State of AI Agents 2024 – 184B tokens · 786M runs analyzed
hello everyone, my first post! AA here, founder of ⌘ Langbase.com — we are a developer platform for building and scaling serverless AI memory agents. I know surveys can be boring, but this one’s different—it’s interactive! That's very much intentional. My team and I have been up for the last 21 hours putting together this report. This was a looot of work, so I hope y'all like it. Introducing … State of AI Agents 2024 report On Langbase, we processed 184 billion tokens and handled 786 million AI agent runs from 36K developers. From all that data plus insights from 3.4K builders who filled out…
State of AI Agents 2024 – 184B tokens · 786M runs analyzed launched on December 11, 2024 with 6 votes and more than 50% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Learn the state of AI agents, how tens of thousands of developers are building AI agents with memory. In-depth research by Langbase after serving 184 Billion tokens, 786 million API requests by 36K developers, and insights from over 3,400 leaders building AI agents.
AI hits new highs in 2024—here’s how it evolved. After serving 184 Billion tokens, 786 million API requests by 36K developers, we collected insights from over 3,400 developers building AI agents. The 2024 State of AI Agents Research received over 3,400 responses from 100+ countries. 46% of participants were in C-level roles, reflecting AI's importance at the top. The research captures insights from developers, industry leaders, and professionals across diverse sectors and company sizes worldwide. After handling an incredible 184 billion tokens and 786 million API reqs from 36K developers, we’ve gathered invaluable insights from 3.4K builders, the next-gen of AI agents. Developers rely…from langbase.com
In the maker’s words, at launch
hello everyone, my first post! AA here, founder of ⌘ Langbase.com — we are a developer platform for building and scaling serverless AI memory agents. I know surveys can be boring, but this one’s different—it’s interactive! That's very much intentional. My team and I have been up for the last 21 hours putting together…
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TrailsJan 2026 · trails-red.vercel.app · ▲81Hey all, Justin here. I previously built Phind, the AI search engine for developers. One of the biggest problems we had there was figuring out what went wrong with bad searches. We had tons of searches per day, but less than 1% of users gave any explicit feedback. So we were either manually digging through searches or making general system improvements and hoping they helped. This problem gets harder with agents. Traces are longer and more complex. It takes more effort to review them, so I'm building a tool that lets you analyze LLM outputs directly to help developers of LLM apps and agents…
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Source: Show HN post ↗ · launch text quoted in part
