by asimons81 · MCP Server · ★ 64
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
hermes-dreaming A standalone, open-source staged self-improvement engine for Hermes-style memory, user, skill, and fact updates. It scans explicit source inputs, stages proposed changes in a reviewable artifact directory, and only writes to live state after an explicit apply step. Hermes plugin This repo now ships as a proper Hermes plugin too. Install from GitHub with: For a local checkout during development: Once installed, use: Update the installed checkout with: Use if you only want the status check. The plugin also bundles a Hermes skill named . Load that bare name inside Hermes if you want the guided staged workflow. Onboarding docs is the shortest path from "what is this" to the full loop. covers plugin install and safe fast-forward updates. is the copy/paste offline demo. shows how different operators use the same loop. spells out what Dreaming
| Stars | 64 |
| Forks | 5 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 72.1636090223076/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-11 |
| Created | 2026-05-26 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~151k |
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hermes-dreaming is Staged self-improvement engine for Hermes-style memory, skill, and fact updates with explicit review and apply/discard gates.. It is categorized as a MCP Server with 64 GitHub stars.
hermes-dreaming is primarily written in Python. It covers topics such as ai-agents, cli, mcp.
You can find installation instructions and usage details in the hermes-dreaming GitHub repository at github.com/asimons81/hermes-dreaming. The project has 64 stars and 5 forks, indicating an active community.
hermes-dreaming is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to hermes-dreaming on Agent Skills Hub include ultimate_mcp_client, eval-view, agnix. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.