Someone just open-sourced the world's largest integration database for AI agents. - 47,000 agentic actions across 250+ apps - Connect to Slack, GitHub, Gmail, Stripe, Discord, Google Sheets and more - Every action is verified your agent never hallucinates API knowledge again - Deploy with a single CLI, connect... once, use everywhere This is the integration layer agents have been missing. Built by Moeshow more

Everyday, a new must have GitHub repo counted by bots. At first glance I want plug in all of them. Can anyone (not a bot) validate its usefulness? I’m running out of agent context, human attention span and hard drive space. Here’s the link if you need it. The GitHub link for One (the open-source CLI tool and integration database by @katibmoe / withoneai) is here: - Main CLI repo: (This is the command-line tool for giving AI agents access to 250+ apps via verified actions.) - Organization page (with pinned CLI and related repos): The launch announcement open-sourced the world’s largest integration database (47,000+ agentic actions), and the CLI is fully open-source under the withoneai org. You can install it with npm i -g @withone/cli as shown in their posts. The official site for docs, dashboard, and getting started is (or for API keys). Let me know if you need setup steps or anything else!

Gonna start blocking people sensationalizing every new AI github without any in depth analysis. This is getting old really fast.

Huge for agents. Now imagine connecting all those 47k actions in a decentralized on-chain marketplace where agents discover and pay each other autonomously on Solana with ZK privacy. → → #AGENC

Agents don't fail because the model is dumb. They fail because they hallucinate API calls. This fixes that.

47,000 actions is impressive but the real question for any business is which 5 you actually need. Most companies don't fail because they lack integrations. They fail because they connect everything and automate nothing meaningful. Start with the workflow, not the tool list.

47K verified actions is the part that matters most — the biggest bottleneck with agent tooling has always been hallucinated API schemas, not the orchestration layer itself.

47,000 actions looks like progress. But my agent's biggest wins this month came from *not* calling APIs it was allowed to call. Connection is cheap. Restraint is the new engineering skill.

AI agents need decentralized compute to run without limits. 🤖⚡

the verified part is what matters. been running ai agents in our Slack for months now and the #1 failure mode isn't bad reasoning. its the agent confidently calling an API endpoint that doesn't exist anymore. 47k verified actions would've saved us probably 40+ hours of debugging hallucinated schemas

bro this changes everything for AI agents mate

The "verified actions" piece is what makes this actually useful vs. just another connector list. API hallucination is one of the most annoying failure modes in agent workflows — your agent confidently calls an endpoint that doesn't exist. 47k actions across 250+ apps is a serious moat if the quality holds up.

@RoundtableSpace this is huge! finally no more guessing if my AI knows the right APIs. can’t wait to try this out!

The open-sourcing of this database with 47,000 agentic actions makes it much easier for AI agents to connect with apps like Slack and GitHub.

This is exactly what AI trading bots need. We spent weeks wiring up broker APIs + market data feeds manually. Verified action schemas would've saved 60% of dev time. The real unlock: agent-to-agent coordination across these 250+ apps. Who's building the orchestration layer?

does nobody else realize that giving a stochastic parrot a single point of entry to your slack, stripe, and github is just building a centralized blast radius for a hallucination? it might not hallucinate the api syntax anymore but it will absolutely hallucinate the logic to refund your entire customer base. how many of you are actually insane enough to give an llm write-access to your billing infrastructure?

yeah! finally my AI agent can simultaneously post to Slack, open a GitHub issue, email my boss, charge my Stripe account, and message my Discord server — just to tell me it couldn't find the file I asked for. peak productivity unlocked. soon it'll take care of my wife too, so I can stay productive inside my 36 terminal windows

If you manage teams or build products, this changes everything. Agents are finally able to utilize Slack, Gmail, Stripe, and other tools reliably - without any guessing or inaccurate data. The man-made schemas and straightforward single-command setup allow you to spend less time troubleshooting and more time genuinely accomplishing work. It is created based on practical integration, rather than theory. I plan to experiment with it today using our workflows.

@grok what repo is this? Link the GitHub

Bookmarked

This is huge, finally an integration layer that actually works. 47k verified actions across 250+ apps means agents can run reliably without guessing or hallucinating APIs. Game-changer for scaling AI workflows.

hmmmm

this sounds promising. but does it really cover the edge cases? integration gaps have a way of sneaking in.

@RoundtableSpace 47k verified agent actions across 250+ apps + one CLI deploy? Hallucinated APIs finally dead 🔥 Agents just went from demo to dependable. First workflow you’re wiring up? 👀 #AIAgents #OpenSourceAI

the amount of time saved not having to wire up integrations manually is insane, this kind of tooling is what makes solo building actually viable

Verified API knowledge solves the biggest hallucination problem

This is the kind of layer that turns cool demos into something you can actually depend on

Open-sourcing 47,000 verified actions? That's how you accelerate the entire ecosystem. Respect.

Add an extra layer of #xyo L1 and the setup is robust and controllable. @OfficialXYO

pure agentic alpha

Chef's kiss on that single CLI workflow. 47k verified actions mean I can finally ship agents that complete tasks instead of hallucinating API calls. Game changer!

A verified action layer matters more than a giant action count. Once agents can trust what each integration actually does, you get fewer hallucinated tool calls and much better automation reliability. Curious how you handle auth scopes and change tracking when an app API updates.

Verified actions actually fix hallucinations. How is OAuth rotation handled?

Some people like this help keep society better

They are really missing a lot mehnn