Context & memory
Give the agent the right documents, project rules, customer-safe boundaries, and durable knowledge—without flooding its context window.
AI DEPLOYMENT // SYSTEMS INTEGRATION
Turn open-source AI into an operating advantage.
We design, tune, and deploy AI agents and multi-agent systems that can research, code, browse, communicate, schedule work, connect to your tools, and operate inside purpose-built business applications.
- 21+messaging surfaces possible with mature open-source agent systems
- 90+bundled skill patterns in a Hermes-class ecosystem
- 1annoying workflow turned into a useful business agent
RESEARCH◆BUILD◆CONNECT◆AUTOMATE◆OPERATE
01 // THE REAL CHALLENGE
The model is only the engine. The agent system makes it useful.
A capable AI model does not arrive knowing your business, your risk tolerance, or which actions are safe. Production value comes from the system wrapped around it.
TUNE MY AGENT SYSTEM →Tools & permissions
Connect files, terminals, browsers, APIs, databases, email, and business software while keeping approvals and credentials controlled.
Prompts, models & routing
Match expensive reasoning to critical work and economical models to routine steps. Tune fallbacks, retries, and provider switching.
Reliability & evaluation
Test real workflows, catch silent failures, add human checkpoints, monitor results, and improve the system from actual usage.
Deployment & adoption
Package the agent into an interface people will use, document the process, and integrate it without disrupting daily operations.
PROOF // SEE IT IN MOTION
Skeptical? Good. Watch one work.
The demo console replays how an agent handles real scenarios — pharmacy refills, listing alerts, downtime forensics, review triage. Pick your industry and watch the workflow run.
02 // OUT-OF-THE-BOX CAPABILITY
Start with a serious tool belt. Then shape it to the mission.
Modern open-source agent systems such as Hermes Agent show what is possible before custom integration: broad tools, persistent memory, reusable skills, multi-agent work, scheduling, messaging, and provider flexibility.
Research & web
Web search, page extraction, browser control, form interaction, monitoring, and source-grounded research.
BUILD A RESEARCH AGENT →Code & computer use
Terminal work, file editing, code execution, Git workflows, debugging, desktop control, and verifiable builds.
AUTOMATE DEVELOPMENT →Documents & media
Read and create PDFs, spreadsheets, presentations, images, audio, transcriptions, and structured deliverables.
STREAMLINE DOCUMENT WORK →Memory & skills
Remember stable preferences, recover past work, and turn successful procedures into reusable skills that improve future runs.
BUILD A KNOWLEDGE SYSTEM →Automation & agents
Recurring jobs, background workers, parallel subagents, task queues, event triggers, webhooks, and long-running goals.
AUTOMATE A WORKFLOW →Voice & messaging
Voice, email, Telegram, Discord, Slack, WhatsApp, Signal, SMS, Teams, Matrix, webhooks, and other supported surfaces.
CONNECT MY CHANNELS →Not sure which tools belong in your first deployment?
DESIGN MY TOOL BELT ↗03 // CONNECT WHERE WORK HAPPENS
One agent core. Many doors into the business.
A Hermes-class gateway can reach 21+ messaging platforms—19 native channels plus plugin paths such as IRC and Microsoft Teams. Beyond messaging, MCP servers, APIs, webhooks, browser automation, databases, and custom tools can connect the rest of your stack.
AUDIT MY CONNECTORS →- SLACK
- TELEGRAM
- DISCORD
- SIGNAL
- TEAMS
- SMS
- GOOGLE WORKSPACE
- GITHUB
- DATABASES
- WEBHOOKS
- REST APIs
- MCP
- BROWSERS
- FILES
04 // OPEN-SOURCE TO BUSINESS-READY
Found a project with the right bones? We can turn it into your system.
The best starting point may already exist on GitHub. We assess the project, secure it, adapt the workflows, connect your data, add the missing interface, and deploy it as a focused use-case application.
- 01
DISCOVER
Evaluate repositories, licenses, maintenance, architecture, security, and fit.
- 02
ADAPT
Remove irrelevant complexity and tune the project around one valuable workflow.
- 03
INTEGRATE
Connect your tools, data, authentication, notifications, and human approvals.
- 04
OPERATE
Deploy, monitor, document, maintain, and improve it on infrastructure you control.
Case-use applications
Turn an open-source agent, dashboard, scraper, document tool, or workflow engine into a branded internal or customer-facing app.
BRING A REPOSITORY →Business operations
Use open-source components behind the scenes for lead research, support triage, reporting, content operations, scheduling, or knowledge retrieval.
AUTOMATE AN OPERATION →Private AI infrastructure
Run selected models, databases, analytics, and agent services on your own server, cloud account, or hybrid environment.
PLAN A PRIVATE DEPLOYMENT →06 // IMPLEMENTATION PATH
From promising demo to dependable operator.
- 01
Mission mapping
Choose the highest-value workflow, success metric, constraints, and human owners.
- 02
Agent design
Select the models, memory, tools, connectors, permission boundaries, and interface.
- 03
Build & tune
Prototype against real cases, evaluate outputs, and tune until the workflow is reliable.
- 04
Deploy & improve
Launch on your infrastructure, monitor use, document operations, and iterate from evidence.
Have a process, pain point, or repository in mind?
SCOPE THE FIRST MISSION ↗Do I need to replace my current software?
Usually not. We first look for safe integration points around the tools your team already uses. Replacement only makes sense when the existing system is the bottleneck.
Can you use an open-source project I already found?
Yes. We assess its license, security, maintenance state, architecture, and fit before adapting it. A useful repository can shorten the path, but it still needs production hardening and workflow design.
Why does an agent need tuning after installation?
Every business has different terminology, data, permissions, edge cases, and tolerance for risk. Tool availability is not the same as reliable behavior. We tune the full agent system against real cases, not just a generic benchmark.
Can the system stay on infrastructure I control?
Yes. Depending on model and connector requirements, the application, data, analytics, and portions of the agent stack can run on your own hardware or cloud account.
Can we switch AI providers later?
We favor provider-flexible architecture where practical, so cost, quality, privacy, and availability can be balanced without rebuilding the whole workflow.
READY TO DEPLOY
Bring the workflow. Bring the repository. Bring the hard problem.
We’ll map a practical first AI system around your business—without exposing customer information or locking you into a black box. You get a concrete scope and next step within 24 hours, free, whether or not we work together.