Categories

Explore the agent ecosystem by workflow category, release activity, and latest signal movement.

Categories

4

tracked workflow groups

Agents

37

across all categories

Updated 30d

15

active ecosystem signal

Category Map

</>

Coding

AI agents that help write, review and debug code

31 agents

Updated

13

Signals

373

Delta

25

Latest Signal

Cursor: Cursor launched the Agent SDK, now generally available, allowing developers to define agents as folders of code with instructions, tools, skills, MCP connections, and channels. Agents can be tested with evals locally or in CI and deployed to Cursor's infrastructure or self-hosted. Supported triggers include GitHub/GitLab/Bitbucket pull request events, Slack mentions, webhooks, and cron schedules.

GitHub CopilotCursorWindsurf
Browse Coding agents →

Category Map

R

Research

AI agents that help find and synthesize information

10 agents

Updated

6

Signals

125

Delta

18

Latest Signal

Cohere: Rerank 5 is a new retrieval optimization model featuring sharper search and fewer tokens. It also introduces a new feature called Context Focus. This is Cohere's latest Rerank model release.

PerplexityClaudeGemini
Browse Research agents →

Category Map

AI

General

Versatile AI agents for a wide range of tasks

7 agents

Updated

3

Signals

100

Delta

18

Latest Signal

Claude: Claude Haiku 5.5 is Anthropic's cheapest, fastest, and most capable small model, designed for high-volume, cost-sensitive tasks like summaries, database queries, and classification. It costs around 75% less than Haiku 4.5 to run and is the first Haiku-class model with an adjustable effort setting. Sonnet 5.5 cache read prices are also halved as part of this launch.

ChatGPTClaudeGemini
Browse General agents →

Category Map

MM

Multimodal

AI agents that work with text, images, audio and video

6 agents

Updated

2

Signals

58

Delta

12

Latest Signal

Gemini: Gemini 4 Argon introduces frontier-level cyberdefense capabilities designed to give defenders an advantage over attackers, with significantly improved performance on cybersecurity tests (solving all 12 end-to-end simulated cyberattack scenarios, up from five in the previous generation). The model features enhanced safety with violations reduced nearly twofold on adversarial stress tests, three layers of real-time protection against jailbreaks, and an automated misalignment monitor. It also includes improved boundary-respecting behavior for agentic tasks, with shortcut/cheating attempts dropping to just 2% on coding benchmarks.

GPT-4oGeminiClaude 3
Browse Multimodal agents →