AgentIndex icon
AgentIndex
crystalline logo
crystalline
★ 17
vs
lastsearch logo
lastsearch
★ 20

crystalline vs lastsearch

crystalline: Crystalline provides AI agents with crystallized intelligence, allowing them to accumulate and retain knowledge across sessions, unlike an LLM's fluid intelligence. It acts as a local search index on plain markdown files, enabling agents to onboard curated knowledge and capture new learnings, evolving from a stranger to a peer.; 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.

01

TL;DR

crystalline logo
crystallineRAG / Knowledge Base · ★ 17

Onboard AI agents with curated domain-specific knowledge at the start of each session.

Read crystalline full review →
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 →
02

Side-by-Side Comparison

Field
crystalline logocrystalline
lastsearch logolastsearch
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 17
★ 20
License
AGPL-3.0
Apache-2.0
Install Command
brew install jordiboehme/tap/crystalline && crystalline install claude-code && mkdir -p ~/knowledge/engineering && crystalline domain init ~/knowledge/engineering --name engineering && crystalline domain add engineering ~/knowledge/engineering
pip install lastsearch
Updated
1d ago
5d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agents, Knowledge Base, RAG
AI Agents, Web Search, Fact-Checking
03

Features

crystalline logocrystalline
01Structured knowledge organization using domains (folders) and engrams (markdown files).
02Hybrid search combining full-text and semantic ranking for efficient knowledge retrieval.
03Fluid web UI for human-agent collaboration, enabling reading, editing, and managing knowledge.
04Supports GitHub-based team collaboration with review workflows for shared knowledge.
05Knowledge graph and temporal filtering to understand relationships and time-bounded facts.
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.
04

Use Cases

crystalline logocrystalline
↳Onboard AI agents with curated domain-specific knowledge at the start of each session.
↳Enable AI agents to capture and persist new observations, decisions, and lessons learned from their work.
↳Facilitate team knowledge sharing and collaboration on a continually growing and evolving knowledge base.
↳Reduce redundancy and repeated explanations by providing agents with access to accumulated 'crystallized intelligence'.
↳Efficiently retrieve specific facts or context from a large collection of knowledge units based on task routing.
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.
FAQ

FAQ

What is the difference between crystalline and lastsearch?
Both crystalline and lastsearch are in the RAG / Knowledge Base category. crystalline has 17 stars, while lastsearch has 20 stars.
Which is better, crystalline or lastsearch?
The best choice depends on your use case. Choose crystalline if Onboard AI agents with curated domain-specific knowledge at the start of each session., and lastsearch if AI Agent Grounding: Provide reliable, cited information to AI agents, preventing hallucinations and ensuring factual accuracy..
Is crystalline free or open source?
Yes, crystalline is open source on GitHub (AGPL-3.0).
Is lastsearch free or open source?
Yes, lastsearch is open source on GitHub (Apache-2.0).
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