Deep Research with Caesar.org
/install caesar-research
Caesar Research
CLI for Caesar deep research. Runs multi-source research jobs with citations, follow-up chat, and brainstorming.
Setup
go install github.com/alexrudloff/caesar-cli@latest
export CAESAR_API_KEY=your_key_here
Research
Run a query (waits for completion by default, prints events as they happen):
caesar research create "What are the latest advances in mRNA vaccines?"
Returns JSON with content (synthesized answer with [n] citations) and a results array of sources.
Fire-and-forget:
caesar research create "query" --no-wait
# Returns: { "id": "uuid", "status": "queued" }
Then check on it:
caesar research get \x3Cjob-id>
caesar research watch \x3Cjob-id>
caesar research events \x3Cjob-id>
Research Options
| Flag | Description |
|---|---|
--no-wait |
Return immediately with job ID |
--model \x3Cname> |
gpt-5.2, gemini-3-pro, gemini-3-flash, claude-opus-4.5 |
--loops N |
Max reasoning loops (default 1, higher = deeper research) |
--reasoning |
Enable advanced reasoning mode |
--auto |
Let Caesar auto-configure based on query |
--exclude-social |
Skip social media sources |
--exclude-domain x.com |
Exclude specific domains (repeatable) |
--system-prompt "..." |
Custom synthesis prompt |
--brainstorm \x3Cid> |
Use a brainstorm session for context |
Status Lifecycle
queued → searching → summarizing → analyzing → researching → completed or failed
Chat (Follow-Up Questions)
Ask follow-up questions about a completed research job:
caesar chat send \x3Cjob-id> "How does this compare to traditional vaccines?"
Waits for the response by default. The answer includes inline [n] citations referencing the original research sources.
caesar chat send \x3Cjob-id> "question" --wait=false
caesar chat history \x3Cjob-id>
Brainstorm
Get clarifying questions before research to improve results:
caesar brainstorm "How does CRISPR gene editing work?"
# Prints questions with multiple-choice options and a session ID
Then use the session ID:
caesar research create --brainstorm \x3Csession-id> "How does CRISPR gene editing work?"
Collections
Group files for research context:
caesar collections create "Dataset Name" --description "Optional description"
Tips
- For broad topics, use
--autoto let Caesar pick optimal settings. - Use
--loops 3or higher for complex multi-faceted questions. - Use
--reasoningfor questions requiring deep analysis. - Pipe output through
jqto extract specific fields:caesar research get \x3Cid> | jq '.content' - Chain brainstorm → research for best results on ambiguous queries.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install caesar-research - 安装完成后,直接呼叫该 Skill 的名称或使用
/caesar-research触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Deep Research with Caesar.org 是什么?
Deep research using the Caesar API — run queries, follow up with chat, brainstorm, and manage collections. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 685 次。
如何安装 Deep Research with Caesar.org?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install caesar-research」即可一键安装,无需额外配置。
Deep Research with Caesar.org 是免费的吗?
是的,Deep Research with Caesar.org 完全免费(开源免费),可自由下载、安装和使用。
Deep Research with Caesar.org 支持哪些平台?
Deep Research with Caesar.org 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Deep Research with Caesar.org?
由 alexrudloff(@alexrudloff)开发并维护,当前版本 v0.0.1。