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gigaxity-deep-research
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gigaxity-deep-research

Active·★ 62·MIT·Updated 2026-09-30

Gigaxity Deep Research is an open-source multi-source synthesis pipeline providing six MCP tools for deep research with LLMs. It integrates parallel web search, RRF fusion, contradiction detection, and citation binding to offer robust, evidence-backed answers.

#RAG#Multi-Agent#Web Search#LLM Integration#Knowledge Synthesis#FastAPI#MCP Protocol
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Guides
#Citation Generation
$ Install
$ git clone https://github.com/yoloshii/gigaxity-deep-research.git && cd gigaxity-deep-research && python -m venv .venv && source .venv/bin/activate && pip install -e .
↗ Visit site★ GitHub
01

Features

01Multi-source parallel search across various providers with Reciprocal Rank Fusion (RRF) for comprehensive result aggregation.
02Exposes six distinct deep-research tools via MCP and a FastAPI REST API: search, research, ask, discover, synthesize, reason.
03Advanced synthesis capabilities including CRAG-style quality gates, PaperQA2-style contradiction detection, and VeriCite-style citation binding.
04Adaptive query routing, HyDE-style query expansion, and multi-aspect query decomposition for complex research tasks.
05Support for various focus modes (e.g., general, academic, debugging) and SciRAG-style outline-guided synthesis.
02

Compatibility

Python
Runtime
Verified via docs
FastAPI
Framework
Verified via docs
MCP Protocol
Protocol
Verified via docs
OpenAI Compatible LLMs
Model
Verified via docs
Docker
Deployment
Verified via docs
MCP Agents
Agent Platform
Verified via docs
03

Quick start

1
$ git clone https://github.com/yoloshii/gigaxity-deep-research.git
2
$ cd gigaxity-deep-research
3
$ python -m venv .venv
4
$ source .venv/bin/activate
5
$ pip install -e .
04

Use cases

↳Empowering AI agents like Claude Code with external, citation-backed deep research capabilities to avoid hallucinations.
↳Automating comprehensive, multi-source knowledge synthesis for factual queries across various domains.
↳Building custom RAG-powered LLM applications using a flexible FastAPI REST API or MCP server for integration.
↳Supporting multi-tenant LLM services with individual API key billing for research costs, such as via OpenRouter.
05

Alternatives

⚡Top VS:
VSai-workshop★60→VSseekstone★34→VSazure-ai-search-foundry-iq-live-knowledge-sources★17→

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yoloshii /
gigaxity-deep-research
↗

Open-source deep research MCP. Qwen3-30B-A3B-Thinking via OpenRouter, cited web synthesis for Claude Code, Codex, Cursor, Hermes and any MCP-compatible agent.

62MIT
Last commit3w ago
StatusActive
CategoryRAG / Knowledge Base
Links
Documentation↗Discussion↗Issues↗Releases↗
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