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A Rust-built, open-source vector database optimized to pack far more vectors per GB of RAM without losing recall, for teams running many-tenant deployments where memory is the bottleneck.
Open source
What to know▼
How it works
Multi-tenant architecture purpose-built for RAM efficiency at high tenant density.
What's different
Prioritizes memory efficiency over other tradeoffs; written in Rust.
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An Apache-2.0, offline-first toolkit that renders in-browser previews of Office, PDF, CAD and other files without a server-side conversion step. For developers embedding document viewers in self-hosted apps.
Watch out · Read-only fidelity varies by file format.
Works offlineOpen sourceSelf-hosted
What to know▼
How it works
A browser-native toolkit that renders read-only previews of Office, PDF/OFD, CAD, archive, email, diagram, 3D, media and data files (206 extensions across 24 pipelines) without a mandatory server-side conversion step.
What's different
Apache-2.0 licensed and offline-first; components can be self-hosted and used across Vanilla JS, React, Vue, Svelte and jQuery.
Best for
Developers embedding document/file preview into private or internal web apps.
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An open-source toolkit for building AI features — chat, RAG, speech, vision — that runs entirely in the browser with no servers and no data leaving the device. Built for developers.
Works offlineData stays with youOpen source
What to know▼
How it works
An open-source toolkit for running AI entirely in the browser: LLM chat across 76 models, RAG and vector search, Whisper and Kokoro speech, and vision, with no server or API key required. Runs on WebGPU with a WebAssembly fallback.
What's different
Data never leaves the device, and it ships a zero-dependency core plus a shadcn UI registry of 107 components and 36 installable blocks for building on top of it.
Pricing
Open source (MIT license).
Best for
Developers building browser-based AI features without standing up servers or managing API keys.
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A local-first, self-hostable, open-source notes app with semantic search, autonomous research agents, and voice notes, where data never leaves the user's machine unless they choose to share it.
Watch out · Requires self-hosting, so it needs technical setup compared to a hosted notes app.
Works offlineData stays with youOpen source
What to know▼
How it works
Stores notes locally and adds semantic search, ReAct agents, cited deep research, voice notes, and financial analysis on top, all self-hosted and MIT licensed.
Best for
Technical users who want an AI-augmented notes app without sending their data to the cloud.
Watch out
Requires self-hosting, so it needs technical setup compared to a hosted notes app.
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An open-source knowledge graph framework that extracts the reasoning behind relationships between data points, not just the connections themselves, for building agents that navigate by intent rather than keyword.
Open source
What to know▼
How it works
Extracts semantic reasoning behind graph edges instead of storing them as plain strings
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An MCP server that gives Claude/ChatGPT/Gemini direct access to SEC filings, earnings call transcripts, and congressional trading data, citing sources.
FreeOpen source
What to know▼
How it works
90 tools + REST API over 5,000+ US stocks: filings, self-captured earnings call transcripts, KPIs, insider/congress trades.
What's different
Cites every answer to the source filing and is built to refuse guessing.
Pricing
Free tier: 100 calls/day.
Best for
Developers building financial research tools or analysts using AI assistants for filings research.
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An open-source, fully on-prem GraphRAG framework combining knowledge-graph reasoning with governed AI agents that cite every answer, for teams that can't send data to the cloud.
Open sourceSelf-hosted
What to know▼
How it works
An open-source, on-prem GraphRAG framework combining tree-search navigation with knowledge-graph reasoning so an LLM answers multi-hop questions and cites every claim to its source; VeritasGraph Studio wires the knowledge graph into governed AI agents with guardrails, memory, tools and MCP bridges.
What's different
Runs 100% on-prem via Ollama with no data egress, and ships an MCP server plus a deterministic policy engine.
Pricing
Open-source.
Best for
Teams that need multi-hop, source-cited RAG answers but can't send data to the cloud.
