fox-cellcog#1 on DeepResearch Bench (Feb 2026). Any-to-Any AI for agents. Combines deep reasoning with all modalities through sophisticated multi-agent orchestration. R...
Install via ClawdBot CLI:
clawdbot install qinthqod/fox-cellcogGrade Fair — 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 May 6, 2026
Analyze competitor reports, earnings PDFs, customer interviews (audio), and product mockups simultaneously to generate a comprehensive market positioning report. CellCog handles all modalities in one request, extracting insights and synthesizing outputs.
From a single CSV file with quarterly sales data, generate an executive summary PDF, an interactive HTML dashboard, and a 60-second video for an all-hands meeting. Outputs are consistent across formats.
Using Agent Team Max mode, conduct deep research on quantum computing advances in 2026, producing a detailed research report with PDF, presentation deck, and spreadsheet analysis. Ideal for strategic planning.
Upload raw audio, images, and video clips, and request a polished podcast episode with music and speech synthesis. CellCog generates the full production, including editing and mixing, in one task.
Reference multiple PDFs, Excel sheets, and audio recordings of past support calls to generate instant, context-aware responses and recommendations for customer queries. Enables consistent, high-quality support.
Offer tiered monthly subscriptions with varying credit limits (e.g., 100K, 500K, 2M credits) for businesses to integrate CellCog into their workflows. Higher tiers include priority processing and advanced agent modes.
Charge per task based on credits consumed, with transparent pricing per modality. Suitable for startups and occasional users who want flexibility without long-term commitments.
Allow agencies and platforms to rebrand CellCog as their own AI service, setting their own pricing. Provide API access and support, earning margin on resold credits.
💬 Integration Tip
Set the CELLCOG_API_KEY environment variable and use the CellCogClient to create tasks asynchronously. For sequential workflows, call wait_for_completion() to block until results are available.
Scored Jul 2, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.
Billions decentralized identity for agents. Link agents to human identities using Billions ERC-8004 and Attestation Registries. Verify and generate authentic...