About
AnyCap builds capability
infrastructure for agents.
We focus on the layer between a reasoning agent and the capabilities it still needs to do real work: image generation, video generation, image understanding, and video analysis today. The idea is simple. Keep the agent you already use. Add the missing capability runtime around it. Music, speech, search, and crawl remain on the roadmap.
What AnyCap is
AnyCap is an agent-native capability runtime. It gives AI agents a consistent way to install, authenticate, and use capabilities that do not belong inside the base reasoning model.
We care about the capability layer because that is where real workflows usually break. The agent can decide what to do, but it still cannot render the image, generate the video, inspect the screenshot, or move between those workflows through one stable interface.
Why it exists
Reasoning is not enough
Modern agents can plan and code, but they still fail the moment a workflow needs image generation, video generation, or a consistent vision layer.
Tooling is too fragmented
Every missing capability usually means another SDK, another auth flow, another provider-specific integration, and another way for the agent to fail.
Agents deserve first-class products
We think the capability layer should be built for agents from the start, not adapted from human dashboards or stitched together after the fact.
What AnyCap is not
Not a human dashboard product
AnyCap is not built around clicking through admin panels. The primary interface is the runtime, the CLI, and the install path the agent can actually use.
Not provider glue code
We are not optimizing for custom one-off integrations per model vendor. The goal is one capability surface that stays consistent across providers.
Not a replacement for your agent
You keep Claude Code, Cursor, Codex, or another agent. AnyCap exists to add the capability layer they still need.
Principles behind the product
One install path instead of one install per provider
One auth flow instead of fragmented credentials across the stack
One command surface instead of capability-specific interfaces
Built for agents first, then made understandable for humans
Trust signals
Open distribution
Skill files and release artifacts are published through public GitHub paths.
Portable runtime
The same capability layer is designed to work across Claude Code, Cursor, Codex, and adjacent agent products.
Explicit capability model
We separate the runtime, the CLI, the skill file, and the capabilities so teams can reason about the stack clearly.