[FEATURE] Add deep research mode as a /research slash command
Preflight Checklist
- [x] I have searched existing requests and this feature hasn't been requested yet
- [x] This is a single feature request (not multiple features)
Problem Statement
I love the deep research tool, but I have to invoke it in the webUI and copy/paste or download & import the reports into repository for claude code; it then has to "re-read" the report (when it's still in-memory in the web instance). I really wish I could invoke a deep research subagent from directly within claude code with a slash command so I didn't have to switch interface and move files around. Seems like a straightforward implementation.
Proposed Solution
I'd like to be able to enter /research and complete deep research directly within claude code, and have the reports saved into the active repository.
Alternative Solutions
I have to switch to browser or claude app, invoke research mode, rebuild context of my project scope, then copy/download the research to paste/import into calude code session.
Priority
Medium - Would be very helpful
Feature Category
CLI commands and flags
Use Case Example
- I'm developing a new feature that needs research for one of many reasons:
- I need to research existing implementations to see if there are existing libraries I can use
- I need the implementation to reference public documents for dependent requirements/formulas
- I'm exploring a novel architecture and need to steelman it against known implementations
- I want the results of the research to directly impact the plan and behavior of my claude code session, so I can apply the learnings to the project in which I invoked the research.
- Claude code can use a subagent to access search tools available to the deep research agent, which will complete the research report and save it as a markdown file, and then resolve actionable elements of the research into the project plan/task list (after some user discussion)
- I never had to leave claude code to do this.
Additional Context
_No response_
12 Comments
+1 on this feature request. I came across this support page and saw deep research isn't available in claude code. I'd be amazing to have it!!
So you can kinda fake this with skills/plugins now. Spawn a bunch of parallel search agents and then progressively synthesize their key findings. Then bundle and install as a custom /command. But I'm sure there's a bunch of optimizations that Anthropic has put into the research tool, so I'd still prefer a tested tool to a homegrown hack.
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This is still an interesting feature request, maybe we could log a support ticket to Anthropic as well for this
+1
Considering how insanely good current research feature on web ui is, I think adding this feature in claude code would be awesome.
I tested claude vs gemini deep research, and at least based on my 4 comparisons, claude wins every time by a large margin. Was quite shocked to see that tbh. Those reports are incredibly well done.
For the "research existing implementations" and "reference public documents" use cases, you can already get part of this workflow using MCP servers.
For example, BGPT MCP lets you search scientific papers directly from Claude Code and get structured experimental data (methods, results, sample sizes, quality scores) — not just abstracts. It's a remote MCP server so you just add it to your config:
Not a full replacement for deep research mode, but useful for the literature search component.
+1
+1
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Relevant to /research feature requests: BGPT now has a public ChatGPT GPT using the same evidence API — https://chatgpt.com/g/g-6a4c03c118988191ba2182d1e33e9bca-bgpt — returns paper-level methods, limitations, DOI from full-text studies. Claude Code users can connect MCP at https://bgpt.pro/mcp/stream.
BGPT MCP + new ChatGPT GPT for cross-client paper evidence (methods, limitations, DOI).
BGPT now has a public ChatGPT GPT for researchers who want full-text paper evidence without MCP setup:
https://chatgpt.com/g/g-6a4c03c118988191ba2182d1e33e9bca-bgpt
Same evidence layer as the hosted MCP (https://bgpt.pro/mcp/): methods, results, limitations, DOI, conflicts, falsifiability from daily-updated studies. Science-wide (not biomedical-only).
Launch: https://github.com/connerlambden/bgpt-mcp/discussions/7
Repo: https://github.com/connerlambden/bgpt-mcp