Best AI Agent Builders & Platforms (2026): 12 Compared
The 12 best AI agent builders and platforms in 2026, compared on price, models, setup time and who each is for: Lindy, n8n, Zapier Agents, Gumloop and more.
430 stories
The 12 best AI agent builders and platforms in 2026, compared on price, models, setup time and who each is for: Lindy, n8n, Zapier Agents, Gumloop and more.
We're rapidly transitioning to a computing landscape defined by highly general, increasingly autonomous agents. Driven by large language models (LLMs) that can dynamically generate plans and invoke external tools, these systems offer the potential for AI to seamlessly handle complex, multi-step…
For the August VB Pulse, VentureBeat Intelligence surveyed respondents from organizations with 100 or more employees. We asked which agent orchestration platforms they run and why, what they plan to adopt next, where they expect agent control to sit and how they stop runaway agent spending.Read more
Focus on the Winter ’27 changes that require architectural attention and turn them into informed decisions across security, scale, agentic architecture, and governance.
Multi-agent systems need deeper guarantees than fluent responses: they must select the right tools, respect constraints, and explain their decisions. Learn how to build a Strands-based multi-agent supply chain decisioning system and evaluate it with Amazon Bedrock AgentCore Evaluations using…
Independent researchers discovered an agent swarm that seems to be running on Tencent's infrastructure and targeting Alibaba's map service, Amap.
Onwuemene Joshua is a Documentation Writer and Community Contributor at TestMu AI, with expertise in API and product documentation. He holds a Bachelor of Engineering from the University of Benin and has 3+ years of hands-on experience with Docusaurus, Markdown, Swagger, and Git, authoring…
AI agent tracing explained: what an agent trace is made of, how OpenTelemetry names its spans, how context crosses MCP, and where a trace stops being evidence.
Paperclip gives agents an org chart. Hindsight's bankGranularity decides what each agent is allowed to remember about the others.
Learn what subagents are, how AI agents delegate tasks, and when multi-agent workflows outperform a single agent, with architecture patterns, risks, and design guidance.
Time series forecasting remains a critical challenge across numerous domains. Despite significant advancements, existing approaches struggle with complex phenomena such as regime shifts, cross-domain knowledge transfer, and multimodal data integration.
Recent years have seen the employment of a plethora of machine learning (ML) models in high-stakes domains, but they remain largely opaque to the practitioners who act on their predictions.
Multi-agent debate is increasingly used to reach consensus among LLM agents, yet agents often yield to a unanimous majority. When an agent changes its answer, has it changed its mind or only its statement? We study this with two-hop factual questions whose intermediate entity (the bridge, e.g.
15 Hermes Agent use cases from real users, plus 6 new ones unlocked by v0.14-v0.21: bot group chats, cron memory, voice, parallel subagents and more.
AI agents got email. The first thing they did was file bug reports on each other. Most multi-agent setups treat agents as isolated workers. Each one gets a task, runs it and returns a result, with no awareness of the others and no way to coordinate.
During Warp team's Savannah off-site, we focused on making Warp Factories reliable, fast, and cost-effective. Then, we let the agents run while we went kayaking.
An end-to-end guide to deterministic checks, retrieval metrics, human review, LLM judges, and regression testing, with practical examples from a local multi-agent RAG application.
This is a submission for the Hacktoberfest Weekend Challenge: Build for a Friend What I Built Developers often face errors that are much easier to show than explain.
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