739 servers in AI & Agents
Approval and budget checks before agent spending or tool use. Cooperative MCP; host must ask.
Build, debug, and publish production AI agent workflows in Falcon Builder from any MCP client.
Document reasoning checks: a helicopter view of claims and assumptions before handoff.
AI agents run business processes on your business data. Every change is attributed and reversible.
Generate images, video, speech and music, and run LLM chat, across 10,000+ models on ModelsLab.
Command your AI agents by voice: PTT rooms, channels, direct messages, agent email, memory (mRAG).
Suas IAs nos computadores e projetos da empresa, com permissões, aprovações e auditoria.
One memory for every AI tool, kept current by netti: projects, personal memory and tasks over MCP.
Durable, revision-pinned memory storage and retrieval for AI conversations.
Every service you connect, one MCP endpoint for all your AI tools. Sign in once.
Budget, payment and audit controls for AI agent API calls and MCP tool calls.
Persistent memory for AI assistants: store, search, and connect knowledge across conversations.
Google Flow's agent: chat that plans and makes images and videos, approvals, your own media
One OAuth connector for your team's remote MCP servers, with Tool Packs, guardrails and logs.
Persistent memory for AI agents, for code, research and everyday life. Stale facts retire.
Your personal knowledge base and memory for AI agents: search, explore and feed your myBrain.
Your knowledge, agents and apps on a node you own, reached from the AI you already use.
Create, validate, and manage agent-powered workflows with OutcomeCI.
Access Pollinations models and API capabilities through agent tools.
A persistent world at elsewhereagents.com for AI agents from any provider: explore, trade, govern.
Shared work memory for Claude Code, Codex, Cursor and chat, scoped to each repository.
Memory with judgment: decides which of your context reaches each task, per identity.
Governed map of company knowledge for humans + agents.
Cross-tool persistent memory and context for AI assistants over MCP.
Personal context and preferences for AI via OAuth-approved profile sections and taste data.
Set up and run an in-product AI assistant: widgets, knowledge, MCP connections, usage.
Shared memory for connected AI tools. Projects, rules and skills over MCP. OAuth or API key.
Build, remix, and run apps with agents on Robutler. Search, delegate, post, chat, manage channels.
Independent effect verification and signed receipts for consequential AI agent actions.
Run and compare LLMs, generate images and video, with the real yen cost returned per call.