8 Best Superagent Alternatives in 2026 (Open Source)
Superagent protects your AI applications against prompt injections, data leaks, and harmful outputs. Embed safety directly into your app and prove compliance to your customers. YC-backed AI safety SDK that pivoted from general agent building to focused safety tooling — provides guard, redact, and scan capabilities with open-weight models for self-hosting, filling the gap between building agents and securing them
Short answer
- Closest match to Superagent: LLM Guard.
- Most actively developed: langwatch (1,587 commits in the last 90 days).
- Fastest growing: Promptfoo (+1,110 GitHub stars in the last 30 days).
- No commit in 6+ months: LangKit, agentic-radar and UpTrain.
These 8 open-source tools do the same job. They are ordered by how closely they match Superagent, with live GitHub data so you can see which projects are actively maintained.
By package downloads Promptfoo is the most used here (3.0M in the last 30 days), and it also has the most GitHub stars. See all agent tools by downloads.
| Tool | GitHub stars | Stars / 30d | Last commit | Downloads / 30d |
|---|---|---|---|---|
| Superagent(original) | 6.8k | +41 | 2026-08-25 | — |
| LLM Guard | 3.2k | +74 | 2026-07-08 | — |
| Guardrails | 7.2k | +217 | 2026-10-01 | 446.5K |
| Guardrails AI | 7.5k | +139 | 2026-08-26 | — |
| LangKit | 997 | +3 | 2024-11-22 | — |
| agentic-radar | 1.1k | +19 | 2025-11-27 | 5.3K |
| Promptfoo | 25.7k | +1,110 | 2026-10-02 | 3.0M |
| UpTrain | 2.4k | +4 | 2024-07-29 | — |
| langwatch | 4.9k | +275 | 2026-10-02 | 1.9K |
1. LLM Guard
The Security Toolkit for LLM Interactions
Best for: Enterprise teams deploying LLMs in production needing security guardrails; Organizations with strict data leakage prevention requirements; Applications handling sensitive user data through LLM interfaces
2. Guardrails
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
What sets it apart: Only framework offering 5-layer programmable guardrails (input/dialog/retrieval/execution/output) with a dedicated Colang scripting language, backed by NVIDIA
Best for: Enterprise LLM apps needing safety and compliance guardrails; Chatbots requiring strict topic control; RAG pipelines needing retrieval rail filtering
3. Guardrails AI
Adding guardrails to large language models.
What sets it apart: Largest ecosystem of pre-built LLM validators (700+ in Hub) with automatic re-prompting — vs Instructor (structured output only) or NeMo Guardrails (conversational focus)
Best for: Adding safety guardrails to LLM outputs in production; Enforcing structured output from any LLM; Teams needing PII detection, toxicity filtering, or format validation
4. LangKit
Open-source text metrics toolkit for monitoring language models through input and output signals
What sets it apart: Open-source text metrics toolkit for LLM monitoring with built-in security detection (jailbreaks, prompt injection), quality scoring, and whylogs integration
Best for: llm-output-monitoring; detecting-prompt-injection; text-quality-observability
5. agentic-radar
A security scanner for your LLM agentic workflows
What sets it apart: The first dedicated security scanner specifically designed for agentic AI workflows, combining static analysis with runtime adversarial testing and automatic prompt hardening — no other tool maps agent vulnerabilities to OWASP AI security frameworks
Best for: Security teams auditing agentic AI systems before production deployment; DevOps teams integrating AI security scanning into CI/CD pipelines
6. Promptfoo
Open-source CLI and library for evaluating and red-teaming prompts, agents, RAG systems, and LLM apps
What sets it apart: Unlike LangSmith (production observability) or Langfuse (logging), promptfoo is the only open-source tool combining eval + red teaming + CI/CD code scanning — now backed by OpenAI while remaining fully MIT-licensed
Best for: Teams hardening LLM apps against prompt injection and jailbreaks with automated red teaming; Engineering teams adding LLM eval regression tests to CI/CD pipelines
7. UpTrain
Open-source platform to evaluate and improve generative AI applications with 20+ preconfigured evaluations
What sets it apart: vs generic eval tools: 20+ preconfigured evaluations with customizable prompts, few-shot examples, and scenario descriptions — all running locally for data privacy with root cause analysis on failures
Best for: RAG system evaluation and quality assurance; LLM application testing before production deployment; Safety and security testing for prompt injection vulnerabilities
8. langwatch
The platform for LLM evaluations and AI agent testing
What sets it apart: Unified platform combining agent simulation, evaluation, observability, and prompt optimization with OpenTelemetry-native design — vs separate tools for tracing (Langfuse), eval (DeepEval), and prompt management
Best for: Teams wanting eval + observability + prompt management in one tool; Agent simulation testing before production deployment; Organizations needing OpenTelemetry-native LLM observability
FAQ
- What are the best alternatives to Superagent?
- The closest open-source alternatives to Superagent are LLM Guard, Guardrails and Guardrails AI, followed by LangKit, agentic-radar and Promptfoo. They are ranked by how closely they match what Superagent does.
- Which Superagent alternative is the most popular?
- Promptfoo has the most GitHub stars among Superagent alternatives, with 25,665 stars.
- Which Superagent alternative is the most actively maintained?
- By recent activity, langwatch (1,587 commits in the last 90 days) is the most actively developed alternative.