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Platform Overview

Overmind is built for teams that already have, or are about to ship, data-backed agents performing specific real-world jobs — for example:

  • a lead qualifier scoring inbound sales inquiries
  • a support triage router classifying and drafting responses
  • a contract clause extractor over long legal documents
  • a clinical coder converting encounter notes into ICD/CPT codes
  • an AP invoice agent making payment decisions with policy and fraud signals
  • an on-call triage agent investigating and routing incidents
  • a returns concierge applying policy and writing customer copy
  • a research-brief multi-agent producing marketing/SEO outputs

If your agent is a chat toy, a single-shot prompt, or a one-off internal demo, Overmind is overkill. If your agent runs against real data, has a defined input/output contract, and you care about regression-safe improvement over weeks and months — that’s what Overmind is built for.

Overmind Optimizer autonomously improves Python agents that run on real, structured data. It runs structured optimization loops and keeps only changes that measurably improve outcomes. It works with any Python agentic framework — LangChain, LlamaIndex, Agno, CrewAI, AutoGen, OpenAI Agents SDK, or plain Python.

The Overmind console showing registered agents with their state, dataset size, analyzer model, and last run time

You drive the full workflow through Agent Skills — slash commands in Cursor or Claude Code. Run overmind init once to install the skills, then use them in your AI chat panel:

/overmind-register-agent path/to/your/agent.py
/overmind-generate-spec-and-dataset my-agent
/overmind-optimize-agent my-agent

What gets optimized:

  • prompts and instructions
  • tool definitions
  • model selection
  • orchestration and control-flow logic
  • policy compliance and edge-case handling

The tracing SDKs for Python and JavaScript/TypeScript instrument your LLM stack and send telemetry to Overmind. Tracing feeds the optimizer and provides visibility into production behavior independently of it.

Private model training on production traces. See Fine-tuning (Beta) for availability and how to get access.