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Agents en multi-agents · Open-source-AI-projecten op GitHub

Een feitengebaseerde index van LLM-, agent-, MCP-, RAG- en AI-ontwikkelingsprojecten, met licentie-, installatie-, download- en screenshotinformatie en gerelateerde bronnen voor elke vermelding.

Openbare repositorygegevens

Projectindex

6 Projecten
Schermafbeelding van promptfoo
Agents en multi-agents

promptfoo

promptfoo/promptfoo

An open-source CLI and library for evaluating, testing, and red-teaming LLM applications, RAGs, and agents. It enables side-by-side model comparison and vulnerability scanning with declarative configs and CI/CD integration.

★ 23,9K⑂ 2,2KTypeScript
MITQ98
Agents en multi-agents

Opik: Open-Source LLM Observability, Evaluation and Agent Tracing

comet-ml/opik

Opik is an Apache-2.0-licensed platform for tracing, evaluating, debugging and monitoring LLM applications, RAG systems and multi-step agent workflows. It supports self-hosting, a hosted Comet.com option, client SDKs, a REST API, automated evaluations, prompt experimentation and production dashboards.

★ 21,1K⑂ 1,7KPython
Apache-2.0Q98
Schermafbeelding van BISHENG
Agents en multi-agents

BISHENG

dataelement/bisheng

BISHENG is an open-source LLM application DevOps platform designed for next-generation enterprise AI applications, offering comprehensive features like GenAI workflow orchestration, RAG, Agent management, and enterprise-grade system controls.

★ 11,8K⑂ 1,9KPython
Apache-2.0Q98
Agents en multi-agents

LangWatch

langwatch/langwatch

An open-core platform for evaluating, testing, tracing, and monitoring LLM applications and AI agents before release and in production.

★ 3,5K⑂ 345TypeScript
Apache-2.0Q98
Schermafbeelding van TruLens: Evaluation and Tracking for LLM Experiments and AI Agents
Agents en multi-agents

TruLens: Evaluation and Tracking for LLM Experiments and AI Agents

truera/trulens

TruLens is an open-source, OpenTelemetry-native evaluation and tracking library for LLM applications and AI agents, enabling developers to trace every step, score performance with LLM judges, and compare app versions.

★ 3,5K⑂ 319Python
MITQ98

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