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 anthroos · MCP Server · ★ 59
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is openexp safe to install? View the security audit →
OpenExp How did this happen? — a hippocampus for AI agents. Capture trajectories raw. Grade only when reality returns its verdict. Build a labeled corpus of human-AI decisions tied to grounded outcomes. Quick Start · How It Works · Pipeline · Publish · MCP Tools · Status Quick Start That installs the four hooks into Claude Code, brings up Qdrant in Docker, and registers the MCP server. Prerequisites: Python 3.11+, Docker, jq. No API key required for core
| Stars | 59 |
| Forks | 4 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70.11159016061/100 |
| Last Updated | 2026-09-19 |
| Created | 2026-03-22 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~17k |
Looking for a openexp alternative? If you're comparing openexp 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.
The best-benchmarked open-source memory system for AI coding assistants
Self improving agents through iterations
The Universal Cross-Model Episodic Memory Standard. Local-first, project-scoped SQLite engine for Google Antig
Dragon Brain — persistent long-term memory for AI agents via MCP (Model Context Protocol). Knowledge graph (Fa
better git cli for agents
DeepContext is an MCP server that adds symbol-aware semantic search to Claude Code, Codex CLI, and other agent
Explore other popular mcp server tools:
openexp is Outsource your understanding. Capture every human-AI decision as a step in a trajectory; grade trajectories retroactively when outcomes land (deal closed, sprint shipped). Hooks + MCP server for Claud. It is categorized as a MCP Server with 59 GitHub stars.
openexp is primarily written in Python. It covers topics such as ai-agents, claude, claude-code.
You can find installation instructions and usage details in the openexp GitHub repository at github.com/anthroos/openexp. The project has 59 stars and 4 forks, indicating an active community.
openexp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to openexp on Agent Skills Hub include iai-mcp, altk-evolve, engrim. 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: