AgentIndex icon
AgentIndex
lastsearch logo
lastsearch
★ 20
vs
agent-search-mcp logo
agent-search-mcp
★ 112

lastsearch vs agent-search-mcp

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.; agent-search-mcp: Agent Search MCP is an open-source, self-hosted web search router designed for AI agents, providing free, multi-source evidence with robust cost control. It supports both English and Chinese queries, offering compact output to reduce token costs for agent interactions.

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 →
agent-search-mcp logo
agent-search-mcpRAG / Knowledge Base · ★ 112

Integrating robust web search into AI agent clients such as Claude Desktop, Cursor, or VS Code

Read agent-search-mcp full review →
02

Side-by-Side Comparison

Field
lastsearch logolastsearch
agent-search-mcp logoagent-search-mcp
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 20
★ 112
License
Apache-2.0
Apache-2.0
Install Command
pip install lastsearch
npx -y agent-search-mcp
Updated
5d ago
1mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agents, Web Search, Fact-Checking
Web Search, AI Agents, Search Router
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.
agent-search-mcp logoagent-search-mcp
01Free web search with zero-key sources, eliminating the need for an API account
02Control provider costs with explicit routing policies for paid services
03Reduce token costs for LLMs through compact output and evidence budgeting
04Aggregates multi-source evidence, preserving provenance and handling partial failures
05Supports Chinese web search via Sogou and Baidu without a translation layer
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.
agent-search-mcp logoagent-search-mcp
↳Integrating robust web search into AI agent clients such as Claude Desktop, Cursor, or VS Code
↳Enabling AI agents to gather factual information and verify claims from multiple web sources
↳Developing agent-authored answers from cited evidence while managing token budgets effectively
↳Performing multilingual web searches, particularly for Chinese content, for various AI applications
FAQ

FAQ

What is the difference between lastsearch and agent-search-mcp?
Both lastsearch and agent-search-mcp are in the RAG / Knowledge Base category. lastsearch has 20 stars, while agent-search-mcp has 112 stars.
Which is better, lastsearch or agent-search-mcp?
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 agent-search-mcp if Integrating robust web search into AI agent clients such as Claude Desktop, Cursor, or VS Code.
Is lastsearch free or open source?
Yes, lastsearch is open source on GitHub (Apache-2.0).
Is agent-search-mcp free or open source?
Yes, agent-search-mcp is open source on GitHub (Apache-2.0).
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 agent-search-mcp →lastsearch details →agent-search-mcp details →