Alternatives to Rhesis

PromptLayer is the collaboration layer for AI engineering teams — a prompt CMS, eval harness, and agent observability stack in one dashboard.

LangSmith is agent and LLM observability from the LangChain team: trace, monitor, evaluate, and deploy AI agents.

LangWatch is an open-source LLMOps platform for agent testing, LLM evaluation and OpenTelemetry-native LLM observability.

Open-source Python library that turns vibe checks into reproducible evaluation loops for RAG pipelines and AI agents.

PandaProbe is open-source agent observability that traces runs, evaluates outcomes, and turns failures into validated fixes via its Repair

Open-source LLM observability: trace agents, manage prompts, and run evals on one MIT-licensed platform.

Open-source LLM observability and agent evaluation you can trace, self-host, and eval end to end.

Open source AI engineering platform for agent and LLM tracing, evaluation, prompt management, and ML lifecycle work.

Maxim AI simulates, evaluates and observes AI agents — with Bifrost, its open-source LLM gateway, for routing and guardrails.

Open-source AI evaluation and observability for LLMs, RAG apps, AI agents, and ML models.

Open-source AI agent improvement: trace production runs, detect failures, investigate signals, verify fixes with evals.

Open-source LLM observability, evaluation, and cost tracking for teams shipping agentic AI

Laminar delivers open-source AI agent observability that auto-captures every LLM and tool call and surfaces failures with Signals.

Open-source Python framework that traces every AI agent span and scores runs with benchmarked, explainable LLM judges.

Open-source benchmark that scores AI agents on real, multi-step software-company work tasks.

Open-source React components for rendering AI agent traces, tool calls and reasoning inside your own app.

OpenJudge is an Apache 2.0 open-source AI evaluation framework shipping 50+ benchmark-validated graders for agents, LLMs, code, math, and multimodal models.

Automated QA for voice and chat AI agents — simulate conversations, monitor live calls, and close the loop from failing test to patched prompt.

Galileo turns offline AI evals into production guardrails for agents and RAG pipelines.

Test hundreds of AI agent versions at once with RapidFire AI's parallel optimization engine

Open-source OpenTelemetry tracing, versioning, and sessions for Python LLM apps—bring your own backend.

Chronicle Labs replays your production data to test and validate AI agents before launch.

Agnost AI monitors production AI agents, clusters silent failures, and opens a fix for review.

Open-source toolkit for benchmarking vision-language models across 80+ multimodal tasks, with rankings published on the Open VLM Leaderboard.

Burntop is a FastAPI, React 19 and Postgres full-stack template that keeps coding agents honest with 200+ end-to-end tests.

Spool turns your team's AI agent sessions into a shared, searchable library you can read, publish, and resume.

BALROG is an open ICLR-published benchmark that scores agentic LLM and VLM reasoning across seven procedurally generated games.

Open-source PyTorch toolkit for feature attribution in sequence generation models

Zero-config local dashboard that shows what your OpenClaw agents actually did, what they cost, and whether they leaked secrets

Agent evaluation platform that simulates voice and chat agents, traces production, and scores hallucinations before your customers hit them