WaveSpeedAI Skills
PulseGate's liveness check found it on 9 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 16 Jun 2026. How this is checked
Provider-agnostic CLI for the WaveSpeedAI inference platform — 700+ media models (image, video, audio, 3D) plus 290+ OpenAI-compatible LLMs through a single API key. Single-file Python with a thin shell shim, plus skill bundle for Claude Code, Codex, Hermes, OpenClaw.
Inferred · not functionally tested
Overview
5 featuresPurpose: Simplifying access to hundreds of AI media models and LLMs through a single CLI and API.
Inferred · not functionally tested
Audience: developers and researchers needing multi-model AI inference
Inferred · not functionally tested
Functions: code_generation
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown
Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: browser, cli, api_only
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: github.com. These links do not verify the individual claims.
In the Inference & model serving space, WaveSpeedAI Skills takes a focused approach. Inferred · not functionally tested: It focuses on simplifying access to hundreds of AI media models and LLMs through a single CLI and API. Inferred · not functionally tested: WaveSpeedAI Skills is an open-source project aimed at developers and researchers needing multi-model AI inference. Basis unknown · not verified: WaveSpeedAI Skills is open source under the MIT license. Basis unknown · not verified: WaveSpeedAI Skills is available on the web, the command line, and API.
wesleysimplicio builds and maintains WaveSpeedAI Skills, and it first shipped in 2026. Development happens publicly on GitHub with 14 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include Unified API access, media model support, and LLM integration. Inferred · not functionally tested: Catalogued interfaces include a public API.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Unified API access
- Media model support
- LLM integration
- Provider agnostic
- Skill bundles
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
What PulseGate has recorded for this listing
Frequently asked questions about WaveSpeedAI Skills
- What does WaveSpeedAI Skills do?
- Inferred · not functionally tested: WaveSpeedAI Skills focuses on simplifying access to hundreds of AI media models and LLMs through a single CLI and API. It is catalogued under Inference & model serving on PulseGate.
- Who should use WaveSpeedAI Skills?
- Inferred · not functionally tested: WaveSpeedAI Skills is an open-source project built for developers and researchers needing multi-model AI inference.
- Does WaveSpeedAI Skills have a free plan?
- Basis unknown · not verified: Yes — WaveSpeedAI Skills is open source under the MIT license and free to use.
- What platforms does WaveSpeedAI Skills run on?
- Basis unknown · not verified: WaveSpeedAI Skills runs on the web, the command line, and API.
- Is WaveSpeedAI Skills still maintained?
- PulseGate's liveness check found it on 9 Oct 2026. Its GitHub repository shows 14 commits in the last 90 days.
- Who makes WaveSpeedAI Skills?
- WaveSpeedAI Skills is developed by wesleysimplicio.
- When did WaveSpeedAI Skills launch?
- WaveSpeedAI Skills first shipped in 2026.
- Is WaveSpeedAI Skills open source?
- Basis unknown · not verified: Yes — WaveSpeedAI Skills is open source under the MIT license, developed on GitHub.
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