Harness as code — the Terraform for AI agents. Define your agent team AND its memory once, deploy to Claude Code, Ope...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
Copy the install, test the workflow, then decide if it earns a permanent slot.
Not hard to test, not trivial to unwind. Worth trying if it closes a sharp gap.
GitHub health 75/100. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Multiple
Model
Multiple
Fastest way to find out if agentopology belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/agentopology/agentopology && cd agentopology && cat README.mdRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf agentopologyNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
./ └─ agentopology/ ← clones here
Harness as code — the Terraform for AI agents. Define your agent team AND its memory once, deploy to Claude Code, OpenClaw, Cursor, Codex, Gemini, Copilot, Kiro. Declarative.at language + agent-maintained, Obsidian-portable company brains + interactive visualizer.
Source: GitHub repository
Source check: October 30, 2026
Upstream commit: October 29, 2026
Repository state: Not marked archived
Honeystax upvotes are community interest signals, not star ratings. GitHub stars and repository health are source measurements; editorial risk and trial-cost notes are Honeystax analysis.