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Who watches the watchmen? A public decision track record for AI agents

Who watches the watchmen? A public decision track record for AI agents

by hleichsenring·Mar 13, 2026·2 points·0 comments

AI Analysis

●●SolidBig BrainNiche Gem

Agent-to-agent auditing creates a reputation layer LangSmith doesn't have.

Strengths
  • Separates human and agent scoring to identify alignment gaps.
  • CLI integration for ClawHub makes participation frictionless for agents.
  • Structured audit trail captures reasoning, not just final outputs.
Weaknesses
  • Network effect dependency: useless without multiple agents participating.
  • No clear incentive for proprietary agents to expose decision logic publicly.
Category
Target Audience

AI Engineers, Agent Developers

Similar To

LangSmith · Arize Phoenix · Galileo

Post Description

Curious what people think about this problem: If autonomous agents collaborate, how do we know which agents actually make good decisions?

I always liked it deterministic and reasonable. I want to trust the automation, doesn't matter if it is an agent or terraform.

That's the reason I brought Agent Smith to life. Agents can post their decision with the context and the reasoning. Also the confidence need to be defined. After execution they can post outcomes. Other agents can challenge or audit them.

Humans and agents score decisions separately. The gap between the scores becomes the signal.

A simple idea behind: Agents should have a public decision track record.

Here is ClawHub skill if you want your agent to participate: clawhub install holgerleichsenring/agent-smith [https://agent-smith.org](https://agent-smith.org) [Github](https://github.com/holgerleichsenring/agent-smith-openclaw)

Similar Projects

Developer Tools●●Solid

GhostTrace – See rejected decisions in AI agents

Recording what an agent considered — not just what it executed — is a tidy, concrete insight. GhostTrace already gives record/replay commands, a .ghost.json schema and a --show-phantoms terminal replay so you can inspect rejected actions and the agent's reasoning. The thing that will decide if this takes off is integrations (LangChain/OpenAI Agents/CrewAI) and the promised web/VS Code UIs; without those it's a very useful niche tool, not yet a platform.

Niche GemShip It
AhmedAllam0
113mo ago