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BrowseAI-Dev

Active·★ 18·Apache-2.0·Updated 2026-05-24
★ Trending★ Multi-Agent★ LLM Infra

Reliable research infrastructure for AI agents. Evidence-backed web search with citations, confidence scores, and Clarity anti-hallucination. MCP server, REST API, Python SDK.

BrowseAI Dev is a research infrastructure for AI agents that provides real-time web search, evidence extraction, verification, and structured citations. Every claim is backed by a URL and a confidence score. It features a multi-step verification pipeline, session memory, and enterprise search integration.

#agent-tools#ai-agent#anti-hallucination#browseai-dev#browseaidev#citations#clarity#crewai
$ Install
$ pip install browseaidev
↗ Visit site★ GitHub
01

Features

01Real-time web search with evidence extraction and verification
02Structured citations with confidence scores per claim
03Multi-depth research modes (fast, thorough, deep)
04Persistent research sessions with memory recall
05Enterprise search integration (Elasticsearch, Confluence)
02

Compatibility

Python
Python SDK
Verified via docs
Node.js
npm package
Verified via docs
LangChain
LangChain tool
Verified via docs
MCP
MCP server
Verified via docs
03

Quick start

1
$ pip install browseaidev
04

Use cases

↳AI agents needing verified, citation-backed answers
↳Fact-checking and contradiction detection in research
↳Content creation with automatic source verification
05

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Related searches

BrowseAI-Dev AlternativesBest Multi-Agent Tools 2026Open Source Multi-AgentBrowseAI-Dev TutorialBrowseAI-Dev Vs Competitorsagent-toolsai-agentanti-hallucination

Comments

Log in to leave a comment
  • A
    Aspen BrownMay 7, 2026

    Evidence-backed web search with reliable research infrastructure for AI agents.

  • Harley Lee
    Harley LeeMar 25, 2026

    Works for both factual research and competitive intelligence workflows.

  • R
    Rebel DavisMar 16, 2026

    Good for AI workflows that need verified, sourced web research rather than hallucinated facts.

  • Alex Kim
    Alex KimMar 10, 2026

    Evidence backing reduces false confidence in AI research outputs.

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 18
Last commit6d ago
StatusActive
LicenseApache-2.0
CategoryMulti-Agent
Trend (30d)
+0.7↑ 0.7%
Links
Documentation↗Discussion↗Issues↗Releases↗

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