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Your Agentic AI engineer that optimizes agents on a loop

Mutagent analyzes traces to diagnose failures, derive evals, implement guardrails and fix issues automatically.

Integrates with every observability platform and agent framework

Vercel AI SDK
OpenAI
LangChain
LangGraph
Mastra
Langfuse
LangSmith
Braintrust
Phoenix
Datadog
Claude Code
Cursor
Codex
OpenCode
Vercel AI SDK
OpenAI
LangChain
LangGraph
Mastra
Langfuse
LangSmith
Braintrust
Phoenix
Datadog
Claude Code
Cursor
Codex
OpenCode
Why Mutagent

Build self-improving agents with Mutagent

Build agents from any context

  • Auto-generates a buildable spec from your context
  • Scaffolds the agent and its eval suite together
  • A signed spec you review before anything is built
See the Build agentOpen Agent Spec

Build eval coverage you can trust

  • Datasets and evals derived from your real production traces
  • LLM-as-a-judge calibrated to your experts, so scores stop drifting
  • Coverage that grows with every new failure found
See the Evaluate agent

Diagnose why your agents fail

  • Reads your production traces and root-causes every failure, automatically
  • Turns each failure into a fix, an eval, or a guardrail
  • Raised as a PR you review, never a black box
See the Diagnose agent

Goal based, eval driven optimization loops

  • Set a goal and optimize against your eval suite
  • Each round diagnoses, fixes, verifies, and re-scores against the goal
  • Only real improvements ship, and you approve every one
See the Optimize agent

Connect any tracing source and generate in every framework

Sources in
Datadog
Langfuse
Phoenix
Braintrust
Claude Code
Codex
OpenTelemetry
{ }Raw JSONL
+Any other provider
MUTAGENTruns on any coding agent
Claude CodeCodexCursorHermes
Targets out
DeepAgents
Mastra
Vercel AI SDK
PydanticAI
Claude
Codex
Hermes
✦Skills
Cloud Platform
Clera

Diagnosed in a real production agent

A cost teardown of Clera’s outreach agent, and the one fix that reversed it.

254,265
production traces analyzed
60%
of agent spend was rework
$14,000
saved per year, from one fix
Read the Clera case study

Runs locally. You keep your data.

The agents run where your code already lives, not on our servers.

Runs in your coding agent

Runs locally, embedded in the coding agent you already use. No new runtime to adopt.

Your data never leaves your machine

Your traces, prompts, and datasets stay on your infrastructure. Nothing is sent to us.

No lock-in

Your model, your frameworks, leave whenever. OpenAI, Claude, LangChain, Mastra, your own stack.

FAQ

Those tools observe and score. Mutagent is a team of agents that act on what observability shows: Spec, Build, Diagnose, Benchmark, Optimize, Validate, Deploy, Watch. Keep Langfuse or LangSmith for production telemetry. Run Mutagent agents à la carte, or let the full lifecycle run end to end. Same flexibility for your stack, your models, your workflows.

DSPy and GEPA are search algorithms. Mutagent is a team of agents you run alongside the rest of your stack. Each agent owns a phase of the lifecycle, and each can be invoked on its own, chained, or swapped. Bring your own optimizer if you want one. The point is a coordinated team that covers the full lifecycle, not adopting one fixed pipeline.

Full CLI access. Integrate, Bootstrap, Analyze, and Optimize on up to 3 prompts. Bring your own model. No credit card required.

Agent runtime is not yet available. Multi-agent optimization is in design partnership now. Self-host ships Q3 2026. Everything else is live.

Discord for community, founder calendar for a direct call, docs.mutagent.io for reference. We answer in hours, not days.

Start optimizing your agents
on a loop

Free to install, runs in your coding agent. Point Mutagent at your traces and ship your first validated fix today. Bring your own model, no credit card.