Oblien Search SDK - AI-powered web search, content extraction, and website crawling. Full documentation at https://oblien.com/docs/search-api
MCP server for paper-search-agent: academic paper discovery, access planning, and full-text retrieval via campus network
Local-first web search agent
CLI for clawhub.network - install, publish, and search agent skills on-chain
CLI for clawnet.sh - install, publish, and search agent skills on-chain
OCAI 数据采集 Skill - 让 AI agent 帮你在 OCAI 平台上执行数据采集任务
Dreamwork MCP server — AI job search agent with auto-apply
Azure AI Agents client library.
Azure AI Projects client library.
EtuSpace backend tools module with web search, readability extraction and AI search agent capabilities.
Turn a function into an `http.Agent` instance
An HTTP(s) proxy `http.Agent` implementation for HTTPS
The official CLI for Lark/Feishu open platform
Maps proxy protocols to `http.Agent` implementations
[](https://www.npmjs.com/package/@aws-sdk/util-user-agent-node) [](https://www.npmjs.com/
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[](https://www.npmjs.com/package/@aws-sdk/middleware-user-agent) [](https://www.npmjs.c
NodeBB plugin that adds a floating chat assistant to help users find relevant forum topics using TF-IDF text similarity
Get a user agent string across all JavaScript Runtime Environments
Paperclip adapter for Hermes Agent — run Hermes as a managed employee in a Paperclip company
A SOCKS proxy `http.Agent` implementation for HTTP and HTTPS
An HTTP(s) proxy `http.Agent` implementation for HTTP
[](https://www.npmjs.com/package/@aws-sdk/util-user-agent-browser) [](https://www.n
A agent component for Convex.
Is this Web request from a real search engine or from an impersonating agent?
pikuri-vectordb gives a pikuri-core agent a +vectordb_search+ tool over a local document corpus — agentic search, the agent decides when to retrieve. Ships a swappable backend (a pure-Ruby +Backend::InMemory+ for teaching, plus thin +Backend::Qdrant+ / +Backend::Chroma+ HTTP clients for persistence — Qdrant recommended), a chunker, an embedder wrapper over +RubyLLM.embed+, and an optional +Reranker::LlamaServer+ that speaks +/v1/rerank+ against a cross-encoder model. Text extraction goes through +Pikuri::FileType.read_as_text+ in pikuri-core, which handles plain text / Markdown / PDF; HTML extraction is a deferred follow-up. Hosts wire the feature via +c.add_extension Pikuri::VectorDb::Extension.new(...)+ inside the +Agent.new+ block — same opt-in shape as +pikuri-tasks+ / +pikuri-skills+. The bundled +Pikuri::VectorDb::LIBRARIAN+ persona is the privilege-separated sub-agent counterpart for hosts that want recall to flow through a child rather than the parent's context. Three model endpoints in the full setup — chat (via ruby_llm), an embedder (via +RubyLLM.embed+), and an optional reranker (HTTP +/v1/rerank+). A single +llama-server+ in router mode serves all three by default, loading each cached GGUF on demand; see the gem's README for details.
Hierarchical persistent memory with semantic search for SwarmSDK AI agents
A type-safe Ruby client for the Firecrawl v2 API. Supports scraping, crawling, batch scraping, URL mapping, web search, and AI agent operations.
A bundled spur that adds web search capabilities to Spurline agents using the Brave Search API.
A terminal interface to interactively search, select, and bundle markdown notes for AI agent context.
Official Ruby SDK for Supermemory. Add persistent memory to AI applications with document management, semantic search, user profiling, and integrations with ruby-openai, graph-agent, and langchainrb.
RCrewAI is a powerful Ruby framework for creating autonomous AI agent crews that collaborate to solve complex tasks. Build intelligent workflows with reasoning agents, tool usage, memory systems, and human oversight. Key Features: • Multi-Agent Orchestration: Create crews of specialized AI agents that work together • Multi-LLM Support: OpenAI GPT-4, Anthropic Claude, Google Gemini, Azure OpenAI, Ollama • Rich Tool Ecosystem: Web search, file operations, SQL databases, email, code execution, PDF processing • Agent Memory: Short-term and long-term memory for learning from past executions • Human-in-the-Loop: Interactive approval workflows and collaborative decision making • Advanced Task Management: Dependencies, retries, async execution, and context sharing • Hierarchical Teams: Manager agents that coordinate and delegate to specialist agents • Production Ready: Security controls, error handling, comprehensive logging, and monitoring • Ruby-First Design: Built specifically for Ruby developers with idiomatic patterns • CLI Tools: Command-line interface for creating and managing AI crews
pikuri-core is the lean, audit-friendly foundation of the pikuri family: Pikuri::Agent (a thin wrapper around ruby_llm's chat loop) with its Configurator + Extension protocol, the strict Pikuri::Tool framework, a listener surface for rendering / budgets / sub-agents, and four bundled stateless tools (calculator, web search, web scrape, fetch). Extensions (skills, MCP, workspace, coding stack, named-agent personas) live in sibling gems so a privacy-conscious user can install just this core and audit a minimal dependency tree. For the convenience bundle that pulls in everything, see the +pikuri+ metagem.
RcrewAI Rails is a comprehensive Rails engine that brings AI agent orchestration to your Rails applications. Build intelligent AI crews that collaborate to solve complex tasks with full database persistence, background job integration, and a beautiful web dashboard for monitoring and management. Features: • ActiveRecord models for crews, agents, tasks, and executions with full persistence • Rails generators for scaffolding AI crews and agents • ActiveJob integration for asynchronous crew execution (works with any Rails background job adapter) • Web dashboard with real-time monitoring and management interface • Multi-LLM support: OpenAI GPT, Anthropic Claude, Google Gemini, Azure OpenAI, Ollama • Production-ready with logging, error handling, and security controls • Human-in-the-loop workflows with approval mechanisms • Tool ecosystem: web search, file operations, SQL, email, code execution
Production-grade Ruby client for Parse Server. Map Parse classes to Ruby models with typed properties, associations, and validations; build queries with a chainable DataMapper-style DSL; handle auth, sessions, MFA, cloud code webhooks, and push; introspect and migrate schemas; manage role hierarchies; scope access with per-agent ACL/CLP; generate GraphQL types; run Atlas Search and vector search; and bypass REST for high-throughput reads via the MongoDB-direct pipeline.
Provides RobotLab::DocumentStore — a thread-safe, in-memory semantic search store backed by fastembed (BAAI/bge-small-en-v1.5). Store text documents by key and retrieve the closest matches to a natural-language query using cosine similarity. Works standalone or as a drop-in extension for robot_lab agents and networks.
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