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 Goldziher · MCP Server · ★ 100
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is basemind safe to install? View the security audit →
The context and communication layer for coding agents. basemind turns any repo into an always-current map of its code, documents, history, and memory — so agents answer from structure and search instead of burning their context window on and file reads — and gives a team of agents a shared channel to coordinate while they work. One server does both. Code map across 300+ languages · documents in 90+ formats · semantic + full-text search · git history & blame · shared memory · web crawl · agent-to-agent comms Install · Features · How it works · Performance · CLI <img src="
| Stars | 100 |
| Forks | 20 |
| Language | Rust |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69.3349065427398/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-18 |
| Created | 2024-06-01 |
| Platforms | browser, claude-code, cli, mcp, rust |
| Est. Tokens | ~27k |
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basemind is Full AI context and content layer for coding agents over one MCP server — tree-sitter code-map, document RAG, shared memory, multi-agent comms, web crawl, git history + blame. 300+ languages, 10+ agen. It is categorized as a MCP Server with 100 GitHub stars.
basemind is primarily written in Rust. It covers topics such as agent-context, ai-agents, claude.
You can find installation instructions and usage details in the basemind GitHub repository at github.com/Goldziher/basemind. The project has 100 stars and 20 forks, indicating an active community.
basemind is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to basemind on Agent Skills Hub include octocode, deepcontext-mcp, pdf-mcp. 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: