hermes-lcm (stephenschoettler/hermes-lcm) is an open-source AI project on GitHub. Repository summary: Lossless Context Management plugin for Hermes Agent — DAG-based context engine that never loses a message Its focus includes workflow automation, team collaboration integrations, MCP and tool-calling integration. It is suitable for extension, integration, and iterative delivery in real workflows.
License
Not available
Stars
625
Features
- Core capability: Lossless Context Management plugin for Hermes Agent — DAG-based context engine that never loses a message
- Supports orchestrated automation flows and scheduling
- Integrates with team collaboration and business systems
- Provides MCP or tool-calling integration
- Repository: stephenschoettler/hermes-lcm
- Primary language: Python
Use Cases
- Used for cross-system process automation and operations efficiency
- Used for team knowledge collaboration and task follow-ups
- Connects external systems into agent workflows
- Build internal AI workflow prototypes with hermes-lcm
- Validate hermes-lcm in production-like engineering scenarios
- Building enterprise process automation
FAQ
Teams should first define integration boundaries and call patterns, then map repository capabilities into concrete interfaces, parameters, and access rules. GitHub repository: https://github.com/stephenschoettler/hermes-lcm. Community traction is around 625 stars.
It usually works as an execution component or capability layer, with common deployment fits such as: Used for cross-system process automation and operations efficiency, Used for team knowledge collaboration and task follow-ups, Connects external systems into agent workflows.
