Productivity4 days ago
Prodigent
Document product decisions and reasoning in one shared layer for team collaboration.
@TimEngng · X
Stop losing the "why" behind product decisions -
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Document product decisions and reasoning in one shared layer for team collaboration.
@TimEngng · X
Stop losing the "why" behind product decisions -
Unified context layer for AI agents that integrates email, drive, Slack, Notion, and GitHub.
@marcin_u2 · X
-> here it is! claude finally knows everything gpt knows. and both of them know everything that's happened across your email, drive, slack, notion, github and granola :)
Visualize and deploy AI-generated backend code as a verifiable logic layer you can understand and own.
@SpalaAi · X
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
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.
AI assistant that helps podcast listeners understand, organize, and remember key insights from shows.
Podwise — 专为播客听友设计的 AI 知识管理应用
AI-powered tool that stress-tests business ideas with financial analysis and risk scenarios in 90 seconds.
@AIWMCX1 · X
Consultants don’t need more noise. AIWMC Quantis helps turn messy business ideas into clear scenarios, runway views, and risk signals — so you can spend less time rebuilding analysis and more time giving the client a real answer.
Generate professional documentation for startups without coding or complex setup.
@hannah24_app · X
Instantly transform rough thoughts into professional replies.
@anandkumar_dev · X
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
Build and deploy AI agents with persistent threads, webhooks, and scheduled tasks.
@computer_agents · X