AI Agents Frameworksopen source

LlamaGym

Fine-tune LLM agents with online reinforcement learning

upvotes
0
reviews
10
avg rating
4.5
Collaborative CodingApplication SecurityAI Agents FrameworksAutomation & CI/CDReinforcement LearningLLM Fine-tuning

about

\"Agents" originated in reinforcement learning, where they learn by interacting with an environment and receiving a reward signal. However, LLM-based agents today do not learn online (i.e. continuously in real time) via reinforcement. OpenAI created Gym to standardize and simplify RL environments, but if you try dropping an LLM-based agent into a Gym environment for training, you'd find it's still quite a bit of code to handle LLM conversation context, episode batches, reward assignment, PPO setup, and more. LlamaGym seeks to simplify fine-tuning LLM agents with RL. Right now, it's a single Agent abstract class that handles all the issues mentioned above, letting you quickly iterate and experiment with agent prompting & hyperparameters across any Gym environment.

features & capabilities

  • /GitHub Copilot: AI-powered code completion and suggestion tool integrated into various code editors.
  • /GitHub Codespaces: Cloud-based development environments providing instant access to pre-configured development setups.
  • /GitHub Actions: Automation platform for software workflows, enabling tasks such as building, testing, and deployment.
  • /GitHub Issues: Issue tracking system for managing bugs, enhancements, and other requests.
  • /GitHub Pull Requests: Facilitates code review and collaboration on code changes before merging into the main branch.
  • /GitHub Discussions: Platform for community collaboration and open-ended conversations outside of code.
  • /GitHub Code Search: Powerful code search functionality for efficient code discovery and navigation.
  • /GitHub Projects: Project management tools for organizing and tracking work using boards, tables, and task lists.
  • /GitHub Packages: Package hosting service for software packages, supporting both private and public hosting.
  • /GitHub Advanced Security: Suite of security features for detecting and addressing vulnerabilities and secrets in code.
  • /GitHub Sponsors: Platform for financially supporting open source projects and developers.
  • /GitHub Skills: Learning platform for acquiring new skills through interactive tasks and projects.
  • /GitHub CLI: Command-line interface for managing GitHub repositories and workflows.
  • /GitHub Desktop: Desktop application for simplifying Git workflows, providing a visual interface for managing code changes.
  • /GitHub Mobile: Mobile applications for accessing and managing GitHub repositories and workflows on mobile devices.
  • /Dependabot: Automated dependency update tool for identifying and addressing vulnerabilities in project dependencies.
  • /Webhooks: Event-driven integration mechanism for connecting GitHub with other services and automating workflows.
  • /GitHub-hosted runners: Cloud-based environments for running GitHub Actions workflows.
  • /Self-hosted runners: Option to run GitHub Actions workflows on users' own machines.
  • /Workflow visualization: Tool for visualizing and tracking the progress of GitHub Actions workflows.
  • /Workflow templates: Pre-configured workflow templates for standardizing and scaling best practices.
  • /Protected branches: Mechanism for enforcing branch protection rules and access control.
  • /Draft pull requests: Enables collaboration and discussion on code changes before formal review.
  • /Security campaigns: Automated tool for fixing security alerts at scale.
  • /Secret scanning: Detects hard-coded secrets in repositories.
  • /GitHub Copilot secret scanning: AI-powered secret detection capabilities.
  • /Dependency graph: Visualizes project dependencies and their vulnerabilities.
  • /Dependency review: Allows assessment of security impact of new dependencies in pull requests.
  • /GitHub security advisories: Platform for reporting, discussing, and publishing security vulnerabilities.
  • /Private vulnerability reporting: Enables private reporting of vulnerabilities to maintainers.
  • /GitHub Advisory Database: Database of known vulnerabilities and security advisories.
  • /Dependabot security and version updates: Automatically creates pull requests to update vulnerable or outdated dependencies.
  • /Organizations: Enables the creation of user groups for managing repositories and access.
  • /Teams: Allows organizing members into groups for managing permissions and collaboration.
  • /Team sync: Synchronizes teams between identity providers and GitHub.
  • /Custom roles: Allows defining custom user roles with specific permissions.
  • /Custom repository roles: Enables creating custom roles with fine-grained permission settings for repositories.
  • /Domain verification: Verifies organization's identity on GitHub.
  • /Compliance reports: Provides access to compliance reports such as SOC reports and CSA CAIQ.
  • /Audit log: Tracks actions performed by organization members.
  • /Repository rules: Enhances organization security with source code protections and rule insights.
  • /Enterprise accounts: Enables collaboration between organization and GitHub environments.
  • /GitHub Connect: Enables sharing features and workflows between GitHub Enterprise Server and GitHub Enterprise Cloud.
  • /SAML: Enables secure access control using SAML for authentication.
  • /Enterprise Managed Users: Manages user lifecycle and authentication from an identity provider.
  • /Bring your own identity provider for Enterprise Managed Users: Allows using custom SSO and SCIM providers for user management.
  • /Wikis: Enables hosting project documentation within repositories.

industry focus

Artificial IntelligenceMachine LearningReinforcement Learning

FAQ

What is LlamaGym?
LlamaGym is an AI agent profile on explainx.ai. The directory summarizes positioning, optional website links, and community ratings so buyers and developers can compare agents before visiting the vendor.
How are LlamaGym reviews calculated?
This page shows 10 ratings with an average of about 4.5 out of 5, combining illustrative sample rows with signed-in user reviews—always validate claims on the official product site.
Where can I browse more agents?
Use the explainx.ai agents index at /agents to filter by category, upvotes, and related listings.
agent reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    LlamaGym is among the more trustworthy entries we bookmarked; the explainx.ai profile reads like a practitioner summary.

  • Piyush G· Sep 9, 2024

    We compared LlamaGym with three neighbors in the same category; this one had the most concrete “what it does” framing.

  • Chaitanya Patil· Aug 8, 2024

    Solid agent profile: LlamaGym links out cleanly and the on-site reviews add signal beyond marketing copy.

  • Sakshi Patil· Jul 7, 2024

    LlamaGym reduced evaluation time — saves/upvotes on explainx.ai correlated with fewer surprises in the trial.

  • Ganesh Mohane· Jun 6, 2024

    I recommend LlamaGym for teams already running multiple AI agents; the listing helped us narrow the short list quickly.

  • Oshnikdeep· May 5, 2024

    Good discoverability: LlamaGym shows up in the agents directory with enough detail to pre-qualify buyers.

  • Dhruvi Jain· Apr 4, 2024

    LlamaGym has been stable for production-ish demos; the explainx.ai page was a useful single link to share internally.

  • Rahul Santra· Mar 3, 2024

    According to our evaluation, LlamaGym benefits from clear positioning — fewer buzzwords than typical agent landing pages.

  • Pratham Ware· Feb 2, 2024

    We piloted LlamaGym for two weeks; the registry summary and category tag matched what the product actually emphasizes.

  • Yash Thakker· Jan 1, 2024

    LlamaGym is a strong agent listing on explainx.ai — the profile made it easy to compare capabilities before we signed up on the vendor site.