Your AI Agents,
Your Rules.
Build customer-facing and internal AI agents in minutes, with governed deployment when your team is ready.
Connect knowledge and tools with clear owner review before the agent performs sensitive work.
Move from preview to widget, API, or managed deployment with visible state and rollback expectations.
Use scenario checks, docs, and research notes to understand what the agent is ready to handle.
Agent workflows
Launch useful agents without starting from a blank prompt
AgentNexus helps SaaS teams preview, ground, test, and launch agents for customer support, onboarding, operations, and knowledge workflows.
Research Assistant
Turn market, product, or support questions into concise briefs your team can review.
Market brief, competitor set, technical question, or decision context.
Research brief with assumptions, risks, and next actions.
Blueprint Builder
Turn a URL, product idea, or business process into an agent blueprint and implementation path.
Website URL, product thesis, target user, or workflow description.
Agent blueprint with audience, knowledge needs, guardrails, and launch path.
Internal Operations
Give teammates an agent that can follow approved process, collect context, and prepare next actions.
Internal workflow, support process, account question, or QA concern.
Structured answer, owner handoff, and review path.
Knowledge Agent
Load repositories, specifications, skills, and runbooks as operating context instead of starting each session cold.
Repo docs, local skills, SOPs, support knowledge, and project constraints.
Grounded responses that stay aligned with approved team material.
Workflow Agent
Coordinate tools, scripts, APIs, and multi-step agent procedures through inspectable execution paths.
Repeatable process requiring tool use, handoffs, or production verification.
Inspectable workflow with checkpoints, owner boundaries, and outcomes.
Evaluation Agent
Check agent behavior against scenarios, safety expectations, and launch-readiness criteria.
Scenarios, expected behavior, scoring rubrics, and safety requirements.
Comparable evaluation results with pass/fail evidence.
Why AgentNexus
AI Agents That Actually Work
Most AI tools give you a chatbox. AgentNexus gives you a complete agent platform — with knowledge management, conversation memory, deployment tools, and a CLI for automation.
Whether you're a solo founder automating customer support, or an enterprise deploying 50 specialized agents — AgentNexus scales with you. Powered by the best LLMs, managed by your rules.
"Build once. Deploy everywhere. Let your agents do the work."

Launch workflow
From blueprint to governed launch
Start with an agent blueprint, review the knowledge and boundaries, test the experience, and launch only when the owner and workflow are clear.
Initialize Context
Collect user intent, repository state, skills, documentation, environment details, and constraints before the agent takes action.
Create a Task Branch
Convert the request into a bounded execution branch with scope, assumptions, risk checkpoints, and verification criteria.
Execute with Tools
Use shell, APIs, browser automation, eval harnesses, codebase edits, and deployment workflows within the declared branch.
Checkpoint Evidence
Capture tests, build output, browser smoke, health checks, eval scores, and production observations as branch evidence.
Promote or Iterate
Promote the work when gates pass, or keep iterating with the evidence preserved in docs, runbooks, and append-only audit trails.
Platform controls
Controls buyers and builders can both understand
AgentNexus keeps the public story simple while giving technical reviewers a path into docs, research, and deployment controls.
Repository Context
Agents inspect architecture, file ownership, tests, conventions, and dependency boundaries before modifying a project.
Changes fit the existing system instead of behaving like isolated generated code.
Skill Policies
Local skills encode operating procedures, QA gates, deployment rules, and domain-specific constraints.
Agent behavior becomes repeatable, governed, and aligned with how the team actually works.
Tool Orchestration
Agents coordinate approved knowledge, workflows, integrations, and team review steps.
Plans become executable workflows with observable intermediate states.
Verification Hooks
Meaningful work can be checked through tests, builds, browser events, production checks, and scored evals.
Teams can inspect proof instead of accepting model confidence as the final answer.
Operational Memory
Runbooks, skills, docs, and result logs preserve project knowledge outside transient chat context.
Every production lesson can make the next agent run safer and faster.
Approval Boundaries
Routine work can proceed quickly while destructive, security-sensitive, or ambiguous changes require alignment.
Automation stays accountable without slowing every low-risk task.
Evaluation evidence for agent reliability
AgentNexus treats agent output as product behavior. Critical workflows should be checked against scenarios, boundaries, and review paths before they are trusted.
Gate dimensions
- Scenario coverage and task completion
- Blueprint validity and output relevance
- Tool, prompt, and safety boundaries
- Browser and runtime failure signals
- Production readiness and rollback confidence
Fleet operations
Operations for teams running more than one agent
AgentNexus is built for teams operating customer-facing and internal agents across real workflows rather than one-off chat sessions.
Deploy Workloads
Operate included AgentC Runtime and Hermes cloud agents with visible lifecycle state, health checks, rollback controls, Tool Gateway evidence, and browser QA evidence.
- AgentC Runtime/Hermes managed deployment with production pilot evidence
- NanoBot and OpenFang shown as WIP roadmap runtimes
- Lifecycle timeline, diagnostics, and cleanup controls
Operate Agent Fleets
Keep multiple agents and workflows observable after launch through logs, eval history, and runbook discipline.
- Skill and runbook enforcement
- Regression-aware eval history
- Dedicated tracks for warning and performance debt
Govern Risk
Separate routine execution, security-sensitive changes, dependency risk, and human authorization boundaries.
- Approval gates for high-risk actions
- Auditable production change records
- Separate dependency and security remediation workflows
Production control surface
Security, reliability, and cost of change are managed through operating controls, not vague promises.
- Authenticated execution paths
- Least-privilege access boundaries
- Auditable decisions and eval records
- Human authorization for high-risk actions
Harness the Power of Industry-Leading Cloud SaaS
Operational Cost
Hosted Cloud Agents, Not Just Chat Credits
Advanced is the primary production plan. Starter is a light production entry point; every plan is built around hosted AgentC Runtime/Hermes agents, Tool Gateway reads, deploy lifecycle, command/workspace operations, and explicit credit packs.
Starter
- Light production entry for one agent
- 1 included AgentC Runtime/Hermes deploy slot
- Cited web search and Public GitHub repo import
- Google Workspace OAuth read actions
- 2,000 credits/mo with 3-cycle rollover
- No raw shell/browser by default
Advanced
- Primary production plan for teams
- 10 included AgentC Runtime/Hermes deploy slots
- 20,000 credits/mo with 3-cycle rollover
- Per-agent cost, uptime, and slot dashboard
- Beta ephemeral cloud sandbox for repo demos
- Calendar, Sheets, and Drive writes with approval
- Developer Mode request path
Enterprise
- Managed Browser approval-gated pilot with domain allowlists
- Gmail send approval and sensitive-action audit
- Session screenshots and audit logs
- Developer Mode diagnostic access with review and kill switch
- SSO, custom security, and support review
- White-label and dedicated cluster options
Credit packs: buy 1,000-100,000 extra credits at $0.01/credit through Stripe Checkout. Stripe-hosted stablecoin checkout is available for credit packs where approved. Rollover: unused included credits carry forward for 3 completed billing cycles.
Join the Beta Network
Access the next generation of autonomous operations. Currently by invitation only.
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