by vbcherepanov · MCP Server · ★ 75
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx -y total-agent-memory connect claude-code # Node, zero-install
uvx total-agent-memory # Python via uv (fast)Taken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
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 | 75 |
| Forks | 18 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66/100 |
| Open Issues | 9 |
| Last Updated | 2026-11-04 |
| Created | 2026-02-16 |
| Platforms | claude-code, cli, codex, mcp, python |
| Est. Tokens | ~25k |
total-agent-memory The only memory layer that learns how you work — not just what you said. Persistent, local memory for AI coding agents: Claude Code, Codex CLI, Cursor, any MCP client. Temporal knowledge graph · procedural memory · AST codebase ingest · cross-project analogy · 3D WebGL visualization. []() []() []() [![Docker GHC
These tools work well together with total-agent-memory for enhanced workflows:
Looking for a total-agent-memory alternative? If you're comparing total-agent-memory 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.
Outcome-based persistent memory MCP server for Claude Code and OpenCode. Good advice promoted, bad advice demo
Local-first persistent agentic memory powered by Recursive Memory Harness (RMH). Open source must win.
Biologically-inspired persistent memory engine for Claude Code. 26 cognitive subsystems, Hopfield networks, pr
Persistent memory for AI coding agents
Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn fro
MCP server that lets Claude Code and other AI agents read and search large PDFs, one file or a whole folder: a
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: