Discover, compare, and evaluate artificial intelligence software for your workflow.
Review Score assesses product quality; Fit Score is specific to a use case. Limited reviews do not count as product-quality scores. How reviews work.
Showing 23 of 23 tools
Browse, try, and subscribe to a library of pre-built specialist AI agents for research, sales prospecting, and content analysis without building anything from scratch.
Build multi-modal agents in plain Python: text, image, audio, and video inputs handled natively. Agno's tool library and memory system handle the infrastructure.
Build LLM-based multi-agent systems with patterns like GroupChat. Microsoft's original AutoGen repo is now in maintenance mode and community-managed; Microsoft names its own Agent Framework as the enterprise-ready successor for new projects, with AG2 available separately as an independently-maintained community fork.
Build and deploy collaborative multi-agent workflows with an open-source framework used by a large share of Fortune 500 companies, plus a paid cloud platform for execution hosting and monitoring.
Build and orchestrate LLM applications and agentic workflows with visual workflow design, RAG, and knowledge-base management, source-available under a modified Apache 2.0 license with 139,000+ GitHub stars.
Design, deploy, and monitor AI agents through a no-code visual builder with built-in QA testing and observability, for embedding AI features into SaaS products without vendor lock-in.
Assemble chatbots and multi-agent workflows on a drag-and-drop canvas without writing backend code. Acquired by Workday in August 2025 and being integrated into their platform.
Build and deploy AI agents for research, file analysis, HR, and RFP responses via natural language, with multi-LLM access in one SOC 2-compliant interface for SMBs and MSPs.
Assemble LLM-powered apps and agents from a free, open-source composable framework, with the separately priced LangSmith platform adding tracing, evaluation, and deployment. LangGraph Platform is now LangSmith Deployment.
Wire up AI agents and RAG pipelines on a visual canvas, then export the finished flow as a working API or MCP server. Free and self-hosted since DataStax's cloud tier closed.
Build stateful, multi-step AI agents that loop, branch, and pause for human input: modeled as graphs so you see exactly what your agent does at every step.
Build agents that actually remember: facts, preferences, and past interactions persist across every session without manual context management.
Give yourself a personal AI assistant that triages your inbox, preps meetings, and runs multi-step research tasks around the clock.
Connect your own data to LLMs for retrieval-augmented generation. LlamaParse (formerly LlamaCloud) automates document parsing, extraction, and indexing for agentic workflows.
Turn a plain-language prompt into completed multi-step work, research, code, slides, or a live website, instead of just a chat reply. Now operating as part of Meta following its 2026 acquisition.
Build production-ready AI agents and workflows in TypeScript with full type safety. Memory, tool calls, and observability included, no Python detour required.
Build, publish, and govern AI agents that operate inside Microsoft 365 or publish to external channels, now integrated with the Work IQ intelligence layer.
Build type-safe AI agents in Python. Pydantic models validate every input, output, and tool call so runtime surprises stay in development, not production.
Build and deploy AI agents that run your business workflows, no code required. Connect to your CRM, email, and databases with a visual builder and ship in minutes.
Build a persistent knowledge graph from your email and meeting notes to draft emails, prep meetings, and run background agents, open-source and local-first, storing everything as plain Markdown.
Get unified team access to 250+ AI models (ChatGPT, Claude, Gemini, Grok) with shared agents, workspace collaboration, and knowledge bases in one credit-based platform.
Describe a workflow automation in plain English and get a working rule inside Wrike, no rule-builder syntax or dedicated automation specialist required.
Build, deploy, and govern multi-agent systems on a vendor-neutral runtime with a visual Agent Studio, 2,000+ tool integrations, and 80+ LLM models, benchmarked 87.3% on GAIA.