emisar
★ 354
vs
on-policy
★ 2.1k
emisar vs on-policy
emisar: emisar enables MCP-capable agents to perform declared infrastructure actions securely on remote hosts, governed by strict policy. It provides a control plane and an outbound-only runner that enforces execution limits and ensures audited, safe interaction with production systems.; 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 emisar if…Enabling AI/LLM agents to securely perform infrastructure actions.
Choose on-policy if…Research and experimentation in cooperative multi-agent reinforcement learning
02
Side-by-Side Comparison
03
Features
emisar01Declared actions with fixed contracts
02Policy-driven control and conditional approval
03Outbound-only host runner for enhanced security
04Comprehensive audit trails and local journaling
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
emisar↳Enabling AI/LLM agents to securely perform infrastructure actions.
↳Automating host management tasks without exposing inbound ports.
↳Auditing and enforcing policies on agent-initiated production changes.
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
emisarEssentialHidden Gem
on-policyTrendingReinforcement LearningMulti-Agent AI
FAQ
FAQ
What is the difference between emisar and on-policy?
Both emisar and on-policy are in the LLM Infra category. emisar has 354 stars, while on-policy has 2.1k stars.
Which is better, emisar or on-policy?
The best choice depends on your use case. Choose emisar if Enabling AI/LLM agents to securely perform infrastructure actions., and on-policy if Research and experimentation in cooperative multi-agent reinforcement learning.
Is emisar free or open source?
Yes, emisar is open source on GitHub (NOASSERTION).
Is on-policy free or open source?
Yes, on-policy is open source on GitHub (MIT).
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