestrator
Routing & coordination
Routes each request to an internal agent, assembles stored memory and real Robinhood Chain data into grounded context, and combines the result into a single answer.
Chain Analyst
Network activity analysis
Reads real blocks and transactions from Robinhood Chain via RPC and explains observed network activity.
Research Agent
Grounded research
Produces research grounded strictly in the currently integrated sources: Robinhood Chain RPC data and stored Mnemos memory.
Discovery Agent
On-chain activity detection
Detects unusual changes in real Robinhood Chain activity — active addresses, contract interactions and transaction frequency.
Risk Observer
Uncertainty & limitations
Identifies uncertainty, missing data and the limits of the current integrations, and attaches explicit limitations to every answer.
Report Composer
Report structuring
Structures grounded findings into a stored, exportable report.
How it works
From question to grounded answer
Every request flows through a transparent reasoning pipeline — provider by provider, source by source — that you can inspect end to end.
Prompt
You ask a question
Agent Routing
Mnemos selects agents
Tool Execution
Agents run tools
Memory
Findings persist
Report
You get a result
Put an intelligence engine
on Robinhood Chain.
Launch the console and put a team of specialist AI agents to work on live Robinhood Chain intelligence — no wallet, no sign-up.
Launch Mnemos