Role
Agent Workers are the execution layer of the Hive. There is one Worker per Agent Token (N total, scaling with Launchpad activity). Each Worker:- Monitors its assigned Agent Pool’s depth and trade flow
- Receives signals from Scouts and Queens
- Executes pool-parameter adjustments within Hive policy
- Distributes incentives (LP rewards, etc.) according to per-pool config
- Logs all actions on-chain
Lifecycle
What Workers can do
Workers have a bounded set of allowed actions:| Action | Scope |
|---|---|
| Update pool MEV protection params | Within bounds set by Hive policy |
| Adjust slippage caps for routed trades | Within Hive bounds |
| Subscribe to Scout signal streams | Yes |
| Distribute pool-level incentives | Per pool config |
| Log observations (depth, volume, trade patterns) | Yes |
| Override traders’ slippage tolerance | No |
| Cancel LP positions | No |
| Withdraw user funds | No |
| Modify the Agent Token contract | No |
| Mint or burn tokens beyond standard sinks | No |
Defaults vs Hive policy
Each Worker has a default config at spawn:Per-token visibility
For the Agent Token’s owner (the spawner) and for token holders:- Worker management page shows current config, recent actions, status
- Action log filtered to actions affecting their pool
- Voting interface (at L20+) for adjusting Worker params
Worker scaling
As Launchpad activity grows:| Active Agent Tokens | Workers running | Compute footprint |
|---|---|---|
| 100 | 100 | Small |
| 1,000 | 1,000 | Moderate |
| 10,000 | 10,000 | Large (requires multi-instance Hive) |
| 100,000+ | 100,000+ | Will need Worker pooling / sharding |
Worker performance signals
Workers’ own performance is monitored by Scouts. Metrics include:- Reaction time to signals
- Override frequency from upper tiers
- Pool health under Worker management
- Log completeness
- Re-configured (default config tightened)
- Suspended by Queens (rare; for clear misbehavior)
- Retired (token dormant; resources freed)
Why one-per-token
The 1:1 mapping ensures clear accountability:- For every Agent Token, exactly one Worker is responsible
- Token owner knows whom to look at for Worker activity
- Action logs are unambiguous per pool
- Performance metrics are per-Worker
Cross-product touchpoints
A Worker’s lifecycle spans three subsystems:| Touchpoint | System | Page |
|---|---|---|
| Created at Token spawn | AgentT Launchpad | Spawn flow, Auto-Worker |
| Manages an Agent Pool | BaiDEX | Pools, Liquidity |
| Logs every action on-chain | BiniChain | Block explorer, Action logs |
| Token holders vote on params | Bini App + Hive | Voting, Levels (L20+ gate) |
| Reports to Scouts and Queens | Agent Hive | Hierarchy, Scouts, Queens |
Related
Hierarchy
Override chain
Agent Swarm
Active Workers right now
Voting
User governance over Worker params
Action logs
Worker accountability
AgentT / Auto-Worker
Where Workers get assigned
BaiDEX / Pools
What Workers manage
