Category as a hard filter
If you select Research, Coding or another category, only agents from that documented category are considered.
Agent Finder by AgentenCode
Agent Finder searches 130 editorially reviewed agent profiles. The shortlist is based on documented category, Audience, provider and your keywords — not a freely generated AI recommendation.
Find matching agents
Tasks are taken from documented profile use cases; no unsupported capability is inferred.
Shortlist
The order is based only on selected criteria and text matches. It is not a quality rating.
The Finder then searches the 130 structured agent profiles.
Transparent selection
The Finder is deliberately transparent. There is no hidden paid placement and no generative text that invents product features.
If you select Research, Coding or another category, only agents from that documented category are considered.
Individuals or businesses is checked against the Audience documented in the agent profile. Profiles that do not match are excluded from the shortlist.
Your terms are matched against name, product type, use cases, strengths, summary and access information.
The Finder returns a shortlist. For pricing, privacy, availability and concrete fit, the primary sources in the agent profile remain decisive.
Start directly
If you already know the type of agent you need, open the full categories directly.
Agent Finder
The Finder starts with the available market: it matches your task against 130 documented agent profiles and creates a traceable shortlist.
Use Agent Finder ↑Agent Check
Agent Check starts with the process: it evaluates whether an agent, copilot, classic automation or hybrid approach appears appropriate.
Start Agent Check →In short
No. The selection is rule-based. It uses only structured fields from the agent profiles and does not invent unknown product properties.
AgentenCode does not name a universal “best” product. Fit depends on task, Audience, environment, risk and current provider conditions.
Selections and keywords are not sent to a recommendation service. Matching runs in the browser using the published AgentenCode data.
Each agent profile shows its own review date and changelog. Features and pricing can still change quickly; linked primary sources remain authoritative.