
Savants — domain agents for systems you run
Svantic helps you build agents that can
turn any service into an agent.
A savant is a domain-expert agent for an enterprise system — Zendesk, billing, CRM, or your own APIs. Svantic is the mesh where those savants are discovered, orchestrated, and governed, while tools and data stay on your side.
What you get.
Every capability ships with the platform. Not a roadmap — production-ready infrastructure.
Discovery & Routing
Agents register at runtime. The mesh discovers capabilities, routes tasks by context and policy, and handles health monitoring.
Dynamic Orchestration
No static DAGs. A planner decomposes tasks, a builder constructs the agent mesh, an executor runs it. The workflow emerges from the task.
Knowledge Store
Every execution teaches the next. A learner agent distills patterns into a persistent, vector-indexed store. Intelligence that compounds.
Bidirectional Tools
Agents own their tools locally via MCP. The mesh routes work but never touches your code, credentials, or data. Data sovereignty by default.
Governance & Tenancy
Multi-tenant from the ground up. JWT authentication, policy-based admission, tool guards on every invocation, session-level authorization.
Telemetry & Traces
Structured spans for every capability, LLM call, and tool invocation. Token usage tracking. Pluggable exporters. Full trace replay.
Where Svantic fits.
Not another agent framework. An enterprise platform where specialized savants plan, build, execute, and learn — so your agents ship to production with governance, observability, and intelligence built in.
Platform
What it does
What Svantic adds
LangChain
Agent library
Agent runtime — orchestration, governance, learning
Temporal
Workflow engine
Dynamic planning — no static DAGs, graph emerges from task
Datadog
Observability
Observability + orchestration + governance in one layer
API Gateway
HTTP routing
Capability-based routing with context, policy, and sessions
SDK packages
@svantic/sdk
A2A agents — capabilities, agent cards, endpoints. Works standalone.
@svantic/sdk/mesh
MeshConnector, auth, discovery. Opt into the mesh when ready.
@svantic/sdk/telemetry
Structured spans, usage tracking, pluggable exporters.
5 lines to become an agent.
No rewrite, no new framework, no infrastructure to deploy. Add five lines to your existing service.
Your service now has an A2A-compliant agent card, receives tasks from the mesh, and its capabilities are first-class tools in the AI's reasoning. No sidecar, no container, no YAML.
Tools execute where data lives.
The AI reasons centrally, but execution happens at the edge. Credentials never cross the wire. Data sovereignty is structural, not policy-based.
1
A user sends a task to Svantic (e.g., "How many units of SKU-1234 are in stock?").
2
The Orchestrator classifies the task and identifies the relevant agent capability.
3
The Executor sends an A2A request to your agent's /ask endpoint.
4
The SDK on your machine calls your handler — your code, your process, your database.
5
Your handler returns a result. The SDK serializes it back to Svantic.
6
Svantic only sees the result you chose to return. Never the query, credentials, or raw data.
Regulated Industries
Finance, healthcare, insurance can adopt AI agents without exposing sensitive data to a third-party runtime.
Multi-Team Orgs
Connect services owned by different teams without sharing credentials or database access across team boundaries.
Security Posture
Your firewalls, VPNs, and network policies remain unchanged. The agent is inside your perimeter, not outside it.
Governed at every layer.
Not a roadmap item. Security ships with every deployment.
JWT Authentication
Signed tokens on every request. No token, no access.
Tool Guards
Pre-execution gates on every tool call. Command blocking, domain restrictions, approval workflows.
Tenant Isolation
Structural boundaries. Policy-based admission controls which agents can register under which tenant.
Agent-Local Execution
Tools run on the agent's machine. Credentials never leave the agent's environment.
Three deployment models.
Same platform, different topologies. Start simple, scale without rewrites.
Standalone
Central mesh for your agent fleet. Platform team runs it. Full orchestration, knowledge, governance.
Sidecar
One mesh instance per agent. Agent team owns it. Independent scaling and failure domains.
Embedded
SDK-only. Pure A2A agent with local telemetry. No mesh dependency. Opt in later.