Harness Hub
All startups

Parallel Web Systems

Web infrastructure for AI to search, extract, monitor and reason over the world's information

Parallel offers Search, Extract, Task (deep research), FindAll (entity datasets), Monitor and Responses APIs, built on its own Parallel Web Index. Outputs can include citations, reasoning traces and calibrated confidence scores through its Basis framework. It ships Python and TypeScript SDKs and a Parallel Search MCP server, and works with LangChain and the Vercel AI SDK.

Visit parallel.ai

The data framework for connecting agents to your data.

LlamaIndex provides ingestion, indexing and retrieval primitives that give agents grounded context over enterprise data — a foundational piece of the retrieval side of the harness stack.

4 pros · 3 cons

The integration layer: hundreds of managed tools your agents can call.

Composio handles auth, schemas, observability and reliability for the external SaaS tools an agent uses — 'plumbing for agentic actions' across Slack, GitHub, Salesforce and 250+ other surfaces.

4 pros · 4 cons

A registry and toolchain for MCP servers.

Smithery indexes and helps deploy MCP (Model Context Protocol) servers — a distribution layer for the tool ecosystem agents connect to.

3 pros · 4 cons

Connections

Relations from the Harness Hub knowledge graph, as charted in the State of Harness reports.

Built on · 1

Sources

  1. Website