Open source. Open possibilities.

OpenHive is a model-agnostic runtime for managing colonies of AI agents designed for production business processes, featuring state management, failure recovery, and human-in-the-loop oversight.

DorkOS is a self-hosted mission control dashboard for AI coding agents like Claude Code and Codex. It centralizes session monitoring, allows action approval, schedules tasks, and enables inter-agent communication via MCP.

An auto-updating index of LLM agent frameworks on GitHub, refreshed every 15 minutes by a GitHub Actions cron job that scans, diffs and republishes a structured table of tracked repositories.

Ruflo is an agent meta-harness for Claude Code and Codex that enables multi-agent swarms, self-learning memory, RAG integration, federation, and extensive plugin ecosystem to build coordinated AI workflows.

ALPURIS OS is a Python-based open-source engine that simulates a metropolis of 100 autonomous AI citizens using PIANO dual-speed cognition, an ECS event bus, a 3D WebGL voxel city and procedural Web Audio.

Longe is a self-improving LLM harness in a single Rust binary. It runs persistent sessions with a Lua REPL, three-level memory, sandboxed execution, budget enforcement, and post-run reflection to iterate on its own skills and prompts.

Promise is a statically-typed programming language designed for AI agents to write correct, maintainable code. It features explicit ownership, goroutine-style concurrency, algebraic error handling, generics, and pattern matching. Compiles natively to LLVM for Linux, macOS, Windows, and WASM.

SYNAPSE is an AI-powered intelligence aggregation and automation platform featuring a multi-agent system and RAG capabilities for research and document generation.

Open-source platform for building, deploying, and running AI agents that complete workflows. Includes a hosted paid platform and a self-hosted option, with a visual builder, marketplace, scheduling, and integrations with 45+ services.

An autonomous crypto trading AI orchestrator built on Model Context Protocol (MCP), featuring multi-agent LLM consensus, agentic backtesting, Telegram command center, and a cyberpunk 3D dashboard with real-time market data visualizations.

Adrastea is a Python dual-engine system that pairs a deterministic task execution core (Alpha) with a probabilistic reasoning engine (Beta) for autonomous orchestration: Alpha schedules and runs local programs with reinforcement-learning planning and local Ollama inference, while Beta monitors telemetry, resolves anomalies, tunes scoring weights, and can consult frontier LLMs via MCP.