AgentSea
AgentSea is an open-source agent development kit (ADK) for building agentic AI applications, authored by Michael Fatoki-Bello and published under the lovekaizen GitHub account. It ships as twenty TypeScript/Node packages on npm under the @lov3kaizen/agentsea-* scope and, separately, as fourteen native Elixir/OTP libraries on Hex (agentsea_*). The framework covers multi-provider LLM access, agent and crew orchestration, sequential/parallel workflows, memory, embeddings, guardrails, evaluation, red-teaming, cost tracking, semantic caching, document ingest, prompt management, browser and computer use, and voice (TTS/STT), plus a Model Context Protocol client and Agentic Commerce Protocol tooling. AgentSea is self-hosted software rather than a vendor-operated API - its HTTP surface (an /agents REST + Server-Sent Events + WebSocket API via the NestJS module, and an OpenAI-compatible /v1/chat/completions LLM gateway) runs inside the consumer's own deployment. MIT licensed.
AgentSea publishes 2 APIs on the APIs.io network. Tagged areas include Company, Artificial Intelligence, AI Agents, Agent Orchestration, and Large Language Models.
AgentSea’s developer surface includes documentation, API reference, getting-started guide, support, changelog, CLI, authentication, and 16 more developer resources.
Kin Score
APIs 2
Individual APIs this provider publishes, each with its own machine-readable definition.
AgentSea Agent REST API
HTTP surface exposed by the AgentSea NestJS module (@lov3kaizen/agentsea-nestjs) when enableRestApi/enableWebSocket are set. Documented operations are GET /agents, GET /agents/:...
AgentSea LLM Gateway
OpenAI-compatible HTTP gateway shipped as @lov3kaizen/agentsea-gateway (and as the Elixir agentsea_web Phoenix app). Run createHTTPServer/startServer and POST /v1/chat/completio...
Pricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Agentsea Rate Limits
RATE LIMITSSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Get Started 2
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 4
Pagination, idempotency, versioning, errors, and events
Build 5
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 4
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API
Source (apis.yml)
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.