lastsearch
★ 20
vs
stashbase
★ 1.1k
lastsearch vs stashbase
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.; stashbase: StashBase enables AI agents to search and utilize content from your local files, including PDFs, DOCX, images, audio, and video. It creates a searchable index from your folders, allowing agents to find relevant context by meaning rather than just keywords.
01
TL;DR
lastsearchRAG / Knowledge Base · ★ 20
AI Agent Grounding: Provide reliable, cited information to AI agents, preventing hallucinations and ensuring factual accuracy.
stashbaseRAG / Knowledge Base · ★ 1.1k
When to choose:
- You want a desktop app that indexes folders of PDFs, DOCX, images, audio and video and shares them with Claude, Codex and other MCP clients.
- Your files must stay the source of truth: the index can be rebuilt, and removing a folder never deletes files.
- You want exact text search with no key, and semantic search only if you opt in.
When to skip:
- Your documents cannot leave the machine and you need semantic search: it sends content to OpenAI or OpenRouter.
- You are on Linux and need official support: Linux builds are community-supported.
- You only need one file converted now and then: an MCP converter is lighter.
02
Side-by-Side Comparison
Field
lastsearchstashbaseCategory
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 20
★ 1.1k
License
Apache-2.0
Apache-2.0
Install Command
pip install lastsearch
brew install --cask liliu-z/stashbase/stashbase
Updated
5d ago
1d ago
Open Source
Yes
Yes
Tags
AI Agents, Web Search, Fact-Checking
Local Files, RAG, AI Agents
03
Features
lastsearch01Evidence-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.
stashbase01Extracts searchable text from various formats including PDFs, DOCX, images (OCR), audio, and video (transcription).
02Semantic search capabilities to find relevant context by meaning, supported by an AI Index.
03Connects and shares searchable context across Claude, Codex, and other MCP clients and built-in agents.
04Maintains local files as the source of truth, with indexes and derived data stored separately.
04
Use Cases
lastsearch↳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.
stashbase↳Providing AI agents with searchable access to research papers and contracts stored locally.
↳Enabling chatbots to answer questions based on internal documentation, scanned documents, and recordings.
↳Developers wanting to query project design documents and architecture notes using a built-in AI agent.
↳Organizing and searching personal knowledge bases that primarily consist of diverse local file types.
05
Best For
lastsearch—
stashbaseTrending
FAQ
FAQ
What is the difference between lastsearch and stashbase?
Both lastsearch and stashbase are in the RAG / Knowledge Base category. lastsearch has 20 stars, while stashbase has 1.1k stars.
Which is better, lastsearch or stashbase?
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 stashbase if Providing AI agents with searchable access to research papers and contracts stored locally..
Is lastsearch free or open source?
Yes, lastsearch is open source on GitHub (Apache-2.0).
Is stashbase free or open source?
Yes, stashbase is open source on GitHub (Apache-2.0).
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