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 samvallad33 · MCP Server · ★ 628
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is vestige safe to install? View the security audit →
Vestige Local cognitive memory for MCP-compatible AI agents. Your agent forgets project decisions between sessions. Vestige gives it local, inspectable memory. Built on proven memory and retrieval ideas — FSRS-6 spaced repetition, prediction error gating, synaptic tagging, spreading activation, and memory consolidation — all running in a single Rust binary with a local dashboard. 100% local. Zero cloud. Quick Start Docs What's New in v2.1.23 "Receipt Lock Hardening" v2.1.23 turns the Sanhedrin Receipt Lock launch into something more portable, observable, and harder to spoof. Model-agnostic Sanhedrin presets. Sanhedrin no longer guesses a large default verifier. Users choose any OpenAI-compatible endpoint/model, or start from custom, small
| Stars | 628 |
| Forks | 67 |
| Language | Rust |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 66.3470068813843/100 |
| Open Issues | 21 |
| Last Updated | 2026-09-18 |
| Created | 2026-01-25 |
| Platforms | claude-code, mcp, rust |
| Est. Tokens | ~27k |
These tools work well together with vestige for enhanced workflows:
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vestige is Cognitive Deterministic Memory Security OS for Agentic AI. Deterministic root-cause retrieval that reaches backward through time to find the quiet change behind today's failure, not the lookalike.. It is categorized as a MCP Server with 628 GitHub stars.
vestige is primarily written in Rust. It covers topics such as agent-memory, agent-telemetry, ai-agents.
You can find installation instructions and usage details in the vestige GitHub repository at github.com/samvallad33/vestige. The project has 628 stars and 67 forks, indicating an active community.
vestige is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to vestige on Agent Skills Hub include shodh-memory, mcp-memory-service, Ori-Mnemos. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: