by roboticforce · MCP Server · ★ 69
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Sugar Autonomous issue resolution for AI-assisted development. Security scanners find vulnerabilities. Dependabot opens issues. Copilot flags problems. Sugar reads the issue, writes the fix, runs the tests, and opens the PR. Discovers - watches your GitHub repo for labeled issues (security, bug, dependabot) Resolves - reads each issue and implements a fix using Claude Verifies - runs your test suite and quality gates before committing Ships - opens a PR referencing the original issue, ready for your review No issue left sitting in a backlog waiting for someone to have time. How Sugar Compares Most AI dev tools stop at the discovery layer: Sugar is the resolution layer: Configure which labels Sugar watches, point it at your repo, and run . See workflow examples for security auto-fix, bug triage, test coverage, and more. What Sugar Does Sugar combines persistent memory with autonomous task execution: Project memory - Decisions, preferences, error patterns, and researc
| Stars | 69 |
| Forks | 11 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 33.25/100 |
| Open Issues | 4 |
| Last Updated | 2026-04-09 |
| Created | 2025-08-21 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~128k |
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sugar is Persistent memory for AI coding agents. Cross-session context, global knowledge, and autonomous task execution.. It is categorized as a MCP Server with 69 GitHub stars.
sugar is primarily written in Python. It covers topics such as ai-agents, ai-coding, ai-development.
You can find installation instructions and usage details in the sugar GitHub repository at github.com/roboticforce/sugar. The project has 69 stars and 11 forks, indicating an active community.
The top alternatives to sugar on Agent Skills Hub include Ori-Mnemos, task-orchestrator, omega-memory. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.