by huggingface · MCP Server · ★ 585
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Flagged: sudo usage. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 585 |
| Forks | 52 |
| Language | Rust |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 64/100 |
| Open Issues | 5 |
| Last Updated | 2026-11-06 |
| Created | 2026-06-18 |
| Platforms | claude-code, codex, mcp, rust |
| Est. Tokens | ~24k |
funes Durable memory for your AI coding agents. indexes your past sessions across Claude Code, Codex, pi, and Hermes and lets any agent recall the past decisions, rationale, and findings. Your memory is a dataset you can publish to the Hugging Face Hub — then any machine, teammate, or agent can recall from it.
These tools work well together with funes for enhanced workflows:
Looking for a funes alternative? If you're comparing funes with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
A collection of AI agent skills for Clawdbot, Claude Code, Codex
Local-first coordination for human and agent work: durable work, decisions, dispatches, evidence, and prompt-f
Web, Desktop & Mobile client and orchestrator for Codex, Claude Code, OpenCode, Pi, Cursor, Grok, Antigravity,
The control plane for AI coding agents.
a recursive self-improving harness designed to help your agents (and future iterations of those agents) succee
Lightweight Agent Workstation for Codex + Claude code + keke-agent — with dots, task scheduler, git worktree &
Explore other popular mcp server tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: