All Open Source Apps
Every app scored on repo health, technical quality, and dependency risk — before you install anything.
Category2
Sort:Health Score
CrateDB
Analytics · Databases
Distributed SQL database for real-time analytics at scale
Onyx
AI Agents · AI Assistants · Knowledge Management
Self-hostable AI platform with agentic RAG, 50+ connectors, deep research, code execution, and support for every major LLM provider.
Open WebUI
AI Agents · AI Assistants
The extensible, privacy-first AI platform that runs Ollama, OpenAI, and any LLM backend behind a polished, feature-packed web interface.
QuestDB
Analytics · Databases
A high-performance, open-source time-series database built for financial market data, IoT telemetry, and real-time analytics, combining a zero-GC Java/C++ core with SIMD-accelerated SQL and a WAL-to-Parquet storage engine.
WrenAI
AI Agents · Analytics · Data Engineering
Open-source GenBI engine that lets AI agents turn natural-language questions into governed SQL, charts, and shareable dashboards across 20+ data sources — no vendor lock-in, no black-box prompts.
Langflow
AI Agents · AI Development
Build, test, and deploy AI agents and RAG workflows visually with native API and MCP server export.
Baserow
Databases · No Code Platforms
Open-source no-code platform to build databases, apps, automations, and AI agents — self-hosted or cloud, with full data ownership.
Skyvern
AI Agents · Automation
Skyvern (YC S2023) automates browser-based workflows by pairing LLMs with computer vision, letting agents click, fill, and extract data on sites they've never seen, without brittle XPath selectors that break on every layout change.
Tracecat
AI Agents · Automation · Security
Open-source agentic security automation platform that runs AI agents and durable workflows at scale with sandboxed execution.
deepagents
AI Agents · AI Development
The batteries-included Python agent harness — planning, sub-agents, filesystem, shell, memory, and skills bundled in, built on LangGraph.
ByteChef
AI Agents · Automation
Unified open-source platform for AI agent orchestration and workflow automation with 180+ connectors, MCP support, and durable execution.
MemPalace
AI Agents · AI Development · AI Memory
Local-first AI memory with verbatim storage, pluggable backends, and 96.6% retrieval recall on LongMemEval — no API key required.
OpenViking
AI Development · AI Memory · Databases
An open-source context database that gives AI agents a unified filesystem for memory, resources, and skills with hierarchical tiered retrieval.
Graphify
AI Agents
A YC-backed, open-source knowledge graph skill for AI coding assistants — type /graphify and it maps your entire project (code, docs, PDFs, images, videos) into a queryable graph instead of grepping through files.
OpenBB
Analytics · Databases · Invoicing Finance
The AI Workspace for Finance: Connect Data, Run AI Agents, Build Analytics
MiroFish
AI Agents · AI Development
A universal swarm intelligence engine that spawns thousands of autonomous AI agents to simulate and predict how real-world events unfold across social, financial, and political domains.
Agent Control
AI Agents
An open-source runtime control plane for AI agents — define safety guardrails once, apply them across agents built on LangChain, CrewAI, Google ADK, or AWS Strands, and update controls without redeploying code.
SWIRL
Data Engineering · Databases · Search
Federated AI search and RAG across 100+ enterprise sources—no data extraction, no vector database required.
Morphik
AI Development · Databases · Search
Morphik is an AI-native ingestion and retrieval engine that lets developers store, search, and reason over visually rich documents — scanned PDFs, manuals, slides, and video — without duct-taping together OCR, an embedding model, and a vector database.
Auto Company
AI Agents · Automation
A 24/7 autonomous AI company: 14 expert-persona agents running on Claude Code or Codex CLI that research, decide, code, deploy, and market real products with a single markdown file as their only memory.
autoresearch
AI Agents · AI Development
Give an AI agent a real LLM training setup and let it experiment autonomously overnight — you wake up to a log of experiments and (hopefully) a better model.