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Agent Pool

What the Agent Pool is​

When AI Partner runs a complex goal, it can spawn multiple sub-agents to work in parallel. Each sub-agent is an independent execution context with its own task, tools, and ReAct loop.

The Agent Pool Monitor (sidebar → Agent Pool) gives you a live view of all sub-agents: how many are active, what each one is doing, and the option to cancel any individual agent or all of them.


Agent Pool limits​

LimitDefault
Agents running at once5
How deep delegation can nest3

Depth means how many levels of delegation can nest. A goal spawns sub-agents (depth 1). Those sub-agents can themselves delegate further (depth 2). Depth 3 is the maximum — sub-sub-sub-agents cannot delegate further.


The Agent Pool Monitor panel​

Go to sidebar → Agent Pool:

Agent Pool
─────────────────────────────────────────────────
Active: 3 Total spawned: 7 [Cancel All]

Agent task-abc1 depth:1 role: Web Researcher
Task: "Research Anthropic's latest funding round"
Status: 🔄 Running — iteration 3
Started: 14:03:22

Agent task-def2 depth:1 role: Financial Analyst
Task: "Get NVIDIA Q1 2026 earnings data"
Status: 🔄 Running — iteration 2
Started: 14:03:24

Agent task-ghi3 depth:2 role: Summarizer
Task: "Summarize the Anthropic research results"
Status: ⏳ Waiting for task-abc1
Parent: task-abc1

──────────────────────────────────────────────────
Completed (4):
✅ task-jkl4 Web Researcher "Research OpenAI funding" 14:02:18 → 14:03:10 (52s)
✅ task-mno5 Fact Checker "Verify funding amounts" 14:02:45 → 14:03:31 (46s)
✅ task-pqr6 Report Generator "Draft comparison outline" 14:03:05 → 14:03:48 (43s)
❌ task-stu7 Shell Operator "Download CSV from URL" 14:02:30 → 14:02:55 (25s) — 404 error

What each field means​

FieldDescription
ActiveSub-agents currently running (counts toward the 5-agent limit)
Total spawnedAll agents started since the current goal began
depthHow deep in the delegation chain this agent is (1 = direct child of the main executor)
roleThe agent profile assigned to this sub-task
TaskWhat this agent was asked to do
StatusRunning / Waiting for dependency / Completed / Failed
ParentWhich agent delegated to this one (depth 2+ only)

Real-time updates​

The panel updates itself — no refreshing. An agent appears as Running the moment it starts, and moves to Completed with its result, or its error, the moment it finishes.


Cancelling agents​

Cancel one agent: click Stop (⏹) next to any running agent. It stops immediately, not at the end of its current step. Any files or partial results it already produced are kept — cancelling never throws away work that was already done.

Cancel all agents: click Cancel All at the top of the panel. This cancels the main goal and all sub-agents simultaneously.

Cancelling a sub-agent does not automatically cancel the parent goal. The parent goal may continue with the partial results from completed sub-agents, or it may escalate to you with an HITL prompt if a cancelled sub-task was required for goal completion.


When parallel agents help​

The main executor decides whether to run agents in parallel based on the goal's task graph. Tasks with no dependencies run simultaneously:

Example goal:

Research OpenAI, Anthropic, and Google DeepMind:
their latest funding, key hires, and product announcements.
Write a comparison report.

What runs:

Main agent: decompose into 4 tasks

Task 1: Research OpenAI → Agent A (parallel)
Task 2: Research Anthropic → Agent B (parallel)
Task 3: Research DeepMind → Agent C (parallel)

[all three run simultaneously — ~45 seconds total instead of ~135 sequential]

Task 4: Write comparison report (depends on 1+2+3) → runs after all three complete

The Agent Pool Monitor shows all three research agents active at the same time.


When agents wait​

If a sub-task depends on another, the waiting agent shows ⏳ Waiting for [parent task]. It starts automatically when the dependency completes — you don't need to do anything.

If a dependency fails, the waiting agent is marked ⏭ Skipped — it was never started because its prerequisite didn't complete.