AI 智能体1 week ago
Oasis | where humans and agents come to work
无代码协调AI智能体团队工作区，支持策略和Slack集成。
ns90001 · HN
Oasis - Giving Agents Situational Awareness
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无代码协调AI智能体团队工作区，支持策略和Slack集成。
ns90001 · HN
Oasis - Giving Agents Situational Awareness
The simplest way to deploy, manage, and scale AI agents. Sleep/wake micro-VMs and flat plans that work out to $1 per agent per month. Push your code, get a live API endpoint.
mariagorskikh1 · HN
Maritime, a platform for running AI agents for $1 a month
在云平台构建和部署AI代理，支持持久线程、Webhook和计划任务。
@computer_agents · X
用友好界面管理AI代理团队。
jackcollinshq · Product Hunt
YAGNI Proactive agent teams you manage like humans
自动检测 AI 代理应用的故障，生成 Pull Request 供审核合并。
pranny · HN
Selfship.ai – Surface and fix isues with your agentic applications 24x7
设计并部署 AI 代理，跨任何软件自动化任务，无需 API。
@gabebenchimol · X
无代码构建、连接和部署AI智能体，支持Gmail、Slack、Notion、HubSpot等服务。
@fora_ai1 · X
Cortex AI — Build, deploy, and manage AI agents without the complexity. Create AI agents, connect your data, add knowledge with RAG, integrate with apps, and deploy your agent in minutes. 🌐
跨提供商治理、追踪和防护 AI 代理的安全平台
camsjams · HN
Lineation – One security control plane for all agents
通过统一的API访问多个AI代理，按使用量计费。
@agentsky_dev · X
Built for agents, not just models. AgentSky is live: one API to run Claude Code, Codex, DeepSeek, Kimi, OpenCode, and more in the cloud. Connect your real tools, then compare time, cost, and tokens side by side in Agent Playground. Try it:
Build, verify, preview, share, remix, and deploy full-stack apps with managed databases, storage, Stripe, backups, and 73 MCP tools for AI agents.
@nexusai_apps · X
Constellation Gate AI为AI代理提供网关,防止提示词注入、扫描密钥并节省token
benjamin_jorgensen1 · Product Hunt
Constellation Gate AI Prompt injection and token savings - #1 in benchmarks
为AI代理添加持久用户内存的SDK。
u/foric0 · Reddit
Built a memory layer so I stop re-explaining my project to every AI tool Every new Claude or Cursor session starts from zero. Same stack, same conventions, same things I already tried and dropped, explained again. Agent Magnet fixes that. Learns as you work, shares one memory across Claude, Cursor, and Codex. Team memory too, one person learns something, the rest of the team has it. Not the first tool trying to solve this, a few others take the retrieve-everything approach.