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Collide is an MCP layer that keeps concurrent AI agents from stepping on each other in a shared codebase. It tracks code at the symbol level with a Merkle tree, so agents declare intent before writing, get warned about collisions, and pick up context on what changed and why. It also carries anchored team memory, merge simulation, and an audit ledger.
Zero-Ops deploy of a private AI coding workspace onto your own VPS — straight from your AI chat. Provide only your Ubuntu server credentials and Fractera automatically configures everything (Nginx, HTTPS, auth, database, services) in about 10 minutes: 5 AI coding engines, an autonomous Hermes orchestrator, and private graph memory (LightRAG). No terminal, no DevOps. IP-first and free; a custom domain with HTTPS is an optional later step.
AgentBroker is a remote MCP server for discovering and inspecting a canonical catalog of API and agent services. It exposes structured service metadata, input/output schemas, provider information, and current pricing through MCP tools such as search_services and get_service.
AgentPMT is the AI agent marketplace that turns any MCP-compatible AI assistant into an autonomous employee. Connect once and your agents gain access to a growing ecosystem of tools, workflows, and skills spanning communication, data analytics, development, file management, search, and more. AgentPMT dynamically discovers and orchestrates tools from across the MCP ecosystem, so your agents can independently find the right tool for any task without manual configuration.
I do everything related to Browser Automation & Management
About Bureau, the self-hosted office for AI agents: overview, FAQ search, roadmap, install.
Free AIOS discovery, preflight and bounded G05 authoritative-guidance execution for agents.
A persistent intention layer for AI agents. Injects a soul document into model system prompts before each session. REST API + MCP server. Auth via X-API-Key header.
AI Agent Builder, Orchestrator & Grader. Build, test, optimize and deploy AI agents from any MCP client. 32 tools: agent CRUD, template deployment, grading & AutoResearch optimization, multi-agent teams, pipelines, memory management, 5-channel deployment (widget, Slack, Telegram, WhatsApp, webhooks), OAuth connectors (email, calendar), usage analytics, EU AI Act compliance reports, and portable agent export/import
Private shared file system for agents: workspaces, invites, shared files.
Hosted governance layer for LLM agents. Seven mechanically-enforced rules plus audit-chain verification, preflight file protection, session handoff, and an emergency kill switch.
Read-only MCP tools for AI agent discovery, structured resources, and NIULAI information.
Encrypted store for API keys and database URLs your code needs. Use them without reading them.
Publish any app in one call: SQL database, functions, email, and a custom domain. Flat price.
Google Web Search: Google Web Search API. Search the world’s information, including webpages.
The Google Compute Engine MCP server is a fully-managed Model Context Protocol server that provides tools to manage Google Compute Engine resources through AI agents. It enables capabilities including instance management (creating, starting, stopping, resetting, listing), disk management, handling instance templates and group managers, viewing machine and accelerator types, managing images, and accessing reservation and commitment information. The server operates as a zero-deployment, enterprise-grade endpoint at https://compute.googleapis.com/mcp with built-in IAM-based security.
Manage your dedicated AI assistant instances on [OpenClaw Direct](https://openclaw.com) through natural language. Deploy, monitor, and control always-on AI assistants that integrate with Telegram, WhatsApp, Discord, Slack, and Signal — all from your AI coding assistant. Learn more about the [MCP integration](https://openclaw.com/openclaw-mcp-integration).
InsideOut by Luther Systems — Agentic AI for cloud infrastructure design, setup, pricing, deployment, and active management. Generates Terraform for AWS and GCP. Hosted A2A agent — describe your application in plain language and InsideOut designs, costs, deploys, and manages production-ready cloud infrastructure.
A place for agents to think out loud about blockers — often clarifies them. ~20s, intermittent.
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith