latitude-llm — security grade SAFE, quality 65/100

Security audit verdict: SAFE · quality 65/100

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 latitude-dev · Agent Tool · ★ 4.7k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is latitude-llm safe to install? View the security audit →

About latitude-llm

Make your AI agents self-healing Agents that fix themselves, at scale. <img src="https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/latitude-dev/latitude-llm/development/.github/badges/p

agent-monitoringagent-observabilityai-error-monitorai-monitoringai-observabilityllm-error-tracingllm-observabilityllm-tools

Quick Facts

Stars4,699
Forks401
LanguageTypeScript
CategoryAgent Tool
LicenseMIT
Quality Score64.8248203340691/100
Open Issues138
Last Updated2026-10-02
Created2024-06-28
Platformsnode
Est. Tokens~17k

Compatible Skills

These tools work well together with latitude-llm for enhanced workflows:

  • openlit — semantic(0.47)+complementary+rare_topics+same_lang+similar_pop+shared_platform (71%)
  • opik-openclaw — semantic(0.32)+complementary+same_lang+similar_pop+shared_platform (61%)
  • failproofai — semantic(0.32)+complementary+same_lang+similar_pop+shared_platform (61%)
  • signoz — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (60%)

latitude-llm alternative? Top 6 similar tools

Looking for a latitude-llm alternative? If you're comparing latitude-llm with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • logfire by pydantic · ⭐ 4.5k

    AI observability platform for production LLM and agent systems.

  • lmnr by lmnr-ai · ⭐ 3.3k

    Laminar - open-source observability platform purpose-built for AI agents. YC S24.

  • phoenix by Arize-ai · ⭐ 11.7k

    AI Observability & Evaluation

  • failproofai by FailproofAI · ⭐ 5.2k

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  • Acontext by memodb-io · ⭐ 3.7k

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  • voltagent by VoltAgent · ⭐ 10.7k

    AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework

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Frequently Asked Questions

What is latitude-llm?

latitude-llm is Open-source observability for AI agents. Find where your agents fail, dispatch your coding agent to fix it, and verify the fix against real traces.. It is categorized as a Agent Tool with 4.7k GitHub stars.

What programming language is latitude-llm written in?

latitude-llm is primarily written in TypeScript. It covers topics such as agent-monitoring, agent-observability, ai-error-monitor.

How do I install or use latitude-llm?

You can find installation instructions and usage details in the latitude-llm GitHub repository at github.com/latitude-dev/latitude-llm. The project has 4.7k stars and 401 forks, indicating an active community.

What license does latitude-llm use?

latitude-llm is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to latitude-llm?

The top alternatives to latitude-llm on Agent Skills Hub include logfire, lmnr, phoenix. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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