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 pax-beehive · MCP Server · ★ 433
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is paxm safe to install? View the security audit →
PAXM Stop re-explaining your project to every new coding-agent session. PAXM carries decisions, conventions, and working context into later Codex, Claude Code, OpenCode, Pi, and MCP sessions. Start locally with SQLite and no account, API key, embeddings, or extra memory-layer model calls. Change memory providers later without rewiring every agent. Install for Codex · Install the CLI · See the result · Docs · 中文 What changes after installation In one session, record a decision: In a later session, Codex, Claude Code, OpenCode, Pi, or an MCP client can recover it: With passive integration enabled, paxm recalls relevant context before t
| Stars | 433 |
| Forks | 21 |
| Language | Go |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 67.0712616241469/100 |
| Open Issues | 3 |
| Last Updated | 2026-08-28 |
| Created | 2026-07-09 |
| Platforms | claude-code, codex, go, mcp |
| Est. Tokens | ~19k |
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paxm is Persistent, provider-neutral memory for Codex, Claude Code, OpenCode, Pi, and MCP coding agents.. It is categorized as a MCP Server with 433 GitHub stars.
paxm is primarily written in Go. It covers topics such as agent-memory, ai-agents, claude-code.
You can find installation instructions and usage details in the paxm GitHub repository at github.com/pax-beehive/paxm. The project has 433 stars and 21 forks, indicating an active community.
paxm is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to paxm on Agent Skills Hub include memorix, agent-deck, OpenContext. 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: