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Swarms v16 'Overclock': Token Accounting, Decision Models, MCP Deployment, and Runs That Start Clean
LatestEngineering

Swarms v16 'Overclock': Token Accounting, Decision Models, MCP Deployment, and Runs That Start Clean

The complete technical changelog for Swarms v16, code-named Overclock. Every agent and swarm now reports what it cost, a new DecisionModel brings typed, calibrated decisions from TypeSafe and Cloudflare into any workflow, MCPDeployer serves agents as authenticated MCP servers, TreeOfThoughts lands, a dozen structures stop leaking one task's conversation into the next, failed LLM calls finally raise, and tool handling moves out of agent.py into a ToolManager that makes a tool turn up to 65x faster. Every new feature, improvement, and bug fix from September 1 to October 2, 2026, day by day.

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106 articles

What Is Swarm Intelligence? From Ant Colonies to LLM Agent Swarms
Guides

What Is Swarm Intelligence? From Ant Colonies to LLM Agent Swarms

Swarm intelligence explained: stigmergy, boids, ant colony and particle swarm optimization, what LLM agent swarms borrow from them, plus Swarms API code.

What Is Multi-Agent Orchestration? Patterns, State, and Failure Handling
Guides

What Is Multi-Agent Orchestration? Patterns, State, and Failure Handling

Multi-agent orchestration explained: who runs when, what each agent sees, how outputs combine and when to stop, with patterns, failure handling and API code.

Swarm Architectures Explained: Every Way to Organize a Team of Agents
Guides

Swarm Architectures Explained: Every Way to Organize a Team of Agents

A reference guide to every swarm architecture in the Swarms API: a diagram for each, when to use it, when to skip it, and the exact swarm_type payload to send.

Multi-Agent Collaboration Patterns: Debate, Voting, Mixture of Agents, and Councils
Guides

Multi-Agent Collaboration Patterns: Debate, Voting, Mixture of Agents, and Councils

Multi-agent collaboration patterns with working Swarms API code: debate, majority voting, Mixture of Agents, LLM councils, and the research behind each.

How to Build an Agent Swarm in Python: A Step-by-Step Tutorial
Guides

How to Build an Agent Swarm in Python: A Step-by-Step Tutorial

Build an agent swarm in Python with the Swarms API: one example grows from a single agent to a pipeline, parallel specialists and a hierarchical swarm.

AutoGen Alternatives in 2026: Where to Go After AutoGen
Comparison

AutoGen Alternatives in 2026: Where to Go After AutoGen

AutoGen is in maintenance mode. Compare each AutoGen alternative (Microsoft Agent Framework, AG2, Swarms, LangGraph, CrewAI) and see how to migrate your code.

Why Is LiteLLM Slow? Import Time, Per-Call Overhead and How to Fix It
Guides

Why Is LiteLLM Slow? Import Time, Per-Call Overhead and How to Fix It

Why is LiteLLM slow? We measure its 1.2 second import, per-call overhead, streaming cost and memory, then cover the documented fixes and when to switch.

How to Migrate from LiteLLM to RouteHub: A Step-by-Step Guide
Guides

How to Migrate from LiteLLM to RouteHub: A Step-by-Step Guide

Migrate from LiteLLM to RouteHub step by step: swap imports, move litellm globals to per-call arguments, update responses, tools, errors and tests.

Introducing RouteHub: A Lightning-Fast LLM Gateway
Product

Introducing RouteHub: A Lightning-Fast LLM Gateway

RouteHub is an open-source LLM gateway that connects 20+ providers through one API, with streaming, async and tool calling. It imports 383x faster than LiteLLM, reaches its first response 5.5x sooner with 3.9x less memory, adds 9 µs per call, and is faster than the official Anthropic SDK on Claude calls and streaming. This post covers how it works, the full benchmark results and how to get started.

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