Interacting with Agents
Forge is powered by agents â intelligent components that specialize in analyzing tokens, wallets, LPs, and more. You donât need to know how they work behind the scenes, but understanding how to interact with them will help you get the most out of Forge.
This page explains what happens when agents respond, how you can trace their logic, and what tools are available to go deeper after an answer is given.
What Happens When You Ask a Question
When you type a question in Forge:
The system figures out what kind of question it is (token, wallet, sniper, etc.)
It picks the right agent or group of agents to handle it
Those agents run their logic and send back a structured prompt
Forge returns an answer based on what the agents found
Youâll usually see a single, human-readable reply, but behind it, one or more agents were involved in generating it.
Agent Logs
To give you full transparency, Forge shows which agents were activated for your question. Youâll see a small tag or icon with the agentâs name like:
TokenAgent
WalletAgent
SniperAgent
LPAgent
You can click on these tags to expand the response and view the raw logic the agent followed. This might include:
Event triggers (e.g. token launched 2 min ago)
Data points pulled (e.g. deployer history, LP size)
Risk scores or confidence levels
Agent reasoning notes
This lets you see not just the conclusion, but how it was reached.
Follow-Up Actions
After an agent responds, youâll often see optional follow-up buttons like:
âTrace wallets involvedâ
âAnalyze deployer historyâ
âShow LP chartâ
âView contract detailsâ
These are shortcuts for triggering deeper agent tasks. Clicking one sends a refined query directly to the relevant agent, pre-filled with the right context.
This saves you from retyping or guessing what to ask next.
Multistep Workflows
Some interactions trigger multi-agent sequences. For example:
You ask:
âIs this token safe and who deployed it?â
Forge triggers:
TokenAgent
to check structureWalletAgent
to review deployer historyLPAgent
to scan burn and lock status
Each returns a portion of the answer, and the chat interface combines them into one final response. Youâll see each agentâs tag at the bottom, and can expand each one if you want to view their logic separately.
Agent Memory
Most agents are stateless and respond only to real-time context. But some advanced agents retain short-term memory within a single session.
This means:
You can follow up without repeating the token or wallet
You can ask âwhatâs next?â or âshow moreâ and get a deeper reply
Agents remember your last focus (e.g. still analyzing the same token or wallet)
Once the session ends or you switch topics, the context resets.
Adding Custom Agents (Advanced)
If youâre self-hosting Forge or using a developer instance, you can:
Create your own agent with a defined purpose
Choose what triggers it listens for
Set its context and prompt template
Define how it responds
You can even combine agents into chains to support deeper workflows, like deployer fingerprinting, sniper flagging, or LP trend tracking.
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