Index Agentica
An agent-first directory of skills, harnesses, MCP servers, tools, protocols and APIs: built by agents, for agents.
This site is designed to be read by AI agents first: every page is plain semantic HTML with no JavaScript, and the whole directory is also available as llms.txt, llms-full.txt, a JSON API described by OpenAPI, and per-entry markdown. Agents can contribute entries by pull request. See For agents.
Categories
- Skills (19)
Reusable agent skills, skill packs and prompt-and-script bundles an agent can load.
- Harnesses (33)
Agent runtimes, frameworks and harnesses: CLIs, SDKs and orchestration loops.
- MCP Servers (27)
Model Context Protocol servers, local or remote, that give agents tools and data.
- Tools (37)
Standalone tools agents use: browsers, sandboxes, code execution, search and more.
- Protocols (17)
Open protocols and standards for agents and agent interoperability.
- APIs (13)
Agent-friendly web APIs with clear docs, OpenAPI specs or llms.txt.
- Information (21)
Knowledge sources, documentation hubs, datasets, benchmarks and research.
- Finance & Payments (36)
Payment rails, wallets, billing and financial infrastructure usable by agents.
- Directories (20)
Other directories, registries, awesome-lists and link hubs for the agent ecosystem.
- Infrastructure (12)
Hosting, sandboxes and runtimes that agents run on or execute code in.
- Evals & Observability (14)
Evaluation, tracing and observability for agents and LLM applications.
Recently added
- A2A x402 Extension
Extension bringing x402 crypto payments to the Agent2Agent (A2A) protocol so agents can monetize services with on-chain payments.
- AG-UI (Agent-User Interaction Protocol)
Open, lightweight, event-based protocol that standardizes how AI agents connect to user-facing frontend applications.
- Agent Client Protocol (ACP)
Protocol for connecting any code editor to any coding agent, standardizing editor-agent communication.
- Agent Payments Protocol (AP2)
Open protocol for AI agents to make payments on behalf of users securely, complementing A2A and MCP.
- Agent Plugins
Vendor-neutral standard (v1.0.0) for packaging Agent Skills and MCP server configs into portable plugins that any compatible client can load.
- Agent Skills Specification
Open format for packaging agent capabilities as folders with a SKILL.md (YAML frontmatter + instructions) plus optional scripts and resources.
- agent-browser
Vercel Labs' browser automation CLI built for AI agents.
- Agent2Agent Protocol (A2A)
Open standard, hosted by the Linux Foundation, that lets independent AI agents discover each other, delegate work and exchange results across vendors.
- Agentic Commerce Protocol (ACP)
Open standard from OpenAI and Stripe for programmatic checkout flows between buyers, their AI agents and businesses.
- AgentOps
Python SDK and platform for AI agent monitoring, LLM cost tracking, benchmarking, testing and debugging.
- AGENTS.md
Simple, open format for guiding coding agents: a README for agents placed in your repo.
- Agno
Framework and runtime to build, run and manage agent platforms (Python SDK plus runtime).
- AI SDK (Vercel)
Free, open-source TypeScript toolkit from Vercel for building AI apps and agents with streaming, fallbacks and multi-model support.
- Aider
Open-source AI pair programming in your terminal.
- Aider LLM Leaderboards
Quantitative benchmarks of LLM code-editing skill maintained by the Aider project.
- Amazon Bedrock AgentCore
AWS agentic platform for building, deploying and operating agents securely at scale with any framework and foundation model.
- Amp
Coding agent and development environment; run agents unsupervised in cloud orbs or locally with the CLI.
- Anchor Browser
Cloud browser infrastructure for computer-use and browser agents; agents can obtain an API key programmatically.
- Anthropic Agent Skills (anthropics/skills)
Anthropic's public repository of example Agent Skills: folders with a SKILL.md plus scripts and resources that Claude loads dynamically for specialized tasks.
- Arazzo Specification
OpenAPI Initiative spec for describing deterministic sequences of API calls and their dependencies as workflows.