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: media generation, media understanding, web retrieval, cloud storage, and static page publishing. The idea is simple. Keep the agent you already use. Add the missing capability runtime around it. speech, sandbox, and browser automation remain on the roadmap.
Last updated 2026-04-08
Company facts
Company
AnyCap
Product
AI agent capability runtime
Primary interface
CLI + skill files
Public repo history
Since March 2026
Shipping surfaces
CLI, web app, edge delivery, skill distribution
Official repository
github.com/anycap-ai/anycap
License
MIT
Last updated
2026-04-08
How the team ships
Product and engineering
AnyCap is shipped as one product surface across the CLI, the public website, the dashboard, and the edge delivery layer. That makes it possible to verify how the runtime, the docs, and the distribution path fit together.
Distribution and releases
The public repository documents GitHub releases, npm packaging, skill sync, and Cloudflare Pages deployment. The delivery path is visible instead of hidden behind a closed launch page.
Feedback and iteration
Operators can report issues through GitHub and through the built-in `anycap feedback` flow. That creates a real path from failed requests or missing capabilities back to the team.
Public build timeline
March 2026
Current public repository history begins, with the CLI, server, dashboard foundations, and website all shipping from the same codebase.
Early April 2026
Capability inventory alignment, compare pages, and workflow-led SEO content were expanded so buyers can evaluate the product through concrete use cases instead of brand copy alone.
Current operating model
AnyCap is being developed as an agent-first product with one runtime, one install path, one auth flow, and public documentation around releases, guides, and skills.
Public references
GitHub repository
GitHub repository — Primary public codebase for the runtime, website, and skill files.
GitHub releases
GitHub releases — Public release artifacts and notes for shipped CLI versions.
skills.sh listing
skills.sh listing — Public skill distribution surface for agent installs.
Install guide
Install guide — The shortest path from evaluation to a working local setup.
Pricing
Pricing — Public explanation of free credit and pay-as-you-go positioning.
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
Contact and reporting paths
GitHub issues
GitHub issues — Best public path for bug reports, regressions, or roadmap requests.
CLI feedback command
CLI feedback command — Use `anycap feedback` when the issue comes from a live request or capability gap.
Start here
Start here — Best next step when the goal is to verify the runtime directly.
Trust signals
Open distribution
Skill files, release artifacts, and the main codebase 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.