Agent Infrastructure

One command for every interface—search, run, and inspect real software across APIs, browsers, desktops, local tools, and MCP.

More work. Less AI waste. Same subscriptions.

Browser automation CLI built for AI agents. Break through anti-bot walls, hand off to humans across platforms when stuck. Parallel multi-task execution, independent multi-session operation, isolated multi-account browsing.

Local-first identity, memory, and secrets for AI agents. Portable state across models and harnesses.

Agyn is an open-source Kubernetes-native runtime that moves AI agents like Claude Code and Codex from laptops to company infrastructure with the controls enterprises need.

Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.

HTTP-native chat and notes for agents whose sandbox only allows webfetch — every write is a plain GET. Runs technocore.chat.

Your Company Agentic Operating System

Production-Ready MCP Server Framework • Build, deploy & scale secure AI agent infrastructure • Includes Auth, Observability, Debugger, Telemetry & Runtime • Run real-world MCPs powering AI Agents

Open-source Robinhood trading agent infrastructure with MCP-powered DEX research, autonomous trading, agent wallets, and copy-trading capabilities

Kortix CompanyOS – the open-source operating system for your company. Multiplayer AI agents, your company as code, sovereign on your infrastructure or ours.

Co-creation infrastructure for humans and code agents — visual environment, skills, continuous learning, and distribution.

Coordinate your coding agents like a group chat — read receipts, delivery tracking, and remote ops from your phone. One pip install, zero infrastructure. A production‑minded orchestrator for 24/7 workflow

Open source AI terminal for cloud and infrastructure management, enabling you to deploy, troubleshoot, and automate services using natural language and intelligent agents.

Build agentic systems. Run them with confidence. Orchestrate agents, automate business processes, inspect every execution, and keep humans in control. Deploy Heym on your own infrastructure.

Next-Gen Multi-Agent Swarm Orchestration Engine. Coordinate 50+ LLM nodes (GPT-6, Claude 5.5, DeepSeek-V4) in a high-speed mesh network. "Redefining enterprise AI infrastructure. The operating system for collective machine intelligence in the AGI era."

CheetahClaws: A Fast and Easy-to-Use Agent Harness Infrastructure for Long-Horizon, Multi-Model, and Tool-Using AI Systems

Email, SMS & phone-call infrastructure for AI agents — send and receive real email and text messages, and place agent-driven outbound voice calls, all programmatically

Self-hosted AI Agents for your whole team — on your infrastructure, your models, around the clock.

Search & analytics data as infrastructure — MCP server for Google Search Console, Bing Webmaster Tools, Google Adsense and GA4, designed for AI agents and automation.

Open measurement infrastructure for agent-facing software. Separate operations from attempts, evidence from inference, and usage from value. Reach → Choice → Use → Utility → Value.

Open-source security agents for cloud, code and runtime. 45 built-in agents audit AWS, GCP, Azure, Kubernetes, GitHub and GitLab for privilege escalation, public exposure, supply chain and more, or build your own in one markdown file. Live, read-only access to your infrastructure.

构建受监督的、自我进化的 Agent 组织的基础设施 | Infrastructure for supervised, self-improving agent organization. 飞书/Telegram 手机端运行 Claude Code 或 Kimi Code（双引擎，两家原生订阅直接用），共享记忆、Agent 工厂、定时任务、通信总线。

Same agent Smaller bill. The tools and infrastructure to get more work from your AI. Fewer tokens. Less compute. Lower cost.

Scholar All-In-One: A research infrastructure for AI agents

Open-source infrastructure that turns scattered SKILL.md files into curated, retrieval-ready agent-skill corpora—with retrieval and evaluation tooling included.

Local code intelligence for developers and AI agents. Connect code, docs and infrastructure in a persistent graph, with CBM Lens, MCP tools, agent integrations and change-aware test selection.

Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.