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A compact how-to to run PokeTokenBar locally. This open-source demo maps AI token counts to Pokémon-style states, letting small teams visualize usage without exposing raw billing.
Step-by-step guide to clone and run brendenehlers/diplomacy-ai demos, save reproducible logs, collect move histories, and compare agent configs to measure behavior.
Deploy ghbrk, a Rust credential broker that lets AI agents run git and the GitHub CLI without exposing SSH keys or API tokens. Uses a root-owned policy and centralized logs.
Detent is a single Go binary that watches a GitHub Projects board, creates isolated Git worktrees per ready issue, runs coding agents and enqueues validated PRs in a serialized merge train.
Follow a compact workflow for Velxio v3.0.0: clone the release, run the bundled emulator, and run 1-3 hour AI-assisted iterations archiving netlist, emulator log, and a one-line decision.
Step-by-step guide to deploy the open-source wsp-wordpress-mcp connector that mediates AI coding agents for WordPress, centralizing authentication, logging, and staged rollout checks.
Learn how Conductor uses YAML and Jinja2 to make multi-agent AI workflows deterministic and reproducible, reducing latency and making routing, branching, and testing explicit.
Practical checklist to clone and run Opensoul (iamevandrake/opensoul): start a 90‑minute demo, save a campaign artifact, and track cost, latency and QA to evaluate agentic marketing.
Practical walkthrough to clone and run AIBuildAI (ranked #1 on OpenAI MLE‑Bench). In 20–120 minutes run a demo build, generate an evaluation report, and reproduce the result.
Encode lessons from Clean Code and DDIA as compact 'skill' files so AI reviewers give consistent, traceable suggestions. Learn a staged workflow (lint→review→human) and context tips.
Connect Paragent to a GitHub repo, supply your LLM keys, and run parallel agents (Free: 2, Pro: 10) that create branches, run your tests, and open PRs for review.