- name
- news-cog
- description
- AI news intelligence and daily briefing powered by CellCog. News digests, competitive intelligence, market updates, trend monitoring, industry reports, current events research. Multi-source synthesis for accurate, comprehensive briefs.
- metadata
- openclaw
- emoji
- 📰
- os
- [darwin, linux, windows]
- requires
- bins
- [python3]
- env
- [CELLCOG_API_KEY]
- author
- CellCog
- homepage
- https://cellcog.ai
- dependencies
- [cellcog]
News Cog - AI News Intelligence Powered by CellCog
Frontier search models with multi-angle research on every query.
CellCog combines deep reasoning with SOTA search models and multi-intent research to produce accurate, comprehensive news intelligence. Briefs, reports, and digests delivered ready for your agent to consume — without pulling hundreds of articles into your main agent's context window.
How to Use
For your first CellCog task in a session, read the cellcog skill for the full SDK reference — file handling, chat modes, timeouts, and more.
OpenClaw (fire-and-forget):
result = client.create_chat(
prompt="[your task prompt]",
notify_session_key="agent:main:main",
task_label="my-task",
chat_mode="agent",
)All agents except OpenClaw (blocks until done):
from cellcog import CellCogClient
client = CellCogClient(agent_provider="openclaw|cursor|claude-code|codex|...")
result = client.create_chat(
prompt="[your task prompt]",
task_label="my-task",
chat_mode="agent",
)
print(result["message"])What You Can Get
Daily Briefings
Concise, actionable summaries:
- Morning Briefing: "Give me today's top tech industry news — focus on AI, cloud, and enterprise software"
- Market Open: "Summarize pre-market news affecting FAANG stocks and semiconductor sector"
- Industry Digest: "Summarize this week's most important developments in renewable energy"
- Startup News: "What happened in startup funding this week? Series A+ rounds in fintech"
Example prompt:
"Create a morning briefing for a startup CEO: Focus areas: 1. AI industry developments (new models, funding, regulations) 2. SaaS market trends and notable deals 3. Macro economic signals (Fed, inflation, tech employment) Format: Bullet-point brief with one-sentence summaries and source links. Highlight anything that requires immediate attention. Total length: Under 500 words — I need to scan this in 2 minutes."
Competitive Intelligence
Monitor your competitive landscape:
- Competitor Watch: "What has Notion shipped or announced in the last 30 days?"
- Market Moves: "Summarize recent M&A activity in the cybersecurity sector"
- Product Launches: "What new AI developer tools launched this month?"
- Funding Tracker: "List all AI companies that raised $50M+ in the last 2 weeks"
Trend Reports
Deeper analysis of emerging patterns:
- Trend Analysis: "What are the emerging trends in AI agent infrastructure? Analyze recent launches, funding, and technical developments"
- Regulatory Watch: "Summarize new AI regulations proposed or enacted globally in 2026"
- Technology Shifts: "Research the shift from RAG to long-context models — what are the latest developments?"
Custom News Digests
Tailored to your specific needs:
- Role-Specific: "Create a weekly digest for a VP of Engineering at a fintech company"
- Topic-Specific: "Summarize everything published about quantum computing this week"
- Region-Specific: "What's happening in the European tech ecosystem this month?"
- Event Coverage: "Summarize the key announcements from AWS re:Invent 2026"
Why CellCog for News?
The Technical Edge
CellCog doesn't just search once and summarize — it runs multi-angle research across your query:
- Multiple search intents: A single news query is decomposed into multiple research angles
- Frontier search models: SOTA retrieval across hundreds of sources
- Deep reasoning: Cross-references and synthesizes findings, not just concatenates
- Citation quality: Sources traced back to original reporting, not aggregator summaries
| RSS Feeds / News Aggregators | CellCog News Cog |
|---|---|
| Raw article firehose | Synthesized, prioritized intelligence |
| You filter and read | CellCog researches, reasons, and summarizes |
| Same view for everyone | Tailored to your role, industry, and priorities |
| Text links only | Structured briefs, PDF reports, or interactive dashboards |
| Floods your context | Delivers concise, agent-consumable output |
Agent-Optimized Output
CellCog News Cog is designed with agent workflows in mind. The output is:
- Concise — won't overwhelm your main agent's context window
- Structured — clear sections, bullet points, and hierarchies
- Actionable — highlights what matters and why
- Sourced — includes citations when requested
Output Formats
| Format | Best For |
|---|---|
| Structured text | Agent consumption, quick briefings |
| PDF Report | Professional distribution, archiving |
| Interactive HTML | Explorable dashboards with filters |
| Markdown | Integration into docs, wikis, or knowledge bases |
Chat Mode for News
| Scenario | Recommended Mode |
|---|---|
| Daily briefings, quick news summaries | "agent" |
| Competitive intelligence, single-topic digests | "agent" |
| Deep trend analysis, comprehensive industry reports | "agent team" |
Use "agent" for most news tasks. Daily briefings, competitive monitoring, and news digests execute well.
Use "agent team" for deep trend analysis — when you need multi-source synthesis across dozens of publications and research papers.
Tips for Better News Intelligence
- Define your focus: "Tech news" is too broad. "AI infrastructure and developer tools" is focused.
- Specify timeframe: "Today's news", "this week", "last 30 days" — recency matters.
- Set the audience: "For a technical audience" vs. "for a board of directors" changes depth and tone.
- Request structure: "Bullet-point brief under 500 words" vs. "comprehensive PDF report with sections" — be explicit.
- Ask for citations: "Include source URLs for each item" — when traceability matters.
- Indicate priority signals: "Highlight anything about regulation changes or major funding rounds" — helps CellCog surface what matters to you.
If CellCog is not installed
Run /cellcog-setup (or /cellcog:cellcog-setup depending on your tool) to install and authenticate. OpenClaw users: Run clawhub install cellcog instead. Manual setup: pip install -U cellcog and set CELLCOG_API_KEY. See the cellcog skill for SDK reference.