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 oleksiijko · MCP Server · ★ 296
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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PMB Local-first memory for your AI coding agent. One file on your disk. Twenty-nine MCP tools. No cloud. Install · Demo · How it works · FAQ PMB gives Claude Code, Cursor, Codex and the other MCP-aware agents a real memory. Decisions you made last week. Lessons you taught them. Personal facts about you. Project structure. PDFs. They survive every restart, every model upgrade, every agent switch — because they live in one SQLite file on your disk. No API keys. No subscription. No LLM call on the read path. Just files. That's it. Your agent now remembers. What it feels like You: fix that LoadGuard pricing bug we hit last Tuesday Agent: prepare(message="fix LoadGuard pricing bug") ↓ (6 ms) → projectcontext: 12 events about LoadGuard, 4 lessons (incl
| Stars | 296 |
| Forks | 23 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 70.7286760858128/100 |
| Open Issues | 3 |
| Last Updated | 2026-08-23 |
| Created | 2026-05-25 |
| Platforms | claude-code, codex, mcp, python |
| Est. Tokens | ~18k |
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pmb is Local-first persistent memory for AI coding agents (Claude Code, Cursor, Codex) over MCP. Decisions, lessons and facts live in one SQLite file on your disk. Offline, multilingual.. It is categorized as a MCP Server with 296 GitHub stars.
pmb is primarily written in Python. It covers topics such as ai-agents, ai-memory, bm25.
You can find installation instructions and usage details in the pmb GitHub repository at github.com/oleksiijko/pmb. The project has 296 stars and 23 forks, indicating an active community.
pmb is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to pmb on Agent Skills Hub include iai-mcp, omega-memory, nocturne_memory. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.