Framework · Fast-moving · Advanced

Agent frameworks

Libraries that provide the loop, state, tool registry and control flow needed to build AI agents.

What Agent frameworks is

Agent frameworks handle the mechanics — planning loops, tool dispatch, memory, retries, step limits and human approval gates — so teams do not rewrite them.

How it works

Workflows are expressed as graphs or role hierarchies with typed state, checkpointing for resumption, and tracing of every step for debugging.

Why it matters

The differentiator between frameworks is control and observability, not cleverness: production agents need budgets, limits and audit trails.

Common uses

→Coding and research agents
→Back-office automation
→Multi-step customer operations

Strengths

✓Reusable control patterns
✓Built-in tracing

Watch for

✓Rapid churn
✓Abstractions obscure prompts
✓Easy to over-engineer

Continue exploring

AI Agents AI Orchestration Multi-Agent System Model Context Protocol