Agentic AI Benchmarks: Agent and LLM Performances
Agentic AI includes agents that execute complex tasks with minimal human supervision. We evaluated the most popular AI agents and the performance of popular LLMs on different benchmarks to find the best agent-model combination that you will need.
Explore Agentic AI Benchmarks: Agent and LLM Performances
Best 50+ Open Source AI Agents Listed
AI AgentsInsightNov 2Everyone has been building AI agents so after hands-on testing with popular AI coding agents, AI agent builders and tools use benchmarks to evaluate their real-world capabilities, we put together a curated list of the best 50+ open source AI agents. Click the category headers to jump straight to our top picks: Agent development &…
- Agentic AI FrameworksBenchmarkOct 30
Top 13 Open-Source Agentic AI Frameworks
smolagents is not in the chart. At 20.55 s and $4.52 per 1,000 runs on average, it had by far the highest time and cost, and including it made the differences between the other frameworks unreadable. We explain why below. We first ran this benchmark in February 2026 with four frameworks on GPT-5.2: LangChain, LangGraph,…
- Agentic AI FrameworksBenchmarkOct 30
Top 10+ Agentic Orchestration Frameworks & Tools
The activity agent had one rule: pick an indoor activity if the day’s rain chance is 50% or higher or rain is forecast; otherwise pick an outdoor activity. All three days were sunny or overcast with a 5 to 10% rain chance, so the correct answer was an outdoor activity for every day. When the…
- Agentic AI FrameworksInsightOct 29
4 Agentic AI Design Patterns & Real-World Examples
Agentic AI design patterns enhance the autonomy of large language smodels (LLMs) like Llama, Claude, or GPT by leveraging tool-use, decision-making, and problem-solving. This brings a structured approach for creating and managing autonomous agents in several use cases. An agent is considered more intelligent if it consistently chooses actions that lead to outcomes more closely…
- Agentic AI FrameworksOpen World EvaluationOct 24
Compare 12 Agent Swarm Frameworks: OpenAI, Google, Microsoft
Anthropic split its research assistant into a lead agent and a team of parallel subagents, reporting 90.2% better results on its internal evaluations. Yet, the system used about 15 times as many tokens. How much of that overhead one pays depends partly on the framework. In our orchestration benchmark, we ran the same five-agent workflow…
- AI AgentsOpen World EvaluationOct 23
Building Personal AI Agents + 18 Agent Platforms and Tools
We spent two days experimenting with real-world demos and tools to build personal AI assistants that can handle your tasks, such as scheduling meetings, managing notes, or sorting through emails. We will dive into three main approaches to building and using personal AI assistants, with real-world examples for each: No-code automation tools, such as n8n,…
- Agentic WebBenchmarkOct 23
Agentic Search: Benchmark 8 Search APIs for Agents
Agentic search plays a crucial role in bridging the gap between traditional search engines and AI search capabilities. Search APIs are the first layer of an agentic tool, where performance caps the quality of everything downstream. We benchmarked 8 search APIs across 100 real-world AI/LLM queries, evaluating 4,000 retrieved results with an LLM judge that…
- AI AgentsOpen World EvaluationOct 22
Top Agentic CRM Platforms
Customer relationship management tools are getting smarter. Instead of just storing data, agentic CRM platforms can plan tasks, execute workflows, and adjust strategies autonomously. Think of them as CRM systems with built-in intelligence that actually do the work instead of waiting for users to click buttons. We focused on platforms that actually work in real…