cellcogAny-to-any AI sub-agent — research, images, video, audio, music, podcasts, avatars, voice cloning, documents, spreadsheets, dashboards, 3D models, diagrams,...
Install via ClawdBot CLI:
clawdbot install nitishgargiitd/cellcogGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://huggingface.co/spaces/muset-ai/DeepResearch-Bench-LeaderboardAudited Apr 16, 2026 · audit v1.0
Generated Feb 28, 2026
A financial analyst needs to compile a comprehensive market positioning report by analyzing multiple data sources simultaneously. They upload quarterly earnings PDFs, competitor analysis documents, Excel market research files, customer interview audio recordings, and product mockup images, then request a unified analysis in a single request.
A sales manager wants to present quarterly sales data to different stakeholders using tailored formats. They provide a CSV file with sales data and request a PDF executive summary with charts, an interactive HTML dashboard for leadership, a video presentation for all-hands meetings, a slide deck for the board, and an Excel file with detailed analysis—all generated from one prompt.
A researcher needs to synthesize findings from multiple academic papers, datasets, and multimedia sources for a grant proposal. They upload PDFs of journal articles, spreadsheet datasets, and conference presentation videos, then ask for a cohesive research summary, presentation slides, and a draft report in various formats.
A product team requires comprehensive documentation for a new feature launch. They provide design mockups (images), user feedback audio files, technical specifications (PDFs), and performance metrics (spreadsheets), then request a unified set of deliverables including a product brief, demo video, and dashboard for tracking adoption.
A legal firm needs to analyze evidence from multiple sources for a complex case. They upload legal documents (PDFs), deposition recordings (audio), forensic reports (spreadsheets), and visual evidence (images), then ask for a detailed case summary, presentation for clients, and annotated timeline—all handled in one request to ensure consistency.
CellCog operates on a credit-based system where users purchase credits to access its any-to-any AI capabilities. Credits are consumed based on task complexity and output types, with pricing tiers for different usage volumes (e.g., individual developers vs. enterprise teams).
Offers customized enterprise licenses for large organizations needing high-volume, secure, and dedicated AI processing. This includes features like private cloud deployment, SLA guarantees, and tailored integration support for specific industry workflows.
Monetizes through a developer ecosystem by providing SDKs, plugins, and marketplace integrations. Revenue streams include revenue sharing from third-party apps built on CellCog, certification programs for developers, and premium API features for advanced use cases.
💬 Integration Tip
Ensure absolute file paths are correctly formatted within <SHOW_FILE> tags when referencing multiple documents, and use the notify_session_key parameter to automate result delivery without manual polling.
Scored Jul 23, 2026
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