Document360 vs Teable
Side-by-side trajectory, velocity, and editorial themes.
Document360 is rebuilding the knowledge base around AI agents — readable by them and operable through them.
Document360 is a knowledge-base and documentation platform shipping monthly point releases. The recent arc is heavily AI-shaped: an MCP server connects ChatGPT, Claude, and Copilot to the KB, then expands to manage the full content lifecycle — search, create, update, assign reviewers, and publish — from inside an AI assistant. The June release adds auto-generated llms.txt so AI agents can discover and cite docs accurately, plus native Mermaid diagrams. Enterprise plumbing (SCIM, multiple JWT configs, CSP controls) rounds out the cadence.
The product is positioning the knowledge base for the AI-agent era on two fronts: making docs machine-readable and citable (llms.txt, MCP search), and making content operations agent-driven (publish/workflow via MCP). Around that core bet, Document360 keeps hardening multilingual, security, and analytics for enterprise buyers.
Expect continued deepening of the MCP and AI-discoverability surface — more lifecycle actions exposed to assistants and richer agent analytics — alongside the steady enterprise security and localization work.
Teable ships daily, hardening its AI Agent and Airtable-import path on a no-code database.
Teable is on a near-daily release train for its no-code database (an Airtable alternative) with a heavy AI layer — an Agent, AI Builder, and Agent Computer that operate the database from chat. Recent releases add BYOK model support (Anthropic and OpenAI-compatible), in-chat integration authorization, Agent Computer file management, and Airtable connect-and-import, interleaved with steady formula, lookup, and stability fixes.
The product is converging on an AI-agent-operated database: build apps and run automations by chatting with an Agent that recognizes links, imports from Airtable and external HTTP systems, and manages files. The cadence is incremental hardening — reliability of formulas, computed fields, and Agent sessions is the recurring theme, a push toward production trust for the agentic surface.
Expect continued near-daily releases deepening the AI Agent and Airtable/external-system import, with ongoing formula and Agent-session reliability work. The next capability step is likely more BYOK providers or richer Agent skills.
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