Why Anthropic’s "Agent Teams" is missing the most important part: Governance.

Ashutosh Singh — Thu, 05 Mar 2026 05:52:07 +0000

We’ve been shipping multi-agent orchestration since January. Here is why orchestration is the easy part—and why "Trust" is the real boss battle.

Anthropic just announced Agent Teams. It’s a great validation of the category, but while the giants are focusing on the how of connecting agents, we’ve been obsessing over the should.

I’ve been building Rigovo Teams for months. 37K lines of code, 8 specialized agents, and one Master Agent later, I’ve realized one thing: The hard problem isn’t orchestration. It’s trust.
1. Memory without Governance is just "Accumulated Hallucination"

Most multi-agent systems use a shared memory bank. If Agent A hallucinates an API call and Agent B reads that memory, the mistake is now "institutional knowledge."

In Rigovo, we built flat semantic memory using pgvector, but with a twist: **
**The Quality Gate. Every memory entry must pass through 24+ deterministic gates—checking for phantom APIs, secret leakage, and structural violations—before it’s allowed to influence the team.
2. The Separation of Concerns (Coder vs. Reviewer)

If you give an agent the same context for coding and reviewing, it will inherit its own biases. In our architecture:
The Coder and The Reviewer have completely separate contexts.
The Reviewer doesn't care about the Coder's "opinion."
It uses Rigour (our open-source governance layer) to perform structural analysis, not just LLM-based vibes.
3. The Audit Trail: Moving beyond the Black Box
"Why did the AI make this change?" is the most terrifying question in production.

If you can't trace a decision back to the exact agent, the exact timestamp, and the exact quality gate result, you don't have a team—you have a compliance nightmare.

Why we Open Sourced it
We believe the future of AI-generated code depends on transparency.

That’s why Rigour is MIT licensed. It’s already been forked by teams like Alibaba’s iFlow, proving that production-grade AI needs a governance layer.

Check out the repo here: github.com/rigovo/rigovo-virtual-team

Governance Layer: rigour.run

I’m excited to see the big players enter the space, but we’re building this for the engineers who need to ship code that actually works in production, not just in a demo video.

DEV Community: Ashutosh Singh

Why Anthropic’s "Agent Teams" is missing the most important part: Governance.