Overview
1 min read
ShipIt Agent's deep agent system provides autonomous, self-directing agent capabilities that go beyond LangChain. All deep agents support MCP servers, built-in tools, real-time streaming, and memory.
Deep agents also support the same skills system as plain Agent, including packaged skills, custom skill catalogs, explicit skills=[...], and prompt-based auto-matching. See the Skills guide.
| Agent | What it does | Key feature |
|---|---|---|
| GoalAgent | Decomposes goals, tracks success criteria | Autonomous multi-step execution |
| ReflectiveAgent | Self-evaluates and revises output | Quality threshold with scores |
| Supervisor | Delegates to workers, reviews quality | Hierarchical multi-agent |
| AdaptiveAgent | Creates new tools at runtime | Dynamic tool creation |
| PersistentAgent | Checkpoint and resume | Long-running tasks |
| Channel | Typed agent-to-agent messaging | Structured communication |
| AgentBenchmark | Systematic agent testing | Pass/fail reports |
All deep agents support:
# All tools (web search, code exec, etc.)
agent = GoalAgent.with_builtins(llm=llm, goal=goal)
# Real-time streaming with output content
for event in agent.stream():
print(event.payload.get("output", ""))
# Memory across runs
agent = GoalAgent(llm=llm, memory=memory, goal=goal)Runnable examples
python examples/11_deep_agents.py— all deep agents- Notebooks:
14,16,17,18,19,20,21