AI Agents1 week ago
Computer Agents | Agentic Compute Platform
Build and deploy AI agents with persistent threads, webhooks, and scheduled tasks.
@computer_agents · X
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10 projects
Build and deploy AI agents with persistent threads, webhooks, and scheduled tasks.
@computer_agents · X
Debug and monitor AI agents with real-time visualization and performance analytics.
@simranrambles
Agentic AI assistant for building websites, writing code, and handling complex tasks.
@durdom_evm · X
Chinese team at just dropped ZCode 3.0 and it's quietly reshaping the agentic coding landscape while everyone's waiting on Anthropic's roadmap here's what matters: GLM-5.2 is trading blows with Opus 4.8 on the benchmarks that actually count. 81.0 vs 85.0
Digital asset management platform for organizing and sharing visual assets with AI agent integration.
@raster_app · X
Chat with an AI assistant that can autonomously use computers to complete tasks.
stan_kirdey · HN
Clark – AI assistant with own computer
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 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
Autonomously design, build, and deploy software systems.
@Bim_evaporates · X
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Get a live server for your AI agent by describing your goal.
@ServerForAgent · X
Share context across AI agents so they remember your codebase and task history.
@dorikuio · X
AI agents have amnesia — Claude Code figures out the codebase, an hour later Codex starts from zero. So I built a shared memory + task board for every MCP agent — Claude Code, Codex, Cursor, Gemini CLI: Is this just my problem? Help me find out.