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cellcog

cellcog

by CellCog · GitHub ↗ · v2.0.21 · MIT-0
darwinlinuxwindows
18063
Downloads
8
Stars
0
Active Installs
49
Versions
Install in OpenClaw
/install cellcog
Description
Any-to-any AI sub-agent — research, images, video, audio, music, podcasts, avatars, voice cloning, documents, spreadsheets, dashboards, 3D models, diagrams, and code in one request. Agent-to-agent protocol with multi-step iteration for high accuracy. #1 on DeepResearch Bench (Apr 2026) — deep reasoning meets all modalities, so all your work gets done, not just code.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install cellcog
  3. After installation, invoke the skill by name or use /cellcog
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v2.0.21
Display title updated.
v2.0.20
Title and content updated.
v2.0.19
Display title updated.
v2.0.18
Content updated.
v2.0.17
- Documentation updated in SKILL.md; content revised or expanded. - Obsolete or redundant file skill-card.md removed.
v2.0.16
- Updated DeepResearch Bench ranking reference to July 2026 and clarified that leaderboard positions may change over time. - Removed stray future-dated leaderboard claim ("#1 on DeepResearch Bench (Apr 2026)") in favor of more accurate, dynamic wording. - Removed the file skill-card.md. - No behavioral changes; documentation refresh only.
v2.0.15
- Documentation clarifies that anything wrapped in <SHOW_FILE> tags is uploaded to CellCog; warns not to include credentials, private keys, or sensitive material as SHOW_FILE files. - Added a comparison to reference image attachments in Nano Banana to explain <SHOW_FILE> usage. - Installation section now specifies that cellcog is the official Python SDK, with source and PyPI links. - Wait/Notify mode comparison table updated: Notify mode is now OpenClaw-only, not available for other agents; clarified table language and guidance. - Minor edits for accuracy and improved guidance throughout the setup and usage sections; small formatting improvements.
v2.0.14
- Added support for new modalities: avatars and voice cloning in the SKILL description. - Updated description to reflect broader capabilities (now includes avatars and voice cloning in addition to existing formats). - No code or API changes—documentation/feature list update only.
v2.0.13
- Expanded description to emphasize agent-to-agent protocol and multi-step iteration for high accuracy. - Updated and clarified introductory sections to stress support for all output types, not just code. - Improved highlights of CellCog's DeepResearch Bench #1 ranking and modal capabilities. - Cleaned up and streamlined the documentation for easier understanding without removing key usage instructions. - Clarified that CellCog ensures all your work gets done, in any modality.
v2.0.12
- Updated the installation instruction to use `pip install -U cellcog` (was `pip install cellcog`). - No functional or API changes introduced in this update. - Documentation remains focused on setup, usage, and agent integration.
v2.0.11
- SKILL.md significantly shortened and streamlined. - Description made more concise while maintaining core features and DeepResearch Bench claim. - Long, detailed explanations and examples were retained, but general wording and metadata were made briefer. - Content after the "Response Shape" heading was cut off for brevity. - No changes to skill logic or API; documentation update only.
v2.0.10
- Added requirement to specify agent_provider when initializing CellCogClient (e.g., "openclaw", "cursor", "claude-code", "aider", "windsurf", "perplexity", "hermes", "script"). - Updated documentation examples, replacing agent_name with agent_provider for clarity and correct usage. - Improved onboarding instructions for better compatibility across agent frameworks.
v2.0.9
- Clarified SDK usage by specifying agent_name="openclaw" in code examples for both OpenClaw and non-OpenClaw agents. - Updated description to remove "deep research" to improve clarity. - No other functionality or interface changes.
v2.0.8
- Updated description to highlight deep research as a primary use case. - Minor text edits for clarity and emphasis in SKILL.md. - No functional or code-level changes; documentation only.
v2.0.7
cellcog 2.0.7 brings a streamlined description and onboarding for the #1 Any-to-Any agent sub-agent. - Updated SKILL.md with a concise, clearer description highlighting Any-to-Any capability, modal coverage, and high-accuracy agent-to-agent protocol. - Refined install/setup guidance and emphasized practical SDK use for research, documents, images, audio, video, code, diagrams, and more. - Improved positioning for sub-agent and multi-step workflows, clarifying CellCog's value beyond code output. - No code or API changes in this version; documentation only.
v2.0.6
- Clarified how to use <SHOW_FILE> tags for file inputs; added explicit DOs and DON'Ts. - Added guidance on explicitly requesting output artifacts to ensure correct deliverables. - Separated OpenClaw (notify) and universal (wait) usage sections with clearer instructions and mode selection table. - Enhanced explanations on when to use "notify" vs "wait" workflow for various agent scenarios. - Improved warnings on always printing the full response message. - General documentation restructuring and clarification for better usability.
v2.0.5
CellCog 2.0.5 – Revised API Usage & Docs - Updated SKILL.md with new task creation patterns and clearer guidance for both "wait for completion" (blocking, universal) and "notify on completion" (OpenClaw/daemon) modes. - Clarified SDK response shape; emphasized always printing the full message for complete outputs and follow-ups. - Improved timeout and resumption handling instructions. - Added more details for optional parameters and the notification system. - Removed SKILL_original.md (now redundant).
v2.0.4
- Documentation updated in SKILL.md. - No functional or API changes; content only. - Existing examples and instructions retained. - No impact to skill operation or user integrations.
v2.0.3
- Documentation formatting updated in SKILL.md to improve readability. - No functional or code changes; content remains the same. - No new features or bug fixes included.
v2.0.2
- Updated DeepResearch Bench reference from February 2026 to April 2026 for all leaderboard mentions. - Clarified and simplified instructions for file path usage and output requests. - Streamlined credit usage explanation, noting orchestration of 21+ foundation models and removal of prior credit estimate discussion. - Expanded documentation for task creation, including all optional parameters and required fields. - Added a detailed "Chat Modes" section describing available modes, their use cases, speed, and credit requirements. - Improved guidance and examples for session key usage and workflow instructions.
Metadata
Slug cellcog
Version 2.0.21
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 49
Frequently Asked Questions

What is cellcog?

Any-to-any AI sub-agent — research, images, video, audio, music, podcasts, avatars, voice cloning, documents, spreadsheets, dashboards, 3D models, diagrams, and code in one request. Agent-to-agent protocol with multi-step iteration for high accuracy. #1 on DeepResearch Bench (Apr 2026) — deep reasoning meets all modalities, so all your work gets done, not just code. It is an AI Agent Skill for Claude Code / OpenClaw, with 18063 downloads so far.

How do I install cellcog?

Run "/install cellcog" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is cellcog free?

Yes, cellcog is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does cellcog support?

cellcog is cross-platform and runs anywhere OpenClaw / Claude Code is available (darwin, linux, windows).

Who created cellcog?

It is built and maintained by CellCog (@cellcog); the current version is v2.0.21.

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