os-moda
★ 99
vs
on-policy
★ 2.0k
os-moda vs on-policy
os-moda: osModa is the first operating system built for AI agents, transforming your server into an AI brain that autonomously monitors, fixes, and deploys without manual SSH intervention. It features a modular agent runtime, a pre-indexed code knowledge graph, and a self-teaching skill engine, all running on NixOS for atomic transactions and tamper-proof auditing.; on-policy: This repository implements MAPPO, a multi-agent variant of PPO, widely used in cooperative multi-agent games and research. It provides robust implementations for various multi-agent environments like StarCraft II, Hanabi, and Google Research Football, along with detailed training scripts and hyperparameter guidance.
01
TL;DR
Choose os-moda if…Solo developers running their own servers: Automate server monitoring, problem-fixing, and deployment.
Choose on-policy if…Research and experimentation in cooperative multi-agent reinforcement learning
02
Side-by-Side Comparison
03
Features
os-moda01Modular Agent Runtime: Swap between different AI models (e.g., Claude Code, OpenClaw) without SSH or system rebuilds.
02Pre-indexed Code Knowledge Graph (CodeGraph): Allows agents to navigate and understand codebases without manual search.
03Atomic Rollback & Tamper-proof Audit Ledger: Every system change is a transaction with instant rollback, and all actions are recorded in a hash-chained, verifiable audit log.
04Self-teaching Skill Engine: Learns from agent behavior to detect patterns, suggest optimizations, and auto-generate new skills.
05Secure P2P Mesh: Encrypted agent-to-agent communication between servers using post-quantum cryptography.
on-policy01Implementation of MAPPO (Multi-Agent PPO)
02Support for diverse multi-agent environments (e.g., StarCraft II, Hanabi)
03Ready-to-use training scripts for various scenarios
04Detailed hyperparameter guidance and updated results
05Default support for shared policy among agents
04
Use Cases
os-moda↳Solo developers running their own servers: Automate server monitoring, problem-fixing, and deployment.
↳AI agent builders needing infrastructure: Deploy agents with API key management, health monitoring, and crash recovery.
↳Small teams reducing on-call rotations: AI handles routine operations, escalates unfixable issues, and maintains an audit trail.
↳Anyone building an AI workforce: osModa provides the self-managing computing environment for AI agents.
on-policy↳Research and experimentation in cooperative multi-agent reinforcement learning
↳Benchmarking and evaluating PPO's effectiveness in MARL scenarios
↳Training AI agents for popular multi-agent games like StarCraft II and Hanabi
05
Best For
os-modaTrendingEssential
on-policyTrendingReinforcement LearningMulti-Agent AI
FAQ
FAQ
What is the difference between os-moda and on-policy?
Both os-moda and on-policy are in the LLM Infra category. os-moda has 99 stars, while on-policy has 2.0k stars.
Which is better, os-moda or on-policy?
The best choice depends on your use case. Choose os-moda if Solo developers running their own servers: Automate server monitoring, problem-fixing, and deployment., and on-policy if Research and experimentation in cooperative multi-agent reinforcement learning.
Is os-moda free or open source?
Yes, os-moda is open source on GitHub (Apache-2.0).
Is on-policy free or open source?
Yes, on-policy is open source on GitHub (MIT).
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