TinyFish

MiroFish is an open-source multi-agent prediction engine that builds simulated digital worlds from source materials such as news, policy drafts, financial signals, reports, or stories. Its workflow extracts entities and relationships into a knowledge graph, injects individual and collective memory through GraphRAG, generates agent personas and configurations, and runs parallel simulations in which agents with independent personalities, long-term memory, and behavioral logic interact and evolve. Users can describe prediction requirements in natural language, introduce variables during a simulation, chat with agents in the simulated world, and receive a generated prediction report.

Firecrawl is an open-source web context API and hosted service for AI agents and applications. It searches the web, scrapes individual pages, crawls websites, maps site URLs, and batch-processes large URL sets, returning content as clean Markdown, HTML, screenshots, structured JSON, and other extracted data. It handles JavaScript-heavy pages, rotating proxies, orchestration, rate limits, and blocked content, and can parse web-hosted PDFs and DOCX files. Its interaction endpoint lets users or agents click, scroll, write, wait, and press on a page before extracting content; its agent endpoint gathers web data from a natural-language request without requiring URLs. Firecrawl provides Python and Node.js SDKs, cURL and CLI interfaces, and an MCP connection for AI agents and applications.

Flowise is a visual, low-code platform for building AI agents and agentic workflows by connecting models, components, and third-party integration nodes through a graphical interface. Its monorepo contains a Node.js backend for API logic, a React frontend, component integrations, and autogenerated Swagger API documentation. It can be installed with npm, run with Docker, deployed self-hosted, or used through Flowise Cloud. The repository is archived and its source code is released under the Apache License 2.0.

Airtop is a platform for building and deploying AI-driven web agents. It compiles workflows described in natural language into deterministic agents that can log in, browse, and perform actions at scale.

Nimble Web Search Agents are domain-specific web research agents from Nimble that perform self-learning search, crawling, structured extraction, dataset enrichment, and web monitoring. They use auditable Search Plans, a proprietary index, and memory that adapts to a use case after each run to retrieve targeted data from the live web, including JavaScript-rendered pages, without requiring an LLM to parse raw pages. Nimble exposes these capabilities through APIs for search, complex research workflows, dataset building, monitoring, extraction, and crawling.