Curated AI and agent tooling worth knowing about. Focused on tools that directly help with model access, agents, tools, memory, retrieval, , observability, browser access, document ingestion, integration, AI UI, voice, or multimodal generation.

High-Signal Default Stack

If you only need a practical shortlist, start here. These are the tools that repeatedly show up as useful building blocks for production agent workflows.

Job	Strong starting points	Why
Agent runtime	Mastra, Vercel AI , OpenAI Agents SDK, LangGraph	Covers TypeScript apps, OpenAI-native agents, and explicit graph workflows.
Tool interoperability	, JSON Schema,	Keeps tools inspectable, portable, and less prompt-dependent.
Web search and extraction	Firecrawl, Tavily, Exa, Browserbase, Browser Use, Stagehand, Apify	Covers search, crawling, extraction, JavaScript-heavy browsing, and repeatable browser automation.
and retrieval	pgvector, Qdrant, Pinecone, Weaviate, Cloudflare AI Search, Voyage AI, Cohere, Jina AI	Covers vector storage, hybrid search, , and .
Document ingestion	LlamaParse, Unstructured, Docling, Reducto, Mistral OCR, Azure AI Document Intelligence	Turns messy PDFs, docs, tables, and scanned content into retrievable structure.
Memory	Honcho, Zep, Letta, Mem0, Graphiti, QMD	Covers explicit agent memory, temporal graphs, user memory, and recall layers.
External app actions	Pipedream, Arcade, Zapier, n8n, Paragon	Gives agents controlled access to SaaS actions without writing every connector from scratch.
Sandboxed execution	E2B, Daytona, Vercel Sandbox, Cloudflare Sandbox, Modal	Lets agents run code or generated artifacts away from production systems.
Durable workflows	Temporal, Trigger.dev, Inngest, Hatchet, LangGraph, Mastra workflows	Keeps multi-step agent work resumable, observable, and retryable.
Observability and evals	Braintrust, Langfuse, Arize Phoenix, LangSmith, Promptfoo, RAGAS, DeepEval, OpenTelemetry GenAI	Gives , datasets, evaluations, and regression gates.
Guardrails and security	Guardrails AI, NeMo Guardrails, Lakera, Llama Guard, Presidio, Pangea	Helps with validation, policy checks, PII handling, prompt-injection risk, and auditability.

Catalog Pages

Page	Use it for	Start with
Standards and protocols	Portable agent surfaces, discovery, MCP, contracts, and crawler policy	MCP, , JSON Schema, OpenAPI, OpenTelemetry GenAI
Frameworks and runtimes	Agent runtimes, workflows, coding agents, AI UI, and app builders	Mastra, Vercel AI SDK, OpenAI Agents SDK, LangGraph
Model providers and gateways	Model APIs, routing, gateway controls, realtime, voice, and multimodal generation	OpenAI, Anthropic, Gemini, OpenRouter, Vercel AI Gateway, Cloudflare AI Gateway
Retrieval and memory	RAG, , search, reranking, agent memory, document ingestion, and OCR	pgvector, Qdrant, Pinecone, LlamaParse, Unstructured, Honcho, Zep
Evaluation and observability	Evals, traces, datasets, regression gates, , and policy checks	Braintrust, Langfuse, Arize Phoenix, Promptfoo, OpenTelemetry GenAI
Browser, sandbox, and integration	Browser automation, web extraction, code , and SaaS tool hubs	Browserbase, Stagehand, Firecrawl, E2B, Vercel Sandbox, Pipedream Connect
Capability map	Source crawl notes, cross-category use-case mapping, and watch-only tooling	Source tables, capability rows, watchlist

Selection Rules

Situation	Prefer	Avoid
Building a product agent	Existing project runtime first, then the smallest framework that owns tools, state, and eval hooks	Adding a second framework only for one feature
Exposing tools to multiple clients	MCP, JSON Schema, OpenAPI, metadata, and explicit	Prompt-only tool descriptions or browser-session borrowing
Adding retrieval	Data-shape driven retrieval: hybrid plus rerank for most production knowledge search	Picking a vector database before deciding query patterns and metadata needs
Letting agents browse or execute code	Managed browser/sandbox infrastructure with allowlists, timeouts, logs, and approvals	Direct shell or browser access from the app server
Shipping to production	Tracing, eval datasets, cost controls, model/provider policy, and regression gates	Treating evals and observability as post-launch cleanup

Sources are linked inline from each catalog page.

AI Tooling Catalog

High-Signal Default Stack

Catalog Pages

Selection Rules

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