No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by saxenauts · MCP Server · ★ 58
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is syke safe to install? View the security audit →
Syke Syke is a local memory agent that works with your other AI agents. It runs in the background as an ambient agent, keeps up with your work across supported local harnesses and concurrent sessions, and serves a coherent memory for other agents to rely on. It reads your local agent activity and maintains a coherent timeline of objects, intent, and progress in prose. It serves a projection as plus a CLI interface. Your agents use , , and in their workflow. As a self-maintaining memory agent, it adapts to your workflow by revising its own durable memory state over time. You can also use syke beyond typical memory use cases, like debugging, having syke as a sidekick agent, for brainstorming and research while you work with your main coding agents. Install Alternative: is interactive. It inspects your machine fo
| Stars | 58 |
| Forks | 3 |
| Language | Python |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 67.6357723180051/100 |
| Open Issues | 8 |
| Last Updated | 2026-07-25 |
| Created | 2025-12-27 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~350k |
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syke is dynamic identity - agentic memory - your digital extension for all your AI. It is categorized as a MCP Server with 58 GitHub stars.
syke is primarily written in Python. It covers topics such as agent-sdk, ai, anthropic.
You can find installation instructions and usage details in the syke GitHub repository at github.com/saxenauts/syke. The project has 58 stars and 3 forks, indicating an active community.
syke is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to syke on Agent Skills Hub include smart-tree, claude-historian-mcp, recall. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.