Alternatives to Respan

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

Helicone is an AI gateway and LLM observability platform that routes, caches, and logs traffic across 100+ model providers.

LangChain's open agent frameworks plus LangSmith — tracing, evals, deployment, sandboxes and an LLM gateway for agents in production.

Braintrust traces agent runs, scores them with evals, and surfaces production failure patterns before they ship.

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

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

LangWatch Scenario simulates text and voice users against your AI agent, scoring every turn before production does.

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

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

Athina is a shared workspace where your team writes prompts, runs evals, annotates datasets, and traces LLM calls in production.

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

Raindrop traces, detects, and simulates fixes for silent AI agent failures in production before they reach your users.

Lemma audits every AI agent trace against your agent's own instructions to catch silent failures in production.

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

Co-trains your agent harness and model policy together on production traces, simulations, and RL.

Comet's Opik brings LLM observability and evaluation that turns agent traces into code fixes

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

Retrace records every AI agent run, forks the failing step, and replays it to prove your fix before you ship.

Synth is a research workbench and hosted compute for optimizing coding agents with reproducible, evidence-backed evals.

Edgee Team token observability puts every coding agent on a budget you set, with per-repo and per-PR attribution.

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.

Sharbo builds a skill network for AI agents — encode expert workflows once and let every agent activate them autonomously.

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

Build custom RL environments in code and run agent evaluations with trace QA on every run

Slack-native continuous improvement for production AI agents: triage failures, isolate root causes, validate fixes before you ship.

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

AI quality workspace for LLM evaluation, production observability, red teaming, and governance

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

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