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FlowForge

Personal AI DeFi agent: one place to design, deploy, and execute intelligent on-chain workflows through natural language.

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Description

FlowForge
Personal AI DeFi Agent on Arbitrum

Vist here

FlowForge is a personal AI agent that makes interacting with DeFi on Arbitrum as simple as sending a message. Instead of navigating multiple dApps, dashboards, and contracts, users describe what they want in plain English, and the agent handles reasoning, workflow construction, monitoring, and execution.

FlowForge combines:

  • AI reasoning

  • On-chain execution

  • Oracle-based condition monitoring

  • Secure smart wallet infrastructure

All inside a single automated workflow.


The Problem

DeFi on Arbitrum offers deep liquidity and strong yields through protocols like:

  • Uniswap

  • Aave

  • Compound

But usability remains a major barrier:

  • Users must navigate multiple interfaces.

  • Automation requires bots or custom scripts.

  • Monitoring prices and conditions is manual.

  • AI is not natively connected to on-chain execution.

DeFi remains powerful; but not accessible.


The Solution

FlowForge turns DeFi into a conversational experience.

Users message their agent on Telegram:

“Swap my USDC to ETH if the price drops below 2000.”

The agent:

  1. Understands intent.

  2. Constructs a workflow.

  3. Connects required DeFi protocols.

  4. Monitors price conditions via oracles.

  5. Executes the transaction automatically.


Core Architecture

AI Layer

  • Intent parsing and structured action planning.

  • Deterministic inference powered by EigenAI.

  • Workflow reasoning rather than static rule execution.

Secure Execution

  • Runs inside EigenCompute secure enclaves.

  • Hardware-isolated environment.

  • Dedicated cryptographic identity and wallet per agent.

Wallet & Transaction Layer

  • Smart wallet execution via Safe.

  • Verifiable and non-custodial.

Oracle & Market Data

  • Price feeds via Chainlink.

  • Additional feeds from Pyth Network.


What Users Can Do

  • Conditional swaps

  • Automated lending strategies

  • Price-triggered reallocations

  • AI-driven execution flows

  • Telegram-native DeFi interaction

No dashboards. No manual monitoring. No scripting.


Progress During Buildathon

The focus of this hackathon was transforming FlowForge from a visual workflow automation platform into a fully operational AI-driven DeFi agent on Arbitrum.

1. Built and Deployed a Live Telegram AI Agent

We implemented and deployed a production-ready agent accessible via Telegram.

Key capabilities implemented:

  • Natural language → structured workflow translation.

  • Intent parsing into executable DeFi actions.

  • Multi-step reasoning for compound tasks (e.g., conditional swap → lending allocation).

  • Conditional logic support (price-based triggers using oracle feeds).

The agent is live and usable today alongside the existing web app.

This is not a mock or demo - users can send real instructions and trigger real on-chain execution.

Each agent instance runs with:

  • Hardware-isolated execution via EigenCompute.

  • A unique cryptographic identity per agent.

  • A dedicated execution environment.

  • Deterministic AI inference powered by EigenAI.

  • Connected agent identity to the user's Safe for transaction signing.

This ensures:

  • Verifiable reasoning

  • Secure key isolation

  • Non-custodial execution

  • On-chain accountability

The agent does not just generate text - it generates deterministic execution plans that result in signed on-chain transactions.

2. Backend Upgrades

We extended the existing backend to support agent-driven workflows:

  • Updated workflow validator to handle AI-generated DAG structures.

  • Enhanced execution engine to support conditional monitoring and deferred execution.

  • Added new service routes for agent communication and execution requests.

  • Integrated oracle-based condition evaluation into the workflow runtime.

The backend now supports both:

  • Visual builder workflows.

  • AI-generated conversational workflows.

3. Frontend Enhancements

We updated the frontend to support the new agent architecture:

  • Added onboarding flow for Safe wallet pairing.

  • Implemented Telegram ↔ Safe identity linking.

To Summarise

  • Before this hackathon: FlowForge was primarily a visual Web2 + Web3 workflow automation builder.

  • After this hackathon: FlowForge is now a secure, deterministic, AI-driven DeFi execution agent that understands natural language.

Progress During Hackathon

This has been covered in the "Description" section above (as this input does not allow formatting). The focus of this hackathon was transforming FlowForge from a visual workflow automation platform into a fully operational AI-driven DeFi agent on Arbitrum. 1. Built and Deployed a Live Telegram AI Agent We implemented and deployed a production-ready agent accessible via Telegram. Key capabilities implemented: Natural language → structured workflow translation. Intent parsing into executable DeFi actions. Multi-step reasoning for compound tasks (e.g., conditional swap → lending allocation). Conditional logic support (price-based triggers using oracle feeds). The agent is live and usable today alongside the existing web app. This is not a mock or demo - users can send real instructions and trigger real on-chain execution. Each agent instance runs with: Hardware-isolated execution via EigenCompute. A unique cryptographic identity per agent. A dedicated execution environment. Deterministic AI inference powered by EigenAI. Connected agent identity to the user's Safe for transaction signing. This ensures: Verifiable reasoning Secure key isolation Non-custodial execution On-chain accountability The agent does not just generate text - it generates deterministic execution plans that result in signed on-chain transactions. 2. Backend Upgrades We extended the existing backend to support agent-driven workflows: Updated workflow validator to handle AI-generated DAG structures. Enhanced execution engine to support conditional monitoring and deferred execution. Added new service routes for agent communication and execution requests. Integrated oracle-based condition evaluation into the workflow runtime. The backend now supports both: Visual builder workflows. AI-generated conversational workflows. 3. Frontend Enhancements We updated the frontend to support the new agent architecture: Added onboarding flow for Safe wallet pairing. Implemented Telegram ↔ Safe identity linking. To Summarise Before this hackathon: FlowForge was primarily a visual Web2 + Web3 workflow automation builder. After this hackathon: FlowForge is now a secure, deterministic, AI-driven DeFi execution agent that understands natural language.

Tech Stack

ReactNextWeb3EthersNodeSolidity
Team Leader
AAakash Yadav
GitHub Link
github

GitHub

https://github.com/try-flowforge/agent
Product Category
DeFiAI