AgentIndex icon
AgentIndex
lastsearch logo
lastsearch
★ 20
vs
deep-research logo
deep-research
★ 4.7k

lastsearch vs deep-research

lastsearch: LastSearch provides a robust research infrastructure for AI agents, offering real-time web search, evidence extraction, and multi-step verification to ensure every claim is backed by a URL and has an evidence-based confidence score. It features iterative deep research modes, persistent memory sessions for collaborative knowledge accumulation, and integrates with various platforms like Python SDK and LangChain.; deep-research: Deep Research is an AI-powered tool designed to generate comprehensive research reports rapidly, leveraging advanced AI models and internet connectivity. It prioritizes user privacy by processing and storing all data locally.

01

TL;DR

lastsearch logo
lastsearchRAG / Knowledge Base · ★ 20

AI Agent Grounding: Provide reliable, cited information to AI agents, preventing hallucinations and ensuring factual accuracy.

Read lastsearch full review →
deep-research logo
deep-researchRAG / Knowledge Base · ★ 4.7k

Rapidly generate in-depth research reports for personal and professional use.

Read deep-research full review →
02

Side-by-Side Comparison

Field
lastsearch logolastsearch
deep-research logodeep-research
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 20
★ 4.7k
License
Apache-2.0
MIT
Install Command
pip install lastsearch
docker run -d --name deep-research -p 3333:3000 xiangfa/deep-research
Updated
5d ago
4mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agents, Web Search, Fact-Checking
AI Research, LLM, Privacy-focused
03

Features

lastsearch logolastsearch
01Evidence-Based Verification & Confidence Scoring: Multi-step pipeline including atomic claim decomposition, hybrid retrieval, semantic reranking, and cross-source consensus to ensure accuracy.
02Multiple Research Depth Modes: From `fast` lookups to `thorough` iterative verification and `deep` multi-step agentic reasoning with gap analysis.
03Research Memory (Sessions): Persistent sessions that accumulate verified knowledge across multiple queries, allowing for collaborative and forkable research workflows.
04Self-Improving Accuracy via Feedback Loop: The verification pipeline automatically improves with user feedback, adjusting domain authority, thresholds, and confidence weights.
05Enterprise Search Providers: Integrate with internal data sources like Elasticsearch and Confluence, including zero data retention options for compliance.
deep-research logodeep-research
01Rapidly generates comprehensive research reports in minutes.
02Ensures privacy by processing and storing all data locally in the browser.
03Supports a wide range of mainstream large language models (LLMs).
04Integrates with various web search engines for enhanced information gathering.
05Allows uploading and processing local files to build a knowledge base.
04

Use Cases

lastsearch logolastsearch
↳AI Agent Grounding: Provide reliable, cited information to AI agents, preventing hallucinations and ensuring factual accuracy.
↳Fact-Checking and Content Verification: Verify claims, surface contradictions, and assess the trustworthiness of information for critical research or content creation.
↳Collaborative Research: Share and fork research sessions to enable multi-agent or human-agent teams to build deeper knowledge over time.
↳Building Knowledge Bases from Internal Data: Use enterprise search providers to ground LLMs on company-specific knowledge for internal tools or customer support bots.
↳Automated Research for Complex Questions: Leverage deep mode for iterative, multi-step agentic research to comprehensively answer complex inquiries.
deep-research logodeep-research
↳Rapidly generate in-depth research reports for personal and professional use.
↳Serve as a deep research as a service (SaaS) platform via SSE API.
↳Integrate deep research functionality into other AI applications using MCP.
FAQ

FAQ

What is the difference between lastsearch and deep-research?
Both lastsearch and deep-research are in the RAG / Knowledge Base category. lastsearch has 20 stars, while deep-research has 4.7k stars.
Which is better, lastsearch or deep-research?
The best choice depends on your use case. Choose lastsearch if AI Agent Grounding: Provide reliable, cited information to AI agents, preventing hallucinations and ensuring factual accuracy., and deep-research if Rapidly generate in-depth research reports for personal and professional use..
Is lastsearch free or open source?
Yes, lastsearch is open source on GitHub (Apache-2.0).
Is deep-research free or open source?
Yes, deep-research is open source on GitHub (MIT).
Cloud Infrastructure
Ad

Deploy on DigitalOcean

Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.

Claim $200 Free Credit
→

Related

Alternatives to lastsearch →Alternatives to deep-research →lastsearch details →deep-research details →