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Recall
✓ verifiedFreemium
AI knowledge base that saves, summarizes and connects articles, videos, podcasts and PDFs into a graph you can chat with.
152K visits/mo1.5K saves
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Gumloop
✓ verifiedFreemium
No-code platform for building and running AI agents that automate work across data, sales and support tasks.
701K visits/mo
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LlamaIndex
✓ verifiedFreemium
Developer framework and LlamaParse service for parsing documents and building AI agents and RAG workflows over them.
455K visits/mo1.9K saves
Pricing
No public pricing
Free: $0 (10 AI summaries/mo)
Plus: $10/mo billed yearly (unlimited summaries)
Max: $38/mo billed yearly (bulk actions, model choice)
Pro: $37/month (20k+ credits/month, unlimited seats)
Essential: $24.99 / mo
Premium: $39.99 / mo
Ultimate: $59.99 / mo
No public pricing
Core features
- ✦AI-powered summary of GitHub activities
- ✦Weekly insights into your GitHub contributions
- ✦One-click saving of articles, videos, podcasts, PDFs
- ✦AI summaries of saved content
- ✦Automatic tagging and knowledge-graph linking
- ✦Chat with your knowledge using GPT, Claude or Gemini
- ✦Spaced-repetition quizzes
- ✦Browser extension, web and mobile apps; API/MCP access
- ✦Visual canvas to orchestrate multi-agent workflows
- ✦Prebuilt specialized agents (data, support, CRM, sales)
- ✦Access to many AI models with no vendor lock-in
- ✦Slack, Teams and email agent interaction
- ✦Recurring/scheduled tasks and triggers
- ✦Enterprise security: RBAC, VPC, audit logs, spend controls
- ✦AI-powered trading indicators
- ✦Screeners for identifying high-probability setups
- ✦Backtesters for strategy optimization
- ✦AI Backtesting Assistant for automated strategy building
- ✦Community support and educational resources
- ✦LlamaParse document parsing and extraction
- ✦Open-source framework for AI agents and workflows
- ✦Document indexing for retrieval/RAG
- ✦Prebuilt solutions by industry and use case
- ✦Free starter credits for LlamaParse
Use cases
- →Stay informed about your GitHub contributions and progress.
- →Track your development activities and identify areas for improvement.
- →Building a personal 'second brain'
- →Summarizing long content to save time
- →Chatting with your own saved knowledge
- →Retaining what you read via spaced repetition
- →Automate data analysis and reporting
- →Triage support tickets and spot patterns
- →Keep a CRM updated and research prospects
- →Deploy AI agents across a team's tools
- →Automating complicated price action analysis
- →Generating trading signals and detecting reversals
- →Scanning assets for specific trading criteria
- →Backtesting and optimizing trading strategies
- →Building trading strategies with AI assistance
- →Parse complex documents for AI apps
- →Build RAG and agent workflows
- →Automate invoice and claims processing
- →Search across technical documents
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