Open Source AI Development Apps

The open-source LLMOps platform unifying prompt engineering, evaluation, and observability for teams building reliable LLM applications.

An open source AI-native proxy that secures, observes, and governs agent-to-LLM, agent-to-tool, and agent-to-agent communication through MCP, A2A, and unified LLM routing.

Build, run, and manage agent platforms with a full production stack — SDK, runtime, and control plane included.

An all-in-one open-source training suite for finetuning diffusion models—FLUX, SDXL, Wan video, and audio—on consumer GPU hardware via CLI or web UI.

Collaborate on high-quality AI training data with a self-hosted annotation platform built for LLMs, NLP, and multimodal models.

Give your LLM agents on-the-job training—ART lets you apply GRPO reinforcement learning to any multi-step agentic workflow with minimal code changes.

Build autonomous and human-in-the-loop multi-agent AI systems with a layered, event-driven Python and .NET framework pioneered at Microsoft Research.

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.

Run AI workloads at scale with a Pythonic serverless runtime that handles GPU inference, background jobs, and sandboxes with zero infrastructure overhead.

The open-source hub for building and deploying LLM-powered AI agents with TypeScript-first tooling, 40+ integrations, and a revolutionary code-execution agent framework.

Open-core workflow engine for building AI-powered automations in TypeScript that run natively inside Slack — no context switching required.

Give your AI coding agents persistent memory — claude-mem captures everything that happens during sessions, compresses it with AI, and surfaces the right context in every future session automatically.

An incremental data indexing engine that keeps AI agent context perpetually fresh by reprocessing only what changed.

Open-source coding agent for VS Code, JetBrains, and CLI with support for 30+ LLM providers.

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

Visual LLM workflow platform with RAG pipelines, agent capabilities, and model management for building production AI applications.

Build AI-powered apps locally with your own keys, your own models, and zero cloud lock-in.

Drag-and-drop visual builder for AI agents, RAG pipelines, and multi-agent systems—deploy anywhere in minutes.

Git, but better — a modern version control client with stacked branches, parallel workflows, unlimited undo, and first-class support for AI-powered development.

Compress everything your AI agent reads — tool outputs, logs, RAG chunks, and files — before it reaches the LLM, achieving 60–95% fewer tokens with the same answers.

Build and run agentic workflows across channels with YAML, tools, and RAG

Turn plain HTML and CSS into deterministic, pixel-perfect MP4 videos — authored by humans or AI agents, rendered by headless Chrome and FFmpeg.

Self-hosted, open-source email API that automates DNS, manages SMTP delivery, and provides deep observability — replacing SES, Mailgun, and SendGrid with infrastructure you fully own.

Transform messy, unstructured documents into persistent, navigable memory that AI agents can actually use.

One API endpoint for 25+ LLM providers — route, track costs, enforce compliance, and switch models without changing your code.

A fully local web research assistant that iteratively searches, summarizes, and refines markdown reports using any Ollama or LMStudio model—no cloud or API keys required.

Build enterprise-grade AI agents with RAG, workflows & multi-modal support

High-performance in-memory graph database for AI context and real-time analytics

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

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.

A local-first AI memory sidecar that extracts entities, builds a persistent knowledge graph, and injects ranked context into any LLM pipeline — no cloud required.

Run LLM-generated Python code safely inside your agent—no containers, no CPython, no compromise—with sub-microsecond startup.

Turn coding agents into real teammates — assign issues, track progress, and compound reusable skills across a vendor-neutral, self-hosted platform.

Build and deploy an open-source analytics agent that understands your data warehouse and answers business questions in plain English.

Run AI coding agents like OpenClaw and Hermes securely inside NVIDIA OpenShell sandboxes with a hardened blueprint, routed inference, and lifecycle management through a single CLI.

A single graph+vector+temporal database for AI workloads — Neo4j-compatible, sub-millisecond hybrid search, and built-in memory decay.

Turn AI-written code into real apps — an open-source, self-hostable backend with Database, Auth, Storage, Memory, Functions, Assets, AI Gateway, and cron built for AI coding agents.

The self-hosted developer control center for running AI coding agents — locally, in Docker, on VMs, or across cloud backends — with automation workflows for GitHub, Slack, and more.

An open-source context database that gives AI agents a unified filesystem for memory, resources, and skills with hierarchical tiered retrieval.

Open-source vector database and search engine built in Rust for production-grade AI applications — from semantic search to RAG pipelines and recommendation systems.

Build deterministic, versioned agent skills from natural language—run them anywhere from Claude Code to Slack.

Build, test, and deploy multi-agent AI workflows with a visual editor, RAG data sources, MCP tool integration, and a production-ready REST API.

Drop your files and search them instantly — no vector DB, no indexing pipeline, just raw data queried by a self-evolving intelligence layer.

The state-of-the-art memory and context engine for AI agents — ranked #1 on all three major AI memory benchmarks.

Orchestrate an army of AI coding agents—Claude Code, Codex, Gemini CLI, and more—running simultaneously in isolated git worktrees from a single Electron desktop app.

Symphony turns your issue tracker into an autonomous implementation engine—spawning isolated coding agents per ticket so your team manages work, not agents.

AI-Native Distributed SQL Database for Agentic Workloads

A pretrained decoder-only foundation model by Google Research that delivers zero-shot time series forecasting with calibrated quantile prediction intervals — no training required.

All-in-one self-hostable platform for hybrid search, RAG, recommendations, and analytics built on Rust and Qdrant.

Build and deploy fully-managed AI agents and background jobs in TypeScript — with no timeouts, durable retries, real-time observability, and elastic scaling built in.

Build sophisticated chatbots visually, embed them anywhere without iframes, and own your data — fully self-hostable with a modular block system and 30+ integrations.

Clone voices, dictate anywhere, and give AI agents your voice — all locally.