All Open Source Apps

Self-hostable AI platform with agentic RAG, 50+ connectors, deep research, code execution, and support for every major LLM provider.

The extensible, privacy-first AI platform that runs Ollama, OpenAI, and any LLM backend behind a polished, feature-packed web interface.

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.

Build, test, and deploy AI agents and RAG workflows visually with native API and MCP server export.

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.

Open-source agentic security automation platform that runs AI agents and durable workflows at scale with sandboxed execution.

The batteries-included Python agent harness — planning, sub-agents, filesystem, shell, memory, and skills bundled in, built on LangGraph.

An open-source MCP platform for organizations — host MCP servers, run MCP registries, monitor usage, and build agents and chatbots on top of the Model Context Protocol from one self-hosted deployment.

Unified open-source platform for AI agent orchestration and workflow automation with 180+ connectors, MCP support, and durable execution.

Local-first AI memory with verbatim storage, pluggable backends, and 96.6% retrieval recall on LongMemEval — no API key required.

Instant, concurrent, hardware-isolated MicroVM sandboxes for AI agents — E2B-API compatible, sub-60ms cold starts, and a built-in zero-trust egress proxy, all self-hostable at scale.

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.

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.

Give your AI agents a real, authenticated email address — with SPF/DKIM-verified inbound, HMAC-signed delivery, WebSocket fan-out, and human-in-the-loop approval built in.

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.

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.

kubectl for AI Agents — manage, schedule, and scale your AI workforce with a single binary that deploys in seconds.

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.

Ephemeral, VM-isolated "Agent Computers" for AI agents — a Kubernetes-native REST API backed by Kata Containers microVMs.