Ship agents that
show their work.
Build an agent once, run it on any model, give it real tools over MCP, and see every decision it made — the tools it called, the tokens it burned, and what it cost — without bolting on a second observability product.
Every answer has receipts.
Your users see a clean answer. Move the lens across it to see what actually happened underneath — every tool call, argument, latency, token and dollar, linked to a full trace.
- Blast radius: checkout and subscription renewals — roughly 18% of active sessions.
- Likely cause: connection-pool exhaustion after last night's deploy of payments-api v4.12.
- Immediate mitigation: roll back to v4.11 and raise the pool ceiling to 200.
- Related history: two near-identical incidents in the last 90 days, both resolved by the same rollback.
Watch one prompt become a plan.
AIVerse turns a single question into a governed sequence: pick the agent, inject the right skills, resolve the tool fleet, call the model, and stream the answer — with every hop timed and traced.
sre-incident-assistant@v7 — pinned version, with diff and one-click revert to any prior version.incident-triage, five-why. Attach or swap skills at any point in an agent's lifecycle.claude-sonnet-4-6 — swappable per agent, per environment, without touching the agent definition.One agent. Every model.
The agent definition, its skills and its tools stay identical. Switch the model underneath it — for cost, latency, sovereignty or vendor risk — and keep shipping.
agent definition, skills,
69 MCP tools, guardrails, trace export.
Only the model binding differs.
Built for teams running agents in production
Not a chat wrapper — the platform layer underneath your agents.
A million-template head start
Search a seeded library of a million agent templates spanning 20 industries and 20 functions, clone the closest match with its suggested MCP servers and tools already attached, and edit from there instead of from an empty prompt box.
MCP tool fleets
Connect agents to real systems over Model Context Protocol. Register servers, browse a tool catalog, and test any tool before an agent ever calls it.
Skill registry
Reusable capabilities you attach to an agent at build time or hot-swap later — no redeploy, no prompt surgery.
Agent taxonomy
Every agent carries an industry, function, seniority, compliance tags and language support, so a fleet measured in thousands stays searchable and governable.
Versioning & diff
Every edit is a version. Compare any two side by side and revert in one click when a prompt change quietly makes things worse.
Observability included
Langfuse traces, Prometheus metrics, Loki logs and Tempo spans wired in from day one — with cost attribution per run, per agent, per user.
Guardrails that hold
Rate limits, blocklists, circuit breakers and result caching in front of every MCP server, plus role-based access on agents and conversations.
Everything AIVerse ships
The short version of a long changelog.
Agents
- 1,000,000-template starter library
- Visual agent builder
- Versioning with diff & revert
- Taxonomy: domain, maturity, audience
- Compliance tagging: GDPR, HIPAA, SOC 2
- Agent marketplace with ratings
- Import / export as JSON
- Multi-agent flows
Tools & skills
- MCP server registry
- 1,617-server MCP catalog
- Tool catalog & live tester
- Skill registry with hot attach
- Per-server health dashboard
- Rate limits & circuit breakers
- Tool result caching with TTL
- RAG over your own corpora
Models
- Anthropic, OpenAI, Google, Bedrock
- Azure OpenAI & custom endpoints
- Open models via Llama and DeepSeek
- Per-agent model binding
- Prompt pipelines
- A/B prompt experiments
- Preset export / import
Operations
- Langfuse tracing & evaluations
- Prometheus, Grafana, Loki, Tempo
- Real-time cost meter
- Cost alerts & budget thresholds
- Session management & revocation
- Shared read-only conversation links
- Self-hosted, Docker or Kubernetes
You are not starting from a blank prompt.
Every number here is counted from a running AIVerse deployment, not projected.
Stop shipping agents you can't explain.
See AIVerse running against real tools, real traces and your own models — in about thirty minutes.
Book a demo