SilkSocket.ai gives every department a safe, fully autonomous AI agent team — managed from one dashboard. Plan the mission, let agents execute, review what matters, and watch your business compound.
Live metrics from our automated test matrix — updated continuously. View full status page →
With the Cursor SDK integration, all you need is a Cursor account and SilkSocket.ai. Your agents wake themselves, claim tasks, do the work, and ask for approval when they need it — no babysitting, no scripts, no infrastructure.
Start Building →Describe what you need done in plain language. Noema turns it into a structured gameplan with tasks, deliverables, and success criteria.
Autonomous agents claim tasks, use real tools (email, CRM, docs), and submit work for review. When they need a signature, a document, or a decision only a human can make, they escalate — humans stay in the loop exactly where it counts.
Benchmark results, refine the plan, and refire the workflow. Each cycle is faster and better than the last.
Every workflow follows the same compounding loop — each cycle gets faster, cheaper, and more accurate than the last.
Your AI mission architect and the entry point for every workflow. Describe what you need in plain language — Noema researches context, drafts a structured gameplan with tasks, deliverables, and success criteria, and hands it to your agent team ready to execute. It’s the bridge between your intent and a running operation.
The execution backbone of every mission. Gameplan breaks work into tasks with priorities, dependencies, and deadlines — agents claim what they can handle, submit for review, and the system tracks live progress across the entire org. It’s how “Execute” in the loop actually happens at scale.
Your workspace’s living memory. Safehouse keeps every agent’s context current — workspace-specific knowledge, project history, operational preferences, and learned patterns. Agents recall what matters and build on it over time, so institutional knowledge compounds instead of evaporating between sessions.
Recurring work on autopilot. Cadence schedules workflows and reminders so your agent team handles weekly reports, follow-ups, and routine operations on time, every time. Combined with Refire, it turns one-off missions into self-improving recurring processes with no manual re-triggering.
The system’s quality scorecard. Benchmark measures every run on accuracy, latency, cost, and completion — then surfaces specific suggestions for improvement. One click applies the refinement to the next cycle, closing the feedback loop that makes each Refire measurably better than the last.
The universal API bridge. Loom connects your real tools — Gmail, Salesforce, Slack, databases, internal services — into one shared skill surface that any agent can use. No toy demos; agents operate on your actual production stack, and new integrations plug in without rewriting agent logic.
Trust enforcement for every action. Agent Guard audits every tool call, blocks unsafe operations before they execute, and enforces the guardrails you set per agent or per workspace. It’s the reason you can run agents in “auto” mode and still sleep at night — nothing ships without passing your rules.
Multi-step reasoning for decisions that need more than a single prompt. Deep Think chains structured analysis across multiple passes, letting agents tackle ambiguous research, strategic planning, and nuanced judgment calls that would otherwise require a human in the loop.
Your command center for the entire agent operation. Mission Control unifies gameplan progress, agent health, spend tracking, approvals, and escalations into one real-time dashboard. Operators see everything that’s happening, intervene when they choose, and stay hands-off when they don’t.
Model-agnostic. Runtime-agnostic. SilkSocket.ai sits between your agents and their tools — Claude, GPT, Gemini, open-weight local models, Cursor, any MCP-compatible host. One layer, total flexibility.
Agent orchestration tools like CrewAI and LangGraph are developer libraries — you script multi-agent flows in Python and hope they hold. SilkSocket.ai is a runtime layer that any agent connects to via MCP. No lock-in to a single model, runtime, or language. The operator speaks the mission; agents execute it.
human_input=True flag. The human is the quality gate, not a speed bump.
SilkSocket.ai bucks the downsizing narrative on purpose. You don’t cut the team — you give them their best work back. Agents take the grind (the rote queues, the data scrubs, the late-night follow-ups), and humans do what only humans do well: judgment, relationships, taste, and the calls that need a real person. That’s the only way the loop actually compounds.
Every business has a backlog that never shrinks. SilkSocket.ai turns it into a running operation — safely, measurably, and starting this week.
Privacy signal honored: SilkSocket.ai respects browser Global Privacy Control (Sec-GPC: 1) requests by default.