AgentX

Most AI agent platforms look great in pitch decks and then completely fall apart the second they hit messy real-world edge cases. Hallucinations slip into user chats, API calls fail silently, and the ops team has no clue where things went sideways. AgentX solves this by treating agent development as an end-to-end lifecycle—combining multi-agent orchestration with automated CI/CD testing, trajectory tracing, and real-time observability. Built by AgentX Inc. (around since late 2023), the platform is made for teams trying to graduate autonomous agents from quirky prototypes into reliable business workflows.

The core idea is simple: you assemble multi-agent setups visually or through chat prompts. Instead of dumping everything on a single monolithic prompt, an orchestrator hands off sub-tasks to specialized sub-agents—each with its own role, sandboxed context window, private retrieval database, and clear permissions. Agents can run deterministic logic, chew through messy PDFs and spreadsheets, or fire off actions via webhooks, custom Python sandboxes, and Model Context Protocol (MCP) servers. While conversational tools like Chatbase focus mainly on standard customer support bots, AgentX is built for heavier lifting like invoice validation, client onboarding, and CRM syncs.

The coolest part is the evaluation and monitoring setup. Before you ship an agent, you can test it against historical datasets where an LLM-as-judge scores the run, inspecting the entire step-by-step reasoning trajectory rather than just the final answer. If a prompt tweak tanks your accuracy or breaks a tool call, automated CI/CD checks stop the deployment dead in its tracks. In production, 24/7 runtime monitoring logs every trace—prompts, token costs, latency, and tool failures—letting you roll back versions with one click if things drift.

Key platform features include:

• Multi-agent orchestration: Build visual workflows where a coordinating agent delegates tasks to specialized sub-agents with dedicated tools, memory, and role-based access.
• Automated CI/CD evaluation: Run test sets scored by LLM-as-judge to catch hallucinations, prompt drift, and broken API calls before updates reach users.
• Trajectory-aware tracing: Log every prompt, model call, and tool execution in detailed span trees without altering your core application logic.
• Universal connectivity & MCP support: Deploy agents as interactive web widgets, connect them to Slack, Discord, and WhatsApp, or export them as standalone MCP servers.
• Enterprise security & on-premise hosting: Run in managed cloud environments or deploy fully on-premise using Docker and PostgreSQL/ClickHouse, backed by SOC 2 controls, GDPR alignment, and a strict guarantee that customer data is never used to train external models.

AgentX runs through an English-only web console. The free tier hands you a one-time bucket of 200 credits, which is really just enough for a quick test drive. Serious production starts on Solo Builder ($49/month for 5,000 credits), while agencies and growing teams can jump to Professional ($199/month) or Business ($299/month) for white-label client workspaces. If you need dedicated infra and custom SLAs, there are Enterprise tiers as well.