
neatlogs
Debug and monitor AI agents with real-time visualization and performance analytics.
@simranrambles
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Debug and monitor AI agents with real-time visualization and performance analytics.
@simranrambles

Connect 1000+ SaaS providers to AI agents via SDK, CLI, MCP, HTTP, or OpenAPI.
oomol-lab · GitHub
open-connector Open-source auth gateway connecting 1000+ SaaS providers to AI agents through SDK, CLI, MCP, HTTP, and OpenAPI.

AI agent browser extension that performs tasks, researches with citations, and remembers information while you work.
@kurvantHQ · X

Work platform combining human and AI agents to execute, manage, and operate projects together.
@1T31062175 · X

Explore a 3D showcase of AI agent orchestration with real-time project health metrics and live logs.
@patologico · X

AI agent on a cloud computer that automates workflows, drives browsers, and runs deep research.
u/Sea_Way6729 · Reddit
We started working on MoClaw 6 months ago as a side project, and managed to turn it into our main and only business! About half a year ago, a group of friends and I started working on a tool in our free time. We wanted a safer and more streamlined version of OpenClaw because there were many, many stories about AI going rogue, and ultimately decided to make one ourselves. On top of that, the costs of running autonomous, independent agents were quite high if you wanted to do it the proper, safe

Shared memory platform that organizes team context into a knowledge graph for AI agents and tools.
ximihoque · HN
Collaborative context-sharing memory platform for agents and teams

AI chatbot that handles customer support and lead capture 24/7 on your website, Shopify, and WhatsApp.
@hisachinj · X

A visualization language designed for AI agents to create and interact with charts.
chenglong-hn · HN
Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make visual decisions that are supposed to be handled by a good compiler. Flint is a visualization intermediate language to address this issue, allow AI agents to solve this last-mile human-agent interaction problem. It provides a simple semantic-type based specification, and contains a layout optimization engine that can produce good-looking charts (filled with derived low-level details) from simple

Reduce AI agent token costs by 40-70% through real-time prompt compression and duplicate tool call detection.
@DeveloperL92487 · X
I built my first app in 60min And now I got $500 MRR in one month Check here if you are interested It’s a tool to reduce agent token consumption, speed up agent response, and clean up memory cache

Search and discover AI Skills by professional scenario, save collections, and install into Claude Code with one click.
SkillForge — Claude Skill 发现与分发平台,按职业场景组织 5700+ skill 覆盖 30 个垂直领域,一行命令装到 Claude Code / Cursor,登录后可留存自己的工具集

Detects AI agent runaway loops and generates verified fix PRs for GitHub or local apply.
@void_rags · X
Introducing Orqis AI, an AI Watchdog that also fixes Agents. Have a look: