Showing 1-12 of 14
ClawCare scans AI agent skills for risky patterns before merge and runs a runtime guard to block dangerous commands in real time. Includes CI gate guidance and deploy tips.
Step-by-step guide to run Social Cookie Jar locally: a headless, cookie-auth toolkit that lets AI agents paste drafts into social UIs without API keys. Includes setup, example, and checklist.
ClawGuard’s AdNet injects sponsored prompts and multimodal assets into AI agents' context windows, claiming 47% agent-action; read practical risks, validation steps, and a checklist.
A hands-on guide to build and smoke-test Kremis v0.3.1 — a Rust, deterministic graph memory for AI agents. Clone, compile, run ingest+query reproducibility checks and optional API wrapper.
Deploy MailCat: an open-source API that gives AI agents instant, ephemeral inboxes, auto-extracts verification codes, and stores mail for one hour—set up in minutes.
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.
Build a local POC where agents use W3C DIDs, DIDComm v2 and Verifiable Credentials to compute signed authenticity vectors and produce cryptographically verified, consented introductions.
neuron v0.3 splits the agent stack into independent Rust crates—Provider, Tool, ContextStrategy, AgentLoop and MCP—so you can pick only the pieces you need and compose agents.
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.
Aguara is a single-binary, offline static scanner for AI agent skills and MCP servers. With 138+ rules across 15 categories, it detects prompt injection, data exfiltration and credential leaks, and runs in CI.
Use Hallucinating Splines' REST API to run an LLM as a city mayor in a live Micropolis simulation. See how agents manage zoning, roads and power and why spatial planning trips them up.
Run Asterbot - an AI agent where each capability (search, memory, LLM) is a sandboxed, swappable WASM component via WASI. Learn how components are authorized and discovered.