Updated daily
Public posts and repositories about AI agents, collected from the Hacker News Algolia search API, Reddit's public JSON for r/AI_Agents and r/SaaS, and the GitHub repository search API. Categories come from keyword rules.
Loading the directory…
A Tic-Tac-Toe game powered by Reinforcement Learning using the Q-Learning algorithm. The AI agent learns from rewards and penalties through thousands of training games and improves its decision-making skills. Developed using Python and NumPy.
Free AI YouTube Growth Agent for Macherla Guru
NeuroEDA is a multi-agent AI platform for end-to-end chip design automation built entirely on open-source EDA tools. It covers digital, analog, and mixed-signal flows—from concept and SPEC to RTL, functional verification, synthesis, equivalence checking, place-and-route, GDS/OASIS, and physical verification.
Agent-ready marketplace for group plans: AI agents find who's free, negotiate with the venue, split the bill and settle it with PayPal. PayPal AI Hackathon 2026.
I built a plain-text spreadsheet format and an app for working with it. It began with small tasks like tracking my dog's health records and organizing records for tax season. Full spreadsheet apps always felt excessive, while Markdown tables don't support formulas. Also, its compact and readable syntax lets AI read and edit a workbook directly, without spreadsheet-specific tools. You can try the in-app agent on the desktop version with ChatGPT sign-in. Ordinate is now open source and available t
Hi guys, I built a tool www.lovespreadsheets.com earlier this year and a huge problem we kept running into is processing messy, real-world, complex spreadsheets for AI agents. Even a "medium" sized spreadsheet converts to about 1m+ tokens if read fully, which immediately blows up the current context windows of most models. So I noticed most agents sample data from spreadsheets in chunks instead. So I (& Claude) built this library Sheetgraph, https://github.com/asharma327/shee
Hey HN, We build financial AI agents, and Apgar is the tool we wrote to see whether a harness change made an agent better or worse in production. Our offline evals can't cover every kind of question or session real users bring, and the LLM judge we run in Langfuse is too expensive to use on more than a small slice of traffic, so some failures get through. Apgar is a small release health checker that sits on top of our Langfuse data. It picks up the release from the production traces, and for the
Hi HN, today we're launching the biggest update to Tella ever ( https://tella.com/ ). Tella is all-in-one video creation. You can record, edit and publish with one tool. Today we're shipping: 1. Tella Agent: An in-app video editing agent 2. Tella Motion: Rich motion graphics support 3. Auto Capture: Agentic screen recording Our in-app agent uses the same tools as our MCP. All year we've been exposing more of our editor to the MCP. So when we started working on the in-app agent a f
Hi HN, we're Ahnaf and Seungmin from Simantic ( https://simantic.com ). We are building the simulation layer that lets engineers and AI agents test and validate firmware without hardware. Before Simantic, we were ex-firmware engineers at companies like Neuralink and Tesla. We’ve worked on some of the coolest projects, like the Cybertruck and Roadster, back when they were still early prototypes. We started working on firmware back when ChatGPT didn’t exist yet, but over the years, we sa
During the dark ages of AI, when Opus 5 was incomprehensible and Codex Ultra was burning all tokens within a day, I decided to give open-source agents and models a try. What I saw was that a lot of the tools I tried were terminal-first, and desktop apps were less common. Additionally, I felt that lately a lot of the agents apps are slowly trying to become “superapps”. They keep adding more and more features that imo are not always useful and make the UI quite heavy and complex. This motivated me
Mika — 你手机上的私人 AI 助理，替你操作 App、上网、把事办成。An on-device AI agent for Android that operates apps and the web to get things done for you.
Autonomous AI agent workspace — Chandra runtime + FRAYMUS master system. Ed25519 identity, 7-format encoding, v13 signed mesh, Ouroboros RSI, Hermes 30-skill fleet, Motor compute dispatch, OpenClaw gateway, Kuramoto phase sync. Full autonomy.
Safe ssh vault and ssh client for ai agents
Built from scratch for the Meta Global AI Developer Hackathon 2026 (Indie track) — agent orchestrator demo on Meta, Gemini, and local Ollama models, with live evaluation harness. Building period: Oct 27 – Nov 4, 2026.
MCP server that turns a self-hosted Mealie into an AI-agent-ready kitchen: recipes, meal plans, shopping lists, Bring!, Mercadona prices, recipe import and nutrition.
AgentDesk — a tool-calling AI support agent (FastAPI + React/TS) with human-in-the-loop approvals, RAG, SSE streaming, and an offline eval suite.
[in progress] AI research agent that drafts equity briefs, with a Reviewer step and human approval, evaluated for accuracy across 15 companies.
AI-Agent for psychological help and affirmations
Ragentic is a production-grade AI knowledge workspace. It unifies scattered data—from PDFs and YouTube to entire GitHub repos—into a single, queryable intelligence layer. Built with a self-correcting agentic architecture, it dynamically routes queries, evaluates faithfulness, and explicitly cites sources to eliminate hallucinations.
Self-hosted web console for running AI coding agents (Claude Code, Codex, Copilot, Antigravity, Cursor, Kiro, OpenCode) as a managed fleet: isolated per-user workspaces, git/SVN working copies, scheduling and usage accounting.
A service agnostic integration spot for AI agents to coordinate projects collaboratively, with or without human intervention
Eight-platform full-stack AI operating system - unifies 176 LLMs via LangGraph + MCP + A2A. Multi-tenant RLS over 340 tables, RAG knowledge base, agent marketplace. Web/API/CLI/Desktop/Extension/Mobile/Miniapp. Apache 2.0.
Run stateful AI coding agents on a dense, warm process-manager runtime — sessions resume exactly where they left off.
AI scheduling and recall agent for dental practices. FastAPI · LangChain · React · Docker. Mirrors the NexHealth Synchronizer API data model.
Open-source security scanner with first-class AI app security (prompt injection, embedding leakage, agent over-privilege, MCP hardening). Polyglot AIBOM, SARIF, SBOM. Cosign-signed plugin marketplace. Offline-first, agent-native via MCP.
Author, generate, validate and govern AI agent rules, skills, plugins and MCP configuration across 52 coding assistants. Review with verified model evidence, evaluate skills, lock and sign dependencies, and publish bundles. CLI, MCP server and Go API.