Software for agents. Governance for reality.
Amazon didn't create the internet. It created the trust infrastructure — reviews, ratings, guaranteed delivery — that made people willing to buy from strangers online. We're doing the same thing for AI agents.
We don't build LLMs. We build the governance, decisions, and execution standards that make them trustworthy enough to hand real work.
9 packages on PyPI. All open source. All MIT.
Agents need governance before they act, evidence before they decide, and tracking after they execute. Three tools enforce that contract.
| Tool | What | Install | |
|---|---|---|---|
| I | visionlog | Governance — vision, goals, guardrails, ADRs | pip install visionlog-md |
| II | research.md | Decisions — evidence-graded, phase-gated, peer-reviewed | pip install research-md |
| III | ike.md | Execution — tasks, milestones, Definition of Done | pip install ike-md |
| Tool | What | Install |
|---|---|---|
| railguey | Railway deployment management | pip install railguey |
| clawdflare | Cloudflare zone auditing | pip install clawdflare |
| eidos-mcp-registry | MCP server scoping for Claude Code | pip install eidos-mcp-registry |
| Tool | What | Install |
|---|---|---|
| resume-resume | Post-crash Claude Code session recovery | pip install resume-resume |
| apple-a-day | Mac health toolkit — zero dependencies | pip install apple-a-day |
If the tools that govern your agents are closed, you're trusting the vendor. If they're open, you're trusting the code. We think that's a better deal. The core is MIT-licensed and always will be.