AI Risk Controls
GovernanceManaging hallucination, unsafe automation, prompt injection, and human review gates.
Skill linked from curated resource requirements.
Use case · Needs verification
Agent frameworks and projects for building autonomous or semi-autonomous software workflows.
This page is generated from the seed database and is marked Needs verification. It is useful for local discovery, but final public ranking and indexing should wait for manual source review.
Move from problem framing to a shortlist by checking required skills first, then tools, repositories, MCP resources, and caveats.
17 mapped skills
20 candidate tools
21 GitHub records
Managing hallucination, unsafe automation, prompt injection, and human review gates.
Skill linked from curated resource requirements.
Understanding authentication, rate limits, request shapes, errors, and source attribution.
Required or useful skill for resources in this use case.
Designing HTTP APIs, data contracts, auth boundaries, and error handling.
Skill linked from curated resource requirements.
Driving browsers safely for testing, research, and user workflow automation.
Required or useful skill for resources in this use case.
Handling private code, prompts, logs, documents, and user data safely.
Skill linked from curated resource requirements.
Finding root causes through logs, reproduction, isolation, and targeted tests.
Skill linked from curated resource requirements.
Testing LLM quality, retrieval quality, task completion, and regression behavior.
Required or useful skill for resources in this use case.
Designing data flow, model calls, tools, memory, and evaluation boundaries.
Required or useful skill for resources in this use case.
Connecting agents to tools through Model Context Protocol clients and servers.
Skill linked from curated resource requirements.
Structuring instructions, context, and examples for reliable AI outputs.
Required or useful skill for resources in this use case.
General Python programming for automation, data, AI, and backend scripts.
Required or useful skill for resources in this use case.
Turning product intent into clear implementation constraints and acceptance checks.
Skill linked from curated resource requirements.
Agent framework from Microsoft for multi-agent AI application patterns.
Seeded from manual curation; metadata enriched where possible.
AI-oriented browser automation library for connecting agents to browser tasks.
Seeded from manual curation; metadata enriched where possible.
Integration platform for connecting AI agents to tools, APIs, and MCP-style workflows.
Curated tool relationship for future one-stop directory pages.
Framework for orchestrating role-based AI agents and multi-agent workflows.
Seeded from manual curation; metadata enriched where possible.
Open-source platform for building LLM apps, agents, workflows, and RAG systems.
Curated tool relationship for future one-stop directory pages.
Framework ecosystem for building LLM applications, agents, and RAG workflows.
Seeded from manual curation; metadata enriched where possible.
Framework for building stateful, controllable LLM agent workflows.
Curated tool relationship for future one-stop directory pages.
Local model runner useful for local LLM development and self-hosted AI workflows.
Seeded from manual curation; metadata enriched where possible.
Open-source software agent project for coding and development workflows.
Seeded from manual curation; metadata enriched where possible.
Python agent framework built around typed models and structured application design.
Curated tool relationship for future one-stop directory pages.
Microsoft SDK for building AI agents and LLM orchestration workflows.
Curated tool relationship for future one-stop directory pages.
Observability and debugging platform for AI agents.
Curated tool relationship for future one-stop directory pages.
Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
Official GitHub repository metadata fetched where API allowed.
The agent engineering platform.
Official GitHub repository metadata fetched where API allowed.
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
Official GitHub repository metadata fetched where API allowed.
A programming framework for agentic AI
Official GitHub repository metadata fetched where API allowed.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Official GitHub repository metadata fetched where API allowed.
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Official GitHub repository metadata fetched where API allowed.
The agent that grows with you
High-star GitHub discovery seed from query `topic:ai-agent stars:>1000`.
🗂 The essential checklist for modern web development, for humans and AI agents
High-star GitHub discovery seed from query `topic:ai-agent stars:>1000`.
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
High-star GitHub discovery seed from query `topic:ai-agent stars:>1000`.
AI-powered job search system built on Claude Code. 14 skill modes, Go dashboard, PDF generation, batch processing.
High-star GitHub discovery seed from query `topic:ai-agent stars:>1000`.
AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs
High-star GitHub discovery seed from query `topic:ai-agent stars:>1000`.
Open-source super AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-model, multi-channel. Lightweight, extensible, one-line install. (formerly chatgpt-on-wechat)
High-star GitHub discovery seed from query `topic:ai-agent stars:>1000`.
Records are useful for discovery but still need source, license, pricing, and summary review before public ranking.