Your AI Agents,
Your Rules.
Create, train, and deploy intelligent AI agents in minutes. Equip them with custom knowledge, personality, and tools — then deploy across web, API, and 11+ messaging channels.
Health, sign-in, paid billing settings, docs, blog, and dashboard paths render without WAF challenges after deploy run 25286793624.
Run 25286891907 passed Hermes, NanoBot, ClawBot/OpenClaw, and OpenFang LiteFS from main.
The final audit reported matched_ephemeral_apps=0 and cost 0.049604 <= 1.00.
Agent runtime
Agent Runtime for AI Engineering
AgentNexus gives teams a runtime layer for AI agents that can understand project context, call tools, generate useful artifacts, and leave verifiable evidence behind.
Research Runtime
Convert ambiguous market, product, or technical questions into sourced intelligence that teams can act on.
Market brief, competitor set, technical question, or decision context.
Research brief with source trail, assumptions, risks, and next actions.
Builder Runtime
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 UX direction, system assumptions, and launch plan.
Release Runtime
Investigate builds, deploys, Cloudflare Workers behavior, browser smoke, and regression signals with a release-engineering mindset.
Failed build, warning cluster, production URL, browser event, or QA concern.
Root cause, corrective patch, verification chain, and release-ready note.
Knowledge Runtime
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.
Policy-aware context that keeps agent work aligned with team standards.
Workflow Runtime
Coordinate tools, scripts, APIs, and multi-step agent procedures through inspectable execution paths.
Repeatable process requiring tool use, handoffs, or production verification.
Auditable workflow with checkpoints, ownership boundaries, and outcomes.
Assurance Runtime
Score agent behavior against scenarios, safety expectations, browser signals, and release gates.
Scenarios, expected behavior, scoring rubrics, target endpoints, and safety requirements.
Comparable evaluation results with pass/fail evidence and regression signal.
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."
Workflow branching
Branchable Workflow Model
Treat agent work like code. Start from shared context, branch the task, execute with tools, checkpoint evidence, and promote only after validation gates pass.
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
Built-in Control Plane
AgentNexus bundles the controls that agent teams usually have to assemble by hand: project context, skills, tool execution, verification, memory, and human approval boundaries.
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 shell, browser, eval harnesses, deployment tooling, MCP resources, and external APIs.
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 Gates for Agent Reliability
AgentNexus treats agent output as operational work product. Critical workflows should pass scenario, runtime, browser, build, and audit gates 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
Fleet Operations for Production Agents
AgentNexus is built for teams operating many agents, skills, workflows, demos, and deployment paths across real projects rather than one-off chat sessions.
Deploy Workloads
Operate included OpenClaw cloud agents with visible lifecycle state, health checks, rollback controls, and browser QA evidence.
- OpenClaw GA self-serve managed deployment
- 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
Cloudflare
Supabase
Stripe
Anthropic
OpenRouter
GitHub
Vercel
Google Cloud
Docker
Railway
Discord
PostgreSQLCloudflareSupabaseStripeAnthropicOpenRouterGitHubVercelGoogle CloudDockerRailwayDiscordPostgreSQLOperational 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 OpenClaw agents, deploy lifecycle, command/workspace operations, and explicit credit packs.
Starter
- Light production entry for one agent
- 1 included OpenClaw deploy slot
- 2,000 credits/mo with 3-cycle rollover
- Credit packs for extra usage, no hidden overage
- OpenClaw GA; NanoBot/OpenFang roadmap preview
- Widget, workspace, and command center
Advanced
- Primary production plan for teams
- 10 included OpenClaw deploy slots
- 20,000 credits/mo with 3-cycle rollover
- Per-agent cost, uptime, and slot dashboard
- Credit packs for extra usage, no hidden overage
- Priority support and release guidance
- API access, branding, and workspace operations
Enterprise
- Unlimited Assistants & Agents
- Unlimited LLM credits
- Dedicated cluster
- SSO & audit logs
- SLA guarantee
- White-label option
Credit packs: buy 1,000-100,000 extra credits at $0.01/credit, explicitly through Stripe Checkout. 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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