AI agent development company by Foxcomm, for New York and US businesses
As an AI agent development company for New York and US businesses, Foxcomm designs, builds and runs AI agents that take real work off your staff: sorting support tickets, drafting reports, chasing paperwork. The agents are built on open-source tools (n8n, Docker, Paperclip, OpenClaw and Hermes Agent), and every one ships with approval steps, spending limits and audit logs, so people stay in charge.
Foxcomm AI agent development services
Foxcomm covers the whole AI agent development journey, from the first call to an agent that is monitored and in daily use, so there is a single company to deal with.
Discovery and use-case selection
Together we pick one task that is worth automating and has clear boundaries, and agree up front what a good result looks like.
Custom AI agent development
Agents are built around how your team already works, on n8n, Docker, Paperclip, OpenClaw or Hermes Agent, whichever suits the job best.
Integration with your systems
Agents are connected to your business apps and data through n8n workflows, APIs and the Model Context Protocol (MCP).
Security and governance
Before an agent touches live systems it has least-privilege access, approval steps, spending caps and an audit trail.
Hosting and deployment
Agents run in isolated Docker environments, either on your own infrastructure or in the cloud, and local models are available when data has to stay in-house.
Support and monitoring
We keep your agents running and improving as part of your wider IT, through the same help desk you already use.
What agentic AI is, in plain terms
A chatbot answers questions. An automation follows fixed rules. An agent pursues a goal over several steps, uses tools, and knows when to check with a person.
Answers questions
Handy for drafting and searching, but it only responds when asked and can’t take action inside your systems.
Follows fixed rules
Dependable for predictable tasks, but it fails when inputs change and can’t make a judgment call on something new.
Pursues a goal
Plans its steps, chooses the right tool, checks its own work and escalates to a person when needed. This is the kind of system Foxcomm builds.
Our AI agent development stack
Each tool has a different role. Foxcomm selects, combines and secures them to fit what your business needs.
n8n
The visual layer that links agents to your apps and shows each step they take.
ExploreDocker
Where agents run safely: contained environments, local models and controlled access to tools.
ExplorePaperclip
How a group of agents is managed, with roles, goals, budgets, approvals and an audit trail.
ExploreOpenClaw
How agents reach your staff: one assistant inside the chat apps they already use.
ExploreHermes Agent
A self-directed agent that remembers its work, builds skills and gets better the longer it runs.
Exploren8n, Docker, Paperclip, OpenClaw and Hermes Agent are the property of their respective owners, and n8n is a trademark of its owner. Foxcomm is an independent IT services company, not affiliated with or endorsed by any of them.
n8n: the visual layer between your agents and your apps
An agent is only useful once it can reach your systems, and only trustworthy when people can see what it did. n8n offers both on a single canvas that non-developers can follow.
Visual builder, code when needed
Build workflows visually, and switch to code for any step that needs it.
500+ integrations, any API
n8n lists more than 500 built-in integrations, plus any API over HTTP and MCP, so agents and coding assistants can connect.
See every decision
Choose any model. Follow runs as they happen, or open an earlier run to see what the agent decided and why.
Human approval built in
Insert approval steps and set rules for what the AI may and may not do.
Self-host or use the cloud
Self-host it on-premises or in Docker to keep data inside your environment, or use n8n’s hosted option. The source code is on GitHub.
Controls for larger teams
n8n lists SSO through SAML and LDAP, role-based access control, audit logs, log streaming to a SIEM and Git-based version control. We confirm which plan you need.
How Foxcomm helps: design the workflows, connect your systems, add approval steps and access controls, and run n8n as part of your wider IT. n8n is fair-code licensed, so we check its license terms against your intended use.
Docker: a contained space for agents to work
Agents that act on your systems need limits. Foxcomm uses Docker to give them a contained place to run and one file that describes the entire stack.
- Isolated sandboxes. Docker Sandboxes give coding agents an isolated environment, locally or in the cloud.
- Local models. Docker Model Runner serves language models on your own hardware through an OpenAI-compatible API.
- Controlled tools. The Docker MCP Catalog and Toolkit links agents to outside tools via the Model Context Protocol. Docker marks the Toolkit as beta, so we test it thoroughly before it goes near production.
- One file for the stack. Docker Compose defines the agent, its models and its tool gateway in one place, so the stack can be rebuilt, reviewed and rolled back.
# Illustrative: a minimal agent stack in Docker Compose services: agent: build: . models: llm: endpoint_var: MODEL_URL model_var: MODEL_NAME environment: MCPGATEWAY_ENDPOINT: http://mcp-gateway:8811/sse depends_on: [mcp-gateway] mcp-gateway: image: docker/mcp-gateway command: --transport=sse --servers=duckduckgo use_api_socket: true models: llm: model: ai/gemma3:4B-Q4_0 context_size: 10000
Modeled on the structure in Docker’s own agentic AI guide. A production build also adds secrets handling, networking and monitoring.
Paperclip: manage a team of agents like a company
A single agent is a tool; several agents need management. Foxcomm sets up Paperclip to give them an org chart, goals, budgets and a human board that keeps control.
- Org chart. Agents are given roles, titles and reporting lines, and tasks trace back to a company goal.
- Heartbeats. Agents wake on a schedule, when a task is assigned, or when someone mentions them.
- Budgets. Every agent has a monthly budget, a warning at 80% and a pause at 100% unless the board overrides it.
- Board approval. By default, bringing on a new agent needs sign-off from the human board.
- Tickets and audit log. Tickets track the work, with tool-call tracing and an append-only audit log.
- Bring your own agent. It works with Claude, Codex, Gemini, Cursor, Hermes, OpenClaw, Pi and OpenCode, and is MIT licensed and self-hosted.
How Foxcomm helps: install Paperclip, connect your agents, configure budgets and approval rules, and monitor everything as part of your wider IT.
OpenClaw: an assistant inside the chat apps you already use
Most people won’t adopt yet another tool. Foxcomm sets up OpenClaw so the agent lives where your team already talks, served from one gateway on hardware you control.
- One gateway, many channels. One process handles Slack, Microsoft Teams, Telegram, WhatsApp, Discord, Signal, iMessage and web chat.
- Skills. Extend it with skills, including those from its ClawHub skills hub, or write your own.
- Your choice of model. Supported providers include Anthropic, OpenAI, Google Gemini, and Ollama for local models.
- Control UI. A browser dashboard for chat, settings and sessions.
- Runs in Docker. Docker is a supported way to install it, which fits how we keep it isolated.
Hermes Agent: an agent that gets better with use
Created by Nous Research, Hermes Agent runs on a server and keeps learning, remembering past work and turning it into reusable skills. Foxcomm deploys and secures it for you.
Memory that lasts
Memory the agent curates itself, with recall across sessions, so it doesn’t begin from scratch every time.
Skills it builds itself
It writes skills from experience and refines them as it uses them.
20+ platforms, one gateway
Use it from the command line, or through Slack, Telegram, Discord, WhatsApp, Signal, email and more.
Scheduled automations
Scheduling is built in for recurring jobs such as reports and checks.
Subagents
It can hand parts of a task to subagents and combine the results.
MCP and any model
It supports MCP, with providers such as Nous Portal, OpenRouter, OpenAI or any compatible endpoint.
Where it runs: Hermes Agent offers six terminal backends, and we usually pick Docker for isolation.
Which one fits your business?
Most Foxcomm projects use two or more of these. Here is how they differ.
| Tool | Best for | Runs on | What we set up |
|---|---|---|---|
| n8n | Visual workflows linking agents to your apps, with approvals | Self-hosted or n8n’s hosted version | Workflows, integrations, approval steps, access control |
| Docker | Containment, local models, controlled tool access | Your servers, workstations or cloud | Compose stack, sandboxes, MCP gateway and secrets |
| Paperclip | Managing several agents toward company goals | Self-hosted, local or remote | Roles, budgets, approvals, audit log |
| OpenClaw | An assistant in the chat apps your staff already use | Your own hardware | Channels, skills, model providers, hardening |
| Hermes Agent | Long-running autonomous work that gets better with use | A server, VM or serverless | Memory, skills, schedules, terminal backend |
Governed by design
An agent should never be a black box holding the keys to your business. Every Foxcomm build includes the same guardrails.
Accreditations apply to Foxcomm as an organization, not to the third-party tools.
Humans approve what matters
Anything risky, like sending, paying or deleting, waits for a person to approve it.
Budgets and limits
Spending and usage have caps, with warnings ahead of the limit.
Least privilege and isolation
Agents get the access they need and nothing extra, inside contained environments.
Full audit trail
Each action is recorded in a log, so you can always see what happened and why.
You decide where data goes and which model runs
Local models are an option where data has to stay in-house.
Why pick Foxcomm as your AI agent development company
Plenty of AI agent development companies hand over a demo and move on. Foxcomm is an IT company first, so what we build is secured, supported and properly run after launch.
Over 17 years in IT, since 2009
We look after the systems your agents depend on, from Microsoft 365 to cloud and cyber security.
ISO 27001 and Cyber Essentials Plus (UK)
Our own security accreditations inform how we build, host and handle your data.
Independent of any one tool
We recommend the best tool for each job, including n8n, Docker, Paperclip, OpenClaw and Hermes Agent, and we will say so when an agent isn’t the right answer.
Human control by design
Every AI agent development project we deliver includes approvals, budgets and audit logs.
New York and US delivery
Foxcomm delivers AI agent development to organizations in New York and across the US, remotely and on site.
Questions about AI agent development, answered
What does an AI agent development company actually do?
It designs, builds, secures and runs software agents that handle multi-step work for your business, such as sorting support tickets or drafting reports. Foxcomm also wires the agents into your systems, adds approvals and spending limits, and supports them once they are live.
How long does an AI agent project take?
That depends on the task. We begin with a brief discovery to pick one well-bounded task, then build a pilot in a sandbox before anything reaches live systems. Scope, timeline and running costs are agreed before work starts.
What does agentic AI development mean?
It means building AI agents that carry out multi-step tasks inside your systems rather than just answering questions. An agent picks tools, checks its own work and asks a person when it should. We design, build, secure and run them.
Are n8n, Docker, Paperclip, OpenClaw and Hermes Agent the only tools you use?
No. Foxcomm chooses the right tool for each job, and these five are our main focus. In Microsoft 365 environments we also build with Microsoft Copilot Studio, which our Data and AI page covers.
Can agents run on our own infrastructure so data stays in-house?
Yes. Docker Model Runner can run language models locally, OpenClaw and Hermes Agent can use local or hosted models, and Paperclip is self-hosted. We choose the setup based on where your data is allowed to go.
Is OpenClaw safe for business use?
Only with careful setup. OpenClaw’s own documentation covers its trust model, sandboxing, access control and prompt injection, since an assistant that acts for you needs firm boundaries. We run it in isolation, limit its reach and review any skill before it is installed.
How do you keep an agent from doing something costly or wrong?
With layers: least-privilege access, human approval for risky actions, budgets and limits, and an audit log of every action. Paperclip, for instance, gives each agent a monthly budget, warns at 80% and pauses it at 100%.
What does agentic AI development cost?
Discovery and pilots are quoted at a fixed scope. Running costs, such as model usage and hosting, depend on the tools and workload, so budgets are agreed with you up front. Request a quote and we will price it against your goals.
Do you work with organizations outside New York City?
Yes. We work with organizations across the US, remotely, and visit on site where it helps.
Related services
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