Alternatives
Products that do what Dexto – Connect your AI Agents with real-world tools and data does
Hi HN, we’re the team at Truffle AI (YC W25), and we’ve been working on Dexto (https://www.dexto.ai/), a runtime and orchestration layer for AI Agents that lets you turn any app, service or tool into an AI assistant that can reason, think and act. Here's a video walkthrough - https://www.youtube.com/watch?v=WJ1qbI6MU6g We started working on Dexto after helping clients setup agents for everyday marketing tasks like posting on LinkedIn, running Reddit searches, generating ad creatives, etc. We realized that the LLMs weren’t the issue. The real drag was the…
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
Turn your website into an AI agent with one script tag.
Feb 2026 · rover.rtrvr.ai
- 10
- 11
Traccia▲197AI applications are becoming agents, which has started to take autonomous decisions. There are plenty of tools and platform available to trace, and observe what an agent or llms calls does. They are good in what they do, but tracing and observability isnt enough for AI agents era. We need a solution that can help you observe, evaluate, create run time policies to govern and finally audit the actions of the agent. We built Traccia to solve this problem. The good part, all of these can be achieved by just writing few lines of code. Traccia has an open-sourced sdk that can work with your…
11d ago · traccia.ai
- 12
- 13
- 14
- 15
- 16
- 17
Where sales teams and AI agents work side by side.
Apr 2026 · crono.one
- 18
- 192C
Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…
Feb 2026 · github.com
- 20NI
Hi HN! My co-founder and I spent the last 4 weeks building something we desperately needed ourselves. The Problem: We spend hours processing emails - scheduling meetings, going through long newsletters, downloading attachments to review, verifying documents like invoices, and of course taking actions on external systems (Salesforce, Asana, Jira etc) based on emails received. A lot of this can be automated with the help of AI agents, saving several hours every week. Our Solution: Forward any email to a specialized AI agent that completes the task and email you back the results. No…
2025 · mxtoai.com
- 21
Rimplo▲16I've spent most of my career leading GTM teams, and there's one blind spot that I've watched repeat at every company usage sit in one tool, deals sit in a second, support sit in a third and none of them tell the whole truth about customers. So we built Rimplo to close that gap set of revenue agents that runs across CRM, billing, support and product data and watch for three important moments customers about to churn, deals ready to expand and deals going quite in the pipeline. Also we have very powerful ai assistant that replies on anything from the GTM data sources connected powered with the…
12d ago · rimplo.com
- 22
- 23IB
Excited to share a project I’ve been building for months! Would love to receive honest feedback :) My motivation: AI is clearly going to be the interface for data. But earlier attempts (text-to-SQL, etc.) fell short — they treated it like magic. The space has matured: teams now realize that AI + data needs structure, context, and rules. So I built a product to help teams deliver “chat with data” solutions fast with full control and observability (agent tracing, quality scores, etc) — am I wrong? The product allows you to connect any LLM to any data source with centralized context…
Oct 2025 · github.com
- 24AI
The goal of Agentic is to create a set of standard AI functions / tools which are optimized for both normal TS-usage as well as LLM-based apps. It's designed to work with all of the major TS AI SDKs (LangChain, LlamaIndex, Vercel AI SDK, OpenAI SDK, Firebase Genkit, etc) via adaptors. Would love feedback from the HN community :)
2024 · github.com
Ranked by how close each launch is in meaning, then by votes. Refine with a description →