Agent Platforms
Agent Platforms help you build and deploy AI agents that actually handle work, from customer support to RAG workflows and data queries. Tools like LangFlow make it easy to assemble AI agents and RAG apps visually, while FutureSmart Agent Platform focuses on RAG AI agents and NL2SQL for turning natural language into database answers. For customer-facing automation, Freshdesk (Freshchat), ThinkStack, and Chatbase power AI chatbots for support and engagement, and Agent.ai adds a professional network layer for discovering and connecting with AI agents.
23 resources in Agent Platforms
Cognee
Inspectable graph-backed memory for AI agents, with strong provenance tracing but cautious update/delete behavior.
Supermemory
Hosted agent memory with strong capture and scoping, but mixed retrieval and weak forget behavior.
Hindsight
Selective, inspectable memory for real agent workflows, with strong retrieval and scope control.
Mem0
Mem0 remembers useful agent context across sessions and makes retrieved memory visible, but stale context can linger after updates or forget requests.
Zep
Developer-first memory for AI agents that captures workflow context well, but still needs stronger stale-memory and forget control.
Best Knowledge Base Chatbot Builders (Tested & Ranked)
If you need a chatbot builder that can answer questions from a company knowledge base, the deciding factors are retrieval accuracy, follow-up handling, grounding on complex policy questions, emotional edge cases, and whether it can deploy as an embeddable website widget. We tested six RAG chatbot tools on the same seven-document company knowledge base in PDF and DOCX format across four difficulty bands: simple single-document lookups, multi-document reasoning, complex multi-hop reasoning, and emotional or crisis edge cases.