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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Deeper Seeker is an simpler OSS version of OpenAI's latest Deep Research feature in ChatGPT.It is an agentic research tool to reason , create multi step tasks , synthesize data from multiple online resources and create neat reports
| Date | Stars |
|---|---|
| 2026-07-31 | 413 |
| 2026-08-06 | 413 |
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# Deeper Seeker
## Overview
The **Deeper Seeker** is an open-source research tool similar to perplexity pro , designed to perform tasks like comprehensive market research, competitor analysis, and investment memo preparation. Building on the foundation of the previous version, **Deeper Seeker V2.0.0** introduces significant improvements in research logic, web search capabilities, and report generation. The tool is designed to:
- Conduct iterative research with continuous refinement.
- Generate structured search queries and analyze results.
- Produce well-formatted, actionable reports with inline citations.
---
```mermaid
graph TD;
%% Start and Initial Steps
A[Start] -->|User Input| B[Run Follow-Up Loop]
B -->|Generate Follow-Up Questions| C[Follow-Up Interaction]
C -->|User Responds| D[Update Context]
D -->|Check Iterations| D1{More Iterations?}
D1 -- Yes --> B
D1 -- No --> E[Generate Research Plan]
%% Research Plan and Multi-Step Execution
E -->|Break into Steps| F[Research Plan Steps]
subgraph Research Execution
direction TB;
F -->|Step 1: Topic Exploration| S1[Generate Queries for Step 1]
S1 -- Query 1 --> Q11[Fetch Results for Query 1]
S1 -- Query 2 --> Q12[Fetch Results for Query 2]
S1 -- Query 3 --> Q13[Fetch Results for Query 3]
F -->|Step 2: Competitive Analysis| S2[Generate Queries for Step 2]
S2 -- Query 1 --> Q21[Fetch Results for Query 1]
S2 -- Query 2 --> Q22[Fetch Results for Query 2]
S2 -- Query 3 --> Q23[Fetch Results for Query 3]
F -->|Step 3: Market Trends| S3[Generate Queries for Step 3]
S3 -- Query 1 --> Q31[Fetch Results for Query 1]
S3 -- Query 2 --> Q32[Fetch Results for Query 2]
S3 -- Query 3 --> Q33[Fetch Results for Query 3]
end
%% Processing and Report Generation
Q11 --> P[Process Search Results]
Q12 --> P
Q13 --> P
Q21 --> P
Q22 --> P
Q23 --> P
Q31 --> P
Q32 --> P
Q33 --> P
P -->|Aggregate Learnings| J[Extract Insights & Learnings]
J -->|Refine Content| K[Generate Final Report]
K -->|Format in Markdown| L[Save Report as final_report.md]
L --> Z[End]
%% Styling
style A fill:#f9f,stroke:#333,stroke-width:2px;
style Z fill:#f9f,stroke:#333,stroke-width:2px;
classDef parallel fill:#ff9,stroke:#333,stroke-width:2px;
class S1,S2,S3,Q11,Q12,Q13,Q21,Q22,Q23,Q31,Q32,Q33 parallel;
```
## Key Features
1. **Iterative Research Workflow:**
- Plans research steps based on user queries.
- Generates precise search queries using the Exa API.
- Continuously refines research based on findings.
- Parallel execution of steps and search queries.
2. **Structured Output:**
- Produces JSON-structured search queries for API calls.
- Formats search results with highlights, citations, and summaries.
3. **Comprehensive Reporting:**
- Synthesizes research findings into actionable reports using Google Gemini.
4. **Multi-Model Support:**
- Utilizes multiple AI models (e.g., OpenAI, Groq, Google Gemini) for reasoning, planning, and report generation.
---
## How It Works
1. **User Query:**
- The user provides a research query (e.g., "Analyze the global EV market in 2024").
2. **Follow-Up Questions:**
- The tool generates follow-up questions to refine the research scope and context.
3. **Research Planning:**
- The AI creates a detailed research plan, breaking the query into logical steps.Each step leads to multi-query search.
4. **Search Execution:**
- The tool generates specific search queries for each step and uses the Exa API to search the web for relevant information.
- Parallel execution of search queries to reduce the latency.
5. **Result Processing:**
- Search results are processed, formatted, and analyzed.
6. **Final Report:**
- All findings are synthesized into a comprehensive, well-formatted report using Google Gemini.
---
## IExcerpt of 7,169 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:e77127b0b7139a42, llm:Repository description: 'Deeper Seeker is an simpler OSS version of OpenAI's latest Deep Research feature in ChatGPT. It is an agentic research tool to reason, create multi step tasks, synthesize data from multiple online resources and create neat reports'. Topics: deepresearch, exa, openai.
matched fp:e77127b0b7139a42, llm:Repository description: 'Deeper Seeker is an simpler OSS version of OpenAI's latest Deep Research feature in ChatGPT. It is an agentic research tool to reason, create multi step tasks, synthesize data from multiple online resources and create neat reports'. Topics: deepresearch, exa, openai.
matched fp:e77127b0b7139a42, llm:Repository description: 'Deeper Seeker is an simpler OSS version of OpenAI's latest Deep Research feature in ChatGPT. It is an agentic research tool to reason, create multi step tasks, synthesize data from multiple online resources and create neat reports'. Topics: deepresearch, exa, openai.