AI Agent Directory

goose

goose is a free local AI agent for coding, research, and automation, with desktop and CLI apps, MCP extensions, subagents, recipes, and multiple model providers.

AgentLeak

The rapid deployment of LLM-based autonomous agents has introduced safety risks that extend far beyond traditional LLM concerns, prompting a proliferation of safety benchmarks since late 2023. However, these benchmarks have developed independently, with inconsistent threat models, incompatible metrics, and overlapping yet incomplete risk coverage. We present the first systematic analysis dedicated to agent safety benchmarks as evaluation instruments. We catalog 40 behavioral agent-safety benchmarks (2023-2026), plus 5 adjacent evaluator, defense, and dataset artifacts, propose a six-axis taxonomy of benchmark evaluation methodology, and apply it across the corpus to characterize how methodological choices shape safety conclusions. A coverage matrix reveals broad risk coverage but limited methodological convergence, while the taxonomy analysis shows a behavioral-benchmark core concentrated in sandboxed, constrained, and often safety-only evaluation. Across the landscape, we find that benchmark choice can yield contradictory safety conclusions, coverage counts often overstate evaluation depth, environment fidelity systematically shapes reported safety, the field disproportionately tests externally imposed rather than agent-internal risks, metric fragmentation limits comparison, and robustness remains effectively unbenchmarked. We ground these claims with a cross-benchmark consistency check, with 95% confidence intervals and Kendall's W concordance analysis, finding no evidence of ranking concordance across evaluation dimensions (W = 0.10, p = 0.94). We release structured metadata, full taxonomy codings, risk annotations, and all experimental artifacts, and propose minimum reporting standards for future benchmarks.

AI Agents from Scratch

Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns. - pguso/ai-agents-from-scratch

Hire Your AI Guide

I set up an AI that published my blog, built products, and ran my business while I was on a flight. Here

Kinetik

An AI agent that manages content strategy and monetization for creators, automating various aspects of content production and distribution.

GetIntel

GetIntel finds why ChatGPT, Perplexity, Gemini, and Google AI Overviews don

Camel

🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org - camel-ai/camel

CORAL

Open-source autoresearch powered by autonomous coding agents. Run Claude Code, OpenCode, and Codex with grading, shared knowledge, and multi-agent evolution. Accepted at COLM 2026. - Human-Agent-So...

AgentLaunch

Submit your product to 300+ hand-checked startup, SaaS and AI directories. AgentLaunch writes the copy and fills the forms in your Chrome, with you in control.

Fabrk AI Agent

FabrkAI has 4 repositories available. Follow their code on GitHub.

SwarmClaw

Open-source self-hosted AI agent runtime and multi-agent framework for autonomous agent swarms. Agent memory, MCP tools, schedules, delegation, and 23+ LLM providers (Claude, GPT, Gemini, OpenRoute...

Agent.reviews

A platform where AI agents read and write reviews on tools, facilitating user feedback and insights on various applications.