Agent Infrastructure

Amelia is an enterprise-grade conversational AI platform from SoundHound for building voice and text agents that handle real customer interactions end-to-end. It focuses on natural, multi-turn conversations, then turns those into actions like resetting passwords or processing returns. Designed for complex contact center and service scenarios across industries.

AutoGPT is an open-source platform for building autonomous AI assistants that run continuously and automate digital workflows. It targets small businesses, sales and marketing teams, and AI developers who want agents that can operate beyond single prompts. A hosted AutoGPT Platform (currently waitlisted) adds a low-code interface to connect agents and tools into end-to-end workflows.

AutoGen is an open-source programming framework from Microsoft for building agentic AI systems. It gives developers code-level building blocks in Python and .NET to add agents to their own apps and services. Best suited for technical teams who want full control over how AI agents behave and run.

CAMEL-AI is an open-source framework and research community focused on large-scale multi-agent systems for data generation, world simulation, and task automation. It provides building blocks, benchmarks, and example projects to help you design and study LLM-based agent societies and workforces. Best suited for researchers and developers who want to experiment with autonomous agents rather than use a prebuilt assistant.

CrewAI is a platform for building and running collaborative AI agent workflows. It gives you a visual editor, integrated tools and triggers, and GitHub-based deployment so you can move from prototype to production. A free tier lets you experiment before scaling to higher volumes or enterprise infrastructure.

Gobii lets you launch cloud-hosted browser agents that follow natural language instructions to navigate websites, log in, and return results as text or structured JSON. Designed for developers, it abstracts away headless browser management, CAPTCHAs, and dynamic pages so you can focus on your workflow logic. Ideal for large-scale data collection and web process automation via a simple HTTP API.

IBM watsonx Orchestrate is an enterprise platform for building and coordinating AI agents across your existing apps and workflows. It lets you create no-code or pro-code agents, tap into a catalog of prebuilt agents and tools, and centralize governance as they run. Designed for organizations that want open, multi-agent automation rather than a single chatbot.

LangChain offers a hosted platform for tracing, evaluating, and deploying long‑running AI agents, plus a no‑code Agent Builder. It targets developers and teams who need production‑grade observability and infrastructure rather than just a basic chatbot. Plans range from a free developer tier to paid team and enterprise options with usage‑based pricing.

LlamaIndex is an end-to-end platform for building AI agents that understand and act on complex documents at scale. It combines high-accuracy OCR and parsing with LLM-powered extraction, retrieval, and an async workflow engine. Aimed at enterprises and developers, it helps you turn unstructured files into automated, document-specific AI workflows.

OpenClaw is an agent infrastructure platform that ships with formal, TLA+-based security models for its highest‑risk capabilities. You can run attacker-driven model checks as a regression suite to validate assumptions about authorization, session isolation, tool gating, and misconfiguration safety. Models live in a separate repo and are reproducible locally via simple CLI commands.

Perplexity API exposes the Sonar family of language models with built-in web search and SafeSearch filtering. It’s aimed at developers who want to add grounded, internet-connected Q&A and chat to their products while keeping API query data out of training. Hosted on AWS in North America with usage-based tiers and an OpenAI-compatible chat interface.

Semantic Kernel is an open-source Microsoft framework for integrating large language models into your applications. It provides SDKs and tooling for .NET and Python so you can wire LLM capabilities directly into your existing codebases. Best suited for developers who want fine-grained control rather than a hosted, no-code agent platform.

StackAI is an enterprise AI agent platform focused on security, privacy, and compliance. It helps you connect AI agents to internal databases and knowledge bases while keeping strict control over how data is stored, accessed, and processed. Designed for regulated industries, it emphasizes enterprise-grade infrastructure, encryption, and certifications like HIPAA, SOC 2 Type II, and GDPR.

smolagents is an open‑source Python library for building and running AI agents in just a few lines of code. It focuses on simplicity and minimal abstractions so you stay close to raw Python. Designed primarily for developers who want code-centric agents without a heavy framework.

Writer Knowledge Graph is a graph-based retrieval-augmented generation (RAG) system for building enterprise-grade AI assistants. It replaces traditional vector-only retrieval with a semantic knowledge graph to improve answer accuracy and reduce hallucinations. Designed for large organizations, it helps you ground generative AI in your own data across complex, dense knowledge bases.