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 liliang-cn · MCP Server · ★ 263
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is cortexdb safe to install? View the security audit →
CortexDB AI memory and a knowledge graph in one SQLite file. Pure Go, no service to run, works without an embedding model. Install Use go db, := cortexdb.Open(cortexdb.DefaultConfig("brain.db")) defer db.Close() brain := db.KnowledgeMemory() , = brain.Remember(ctx, cortexdb.KnowledgeMemoryRememberRequest{Content: "Alice prefers tabs.", Scope: "user"}) rec, := brain.Recall(ctx, cortexdb.Knowledg
| Stars | 263 |
| Forks | 6 |
| Language | Go |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.088936507317/100 |
| Last Updated | 2026-10-04 |
| Created | 2025-08-07 |
| Platforms | claude-code, codex, go, mcp |
| Est. Tokens | ~16k |
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cortexdb is AI memory and a knowledge graph in one SQLite file. Pure Go: vectors, RAG, agent memory, RDF/SPARQL, Cypher, 80+ MCP tools. Works without an embedding model.. It is categorized as a MCP Server with 263 GitHub stars.
cortexdb is primarily written in Go. It covers topics such as agent-memory, ai-memory, claude-code.
You can find installation instructions and usage details in the cortexdb GitHub repository at github.com/liliang-cn/cortexdb. The project has 263 stars and 6 forks, indicating an active community.
cortexdb is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to cortexdb on Agent Skills Hub include Ori-Mnemos, shodh-memory, hermes-memory-installer. 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: