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Developer API that gives AI agents persistent memory, retrieval, and connectors, usable both as infrastructure and a personal app.
Free AI assistant from I4DI that mines 13,000+ development documents to give tailored guidance for aid and NGO projects.
AI creation studio that gathers scattered notes and ideas, then helps shape them into articles, slides, videos, or webpages.
AI knowledge platform (Alani) that turns files, video, audio and docs into cited, source-grounded answers with persistent memory.
Developer framework and LlamaParse service for parsing documents and building AI agents and RAG workflows over them.
No public pricing
No public pricing
No public pricing
- ✦Persistent, structured memory built as a knowledge graph
- ✦Sub-300ms hybrid retrieval (RAG) with reranking
- ✦Native filesystem mount for agent memory access
- ✦Connectors to Slack, Notion, Drive, Gmail, GitHub, S3
- ✦Automatic extraction from PDFs, images, and audio
- ✦User profile and behavior tracking across sessions
- ✦Multi-agent CrewAI system
- ✦Insights from 13,000+ USAID/DEC documents
- ✦Specialized agents (methodology, technical, MEL, compliance, etc.)
- ✦Contextualized, prompt-based recommendations
- ✦Free public-good access
- ✦Central capture space for saved articles, videos, and notes
- ✦AI prompts that surface connections and gaps in collected ideas
- ✦Generates articles, slide decks, videos, and webpages from source material
- ✦Prebuilt style templates for slides and pages
- ✦Available as desktop app, browser extension, and mobile app
- ✦Skill and prompt library for specific creation tasks
- ✦Source-cited, grounded AI answers
- ✦Persistent memory across sessions
- ✦Video, audio, PDF and doc parsing
- ✦Choice of LLM (GPT, Claude, Gemini)
- ✦Alani Hub, Connect and Insights products
- ✦Collaboration and sharing
- ✦Enterprise-grade privacy
- ✦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
- →Developers adding long-term memory to AI agents
- →Teams building agents that need to sync with existing tools
- →Individuals wanting one memory layer shared across multiple AI assistants
- →Designing development programs
- →Evaluating and monitoring projects
- →Ensuring USAID compliance
- →Structuring reports and communications
- →Creators consolidating research into finished blog posts or scripts
- →Professionals turning meeting notes into structured reports
- →Teachers converting lesson ideas into slides and video lessons
- →Product managers organizing scattered feedback into insights
- →Personal 'second brain' knowledge base
- →Verified research and analysis
- →Content communities and monetization
- →Enterprise data workflows and insights
- →Parse complex documents for AI apps
- →Build RAG and agent workflows
- →Automate invoice and claims processing
- →Search across technical documents