Work · Tarva · 2025–2026 · Operational · daily use

Tarva’s own infrastructure · supports product delivery · not a client engagement

AgentGen

140+ specialist agents, reproducible and versioned.

The problem

Generic prompts produce generic work, and a delivery system that needs a UX architect, a patent strategist and a security engineer on each project needs those experts to be dependable and easy to find.

The system

Tarva's agent factory and registry: a Python CLI that generates specialist agents, a runtime registry of agent definitions with methods, skills, templates and quality rubrics, semantic search, signing and benchmarking.

Outcome

Each project can call on reproducible, versioned specialist agents instead of improvising an expert again in every session.

Proof

AgentGen is operational and used daily by three companies, including inside Serras.

Role

AgentGen is Tarva's own system. Tarva led it with AI assistance across agent definitions, skills, semantic routing, signing, modernization, benchmarks and lifecycle.

Supporting stack

Python CLI · Markdown/YAML · Supabase pgvector · Ollama · TypeScript MCP

Scale

140+ agent definitions · 3 companies daily

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