# Agents

**Canonical:** https://apis.io/providers/agents/  
**Website:** https://apievangelist.com  
**APIs profiled:** 0

An index and topic collection covering AI agents, agent frameworks, and agent runtimes that enable autonomous reasoning, tool use, and multi-step task execution. This profile catalogs the platforms and open-source projects that let developers build, orchestrate, and deploy LLM-powered agents, including foundational frameworks like LangChain, LangGraph, CrewAI, AutoGen, and AutoGPT, hosted agent platforms like Lindy, Relevance AI, and Composio, and provider-native agent runtimes from OpenAI, Anthropic, Google, and Microsoft. Distinct from foundation models and from Agent Skills (capability packages), the Agents topic focuses on the orchestration layer where planning, memory, tool calling, and execution come together.

## Kin Score — 9.6 / 100 (minimal)

Scored 2026-10-17 under rubric 0.24.0. Trend: flat (+0.1 from 9.5).

| Facet | Score |
|---|---|
| Discoverability | 48.2 |
| Contract Quality | 14.7 |
| Contract Governance | 0.0 |
| Operational Transparency | 5.3 |
| Developer Ergonomics | 9.5 |
| Access Clarity | 0.0 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 4.9 (matched via fallback).

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |

## Use cases (7)

- **Customer Support Automation** — Hosted agent platforms like Lindy, Relevance AI, and Microsoft Power Virtual Agents handle inbound support tickets, route conversations, and resolve common requests end-to-end.
- **Research and Knowledge Work** — LangChain and LlamaIndex agents combine retrieval over enterprise documents with reasoning to answer complex questions and synthesize multi-source briefings.
- **Sales and Outbound Workflows** — Agents built on Lindy, Relevance AI, and Composio prospect leads, draft outreach, log CRM activity, and orchestrate multi-step sales sequences.
- **Software Engineering Agents** — AutoGPT, AutoGen, and CrewAI-based engineering agents read repositories, draft pull requests, run tests, and iterate on code under human review.
- **Voice and Telephony Agents** — LiveKit and similar runtimes power real-time voice agents that handle phone calls, meetings, and live conversations using streaming LLMs and tool calling.
- **Internal Operations and IT Automation** — Agentic platforms like Restack, Trigger.dev, and Stackmint orchestrate long-running internal workflows across SaaS, databases, and identity systems.
- **Multi-Agent Team Simulations** — CrewAI and AutoGen model role-based teams (researcher, writer, reviewer) collaborating on a single deliverable, producing higher-quality output than a single agent.

## Tags

AI Agents, Agent Frameworks, Agent Orchestration, Agent Runtimes, LLM Orchestration

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/agents/). Scores are computed from the provider's own public artifacts under a published rubric.