by bolna-ai · Agent Tool · ★ 817
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
docker compose up -d bolna-app twilio-app
docker compose up -d bolna-app plivo-appTaken from the project's README on GitHub. Check the security audit before running it.
Flagged: opens a tunnel service. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
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 | 817 |
| Forks | 391 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 64/100 |
| Open Issues | 172 |
| Last Updated | 2026-11-06 |
| Created | 2024-08-24 |
| Platforms | python |
| Est. Tokens | ~16k |
End-to-end open-source voice agents platform: Quickly build voice firsts conversational assistants through a json. Discord | Hosted Docs | Website [!NOTE] We are actively looking for maintainers. Introduction Bolna is the end-to-end open source production ready framework for quickly building LLM based voice driven conversational applications.
Looking for a bolna alternative? If you're comparing bolna 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.
🤖 Everything you need to create an LLM Agent—tools, prompts, frameworks, and models—all in one place.
A set of tools that gives agents powerful capabilities.
Agent samples built using the Strands Agents SDK.
Debug your AI agents
An example agent demonstrating streaming, tool use, and interactivity from your terminal. This agent builder c
An introduction to the world of AI Agents
Explore other popular agent tool 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: