Agently vs Artificial Wit

Agently and Artificial Wit are both ai agent apps tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Agently

Agently connects to 100+ tools via OAuth and builds a live graph of your company's activity, then runs a set of specialized agents — Researcher, Revenue, Growth, Support, Ops, Briefer — coordinated by an orchestrator called Jarvis. Agents post Slack threads, recover failed Stripe charges, flag renewal risks, and ship formatted documents without waiting for a prompt. The output is artifacts — sheets, docs, decks, gated pages — not chat transcripts. The ceiling appears when you need conditional branching that goes beyond the predefined agent roles; the vendor describes no mechanism for custom agent logic or self-hosted deployment. Teams with non-standard workflows will feel the constraint.

Artificial Wit

The platform sits between your existing APIs, documents, and knowledge bases on one side and any LLM — Claude, ChatGPT, Gemini, or a local model — on the other. You connect REST or GraphQL endpoints, upload docs or point at a database, then the platform exposes every configured API as a Model Context Protocol tool, discoverable by any MCP-compatible client. No schema migration, no re-platforming. The free tier caps you at three API connections, which covers a proof of concept but hits the wall fast for a real ERP environment. Role-based access control is included, which matters the moment clinical documents or order data enter the picture.

Attribute	Agently	Artificial Wit
Pricing	Paid	Paid
Price	$69/mo	—
Free trial	No	No
Open source	No	No
Has API	No	Yes
Self-hosted option	No	No
Platforms	Web	Web, MCP clients (Claude Desktop, Cursor, ChatGPT)
Pros	Two-way OAuth integrations across 100+ tools with live sync, so agents act on current data rather than stale snapshots that make automated decisions unreliable. Outputs land as real files — docs, sheets, decks, gated pages, CSV exports — which means the agent's work is immediately usable rather than requiring a human to translate a chat response into an action. Jarvis orchestrates multiple specialized agents in parallel, so a single trigger (a failed Stripe charge, a renewal risk flag) can simultaneously update HubSpot, send a Gmail sequence, and post to Slack without manual handoffs. Live activity board shows every task in triggered, running, and shipped states, so you have an audit trail of what ran and when — without that, debugging an automated sequence that misfired requires guesswork. Predefined agent roles (Revenue, Support, Growth, Ops, Briefer, Researcher) cover the recurring work that consumes the most meeting time at early-stage teams, so setup targets high-frequency pain rather than requiring teams to design workflows from scratch.	No-code MCP tool generation from any configured API, which means Claude Desktop or Cursor can call your internal ERP endpoints without a custom integration build for each LLM client. Retrieval-augmented generation with cited answers baked into the knowledge base, so the assistant returns sourced responses from your actual documents rather than the model's training data — which removes the audit problem for healthcare and compliance contexts. Role-based access control included at the platform level, so permission-aware queries against clinical documents or financial data do not require a separate access layer bolted on afterward. Provider-agnostic LLM routing — OpenAI, Anthropic, Gemini, or a local model — so swapping the underlying model when pricing or performance shifts is a configuration change, not a rebuild. Agents coordinate multiple APIs and knowledge sources in a single workflow, so a query that needs to cross-reference an ERP record and an internal policy document does not require you to wire those calls together manually.
Cons	The agent roles are predefined and the vendor describes no mechanism for custom agent logic — teams whose workflows involve branching based on domain-specific rules (e.g., different recovery sequences per customer segment) hit this ceiling immediately and have no documented workaround short of manual intervention. No self-hosted option exists, and there is no free tier — teams in regulated industries or with data residency requirements cannot evaluate or deploy this tool, and will move to a competitor that supports on-premises deployment. The orchestration model is opaque: the vendor shows a live activity board but does not describe how to inspect or override a Jarvis decision mid-run, which means when an agent takes the wrong action on a live customer record, the recovery path is unclear and potentially damaging.	The free tier limits you to three API connections — a single ERP integration with a knowledge base and one additional service exhausts it. Teams scoping a real enterprise deployment hit the paid tier before the pilot is done. No self-hosted deployment option is available. Organizations under data-residency mandates, HIPAA BAA requirements that prohibit cloud egress, or air-gap security policies cannot use the platform at all — those teams evaluate self-hostable alternatives instead. Agent configuration happens through a no-code admin panel, which covers straightforward tool-call chains but gives no indication of supporting complex branching logic based on intermediate results. Teams that need multi-step conditional flows — branching on what the ERP returned before deciding which knowledge base to query — report adding a custom orchestration layer, at which point they are maintaining two systems. The platform is not open-source, so debugging unexpected agent behavior or auditing how credentials are handled requires trusting vendor documentation rather than inspecting the runtime directly. For security-sensitive enterprise procurement, that gap extends review cycles.

Bottom line

Only Artificial Wit exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Agently and Artificial Wit?

Agently is Paid, while Artificial Wit is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Agently better than Artificial Wit?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.