Developer Tools2 weeks ago
Audaxic — Memory for AI Agents
Affordable memory storage layer for AI agents.
@AudaxicTech · X
Memory for AI agents, most affordable in the industry
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63 projects
Affordable memory storage layer for AI agents.
@AudaxicTech · X
Memory for AI agents, most affordable in the industry
Deploy an AI orchestrator to spawn and manage agents across multiple coding harnesses.
@EnzoV_sc · X
I’ve built a skill for agent orchestration so I don’t have to explain any session how to manage the next task. Pretty useful Through I can make my orchestrator spawn as many agents as it needs, from all harnesses (Claude Code, Codex, Grok Build etc..)
Deploy AI agents trained on your docs to automate customer support and sales conversations.
@iietmoon · X
Need sales x3 here is conversational AI Agent
Generate professionally-written ads and marketing copy with AI.
@DIYAdman · X
Uses AI agents to audit repository architecture and verify production-readiness.
@profericardo24 · X
Alcatraz Projects is a forensic audit layer that uses OpenClaw agents to interrogate your repo, ensuring your architecture is production-ready, not just 'vibe-coded' debt.
AI agent that answers support questions from your docs and qualifies sales leads.
@the_real_ori · X
Building AI support agent for SaaS. One agent, support and sales in the same inbox. What are you shipping?
AI chatbot that automates sales and customer support with lead capture.
@i_Shahzaib_ali · X
Soft launching my first SaaS: YourSaleMate An AI chatbot platform that: Trains on your own knowledge base , Captures + qualifies leads 24/7 , Gives instant website support , Tracks performance to boost conversions Free to use right now.
Build, verify, and ship software with teams and AI agents in one connected workspace.
u/OGMYT · Reddit
Validating a micro-SaaS for checking AI-built software before it ships I am building **Flows**, a system that turns an AI software goal into ordered implementation steps, checks, repair prompts, and a build report. The business thesis is not “better prompts.” It is reducing the cost of getting from an AI-generated first draft to a checked, shippable result. Metrics I want to measure: - prompts per completed project - tokens or credits per checked step - first-pass check rate - repair atte
Turn conversations into verified API schemas and specifications.
@NeuralArchitec · X
Vibe coding a smart wallet is high-stakes. One logic gap and the funds are gone. We bridge that risk by turning messy vibe thoughts into verified schemas and API maps. Build fast, stay precise. 🏛️
AI agents generate and review code based on feature descriptions, delivering pull requests ready for GitHub.
kellan_strong · Product Hunt
Factory Nexus by TynHub Ai and swarm agents
Sync your AI agent setup and skills across platforms without vendor lock-in.
@matebenyovszky · X
I use multiple providers Claude Code, Cursor, Codex, Hermes, Antigravity etc. and multiple machines. Over time, each one ended up with its own slightly different skills and tools 😰 So I started where a playbook is a portable bundle containing my MCP/OpenAPI servers, skills, prompts, personas and memory, which I can take with me into whichever environment I’m using. I’m still trying to figure out whether this is useful beyond my own workflow. Ideas? 🤔 🍎 Source / open source on Github: matebenyovszky/agentplaybooks I also built an npm CLI that audits a project and syncs the same skills and MCP definitions across harnesses.
Build AI trading agents from natural language descriptions, backtest them, and monitor markets automatically.
ariavikram · HN
Delphi – Build your own AI trading agent in seconds