Overmind
Overmind is two things in one package:
- Tracing SDK — drop-in observability for LLM agents. Decorate your code, get structured traces of every LLM call and tool invocation.
- Optimizer client — a thin, agent- and codebase-agnostic executioner. The optimization loop (experiments → iterations → candidates → commands) is configured and driven server-side by the Overmind Console. This repo just registers your machine, leases queued commands, runs them against your repo, and reports results back.
Documentation: Overmind guide
Console: console.overmindlab.ai
Install
uv tool install overmind
# or
pipx install overmind
Tracing
Wire up tracing once at process start, then annotate the functions you want traced:
import overmind
overmind.init(service_name="my-agent", providers=["openai", "anthropic"]) # reads OVERMIND_API_KEY from the environment
@overmind.entry_point()
def run(input_data: dict) -> dict:
return {"response": handle(input_data)}
@overmind.tool()
def search(query: str) -> list[dict]:
...
Available decorators/helpers: entry_point, workflow, tool, function, plus start_span (context manager), set_tag, set_user, and capture_exception for Sentry-style annotations on the current span.
Optimize
Set up and configure the experiment (agent, policy, dataset, iterations) in the Console. Then, from the root of the repo you want optimized:
export OVERMIND_API_KEY=<your-api-key>
overmind optimize
This registers the current machine with the backend and loops forever: it leases queued commands from the experiment you configured in the Console, checks out the iteration's git branch (applying its candidate diff as a commit), runs the shell command against your repo, and reports the result back. Stop it any time with Ctrl-C; re-running is safe and idempotent per iteration branch.
Options / environment variables
| Flag | Env var | Default | Description |
|---|---|---|---|
--api-key |
OVERMIND_API_KEY |
(required) | Sent as X-Api-Key. |
--api-url |
OVERMIND_API_URL |
https://api.overmindlab.ai |
Backend base URL. |
--cwd |
OVERMIND_CWD |
current directory | Repo root to run commands in. |
--poll-interval |
OPTIMIZER_POLL_INTERVAL |
5 |
Idle poll seconds. |
--heartbeat-interval |
OPTIMIZER_HEARTBEAT_INTERVAL |
60 |
Idle "still alive" log interval, seconds. |
--log-level |
OPTIMIZER_LOG_LEVEL |
INFO |
DEBUG/INFO/WARNING/ERROR. |
[!WARNING] The Console can hand this client arbitrary shell to run (
shell=True, guarded only by a per-command timeout). Only point it at a backend you trust.
Skills
Use these from Cursor, Codex, or Claude Code to scaffold agents and configure telemetry without leaving your coding environment.
overmind skills list --verbose
overmind skills sync <skill-name>
| Skill | What it does |
|---|---|
Overmind Register Agent |
Create or register an Overmind agent entrypoint and bootstrap provider config. |
Overmind Generate Agent |
Build an agent from scratch using natural language. |
Overmind Telemetry |
Configure Overmind tracing for your AI project. |
Ponytail |
Review an optimization report and adjust the policy, eval spec, or dataset. |
CLI reference
overmind optimize [OPTIONS] Register this machine and run the optimization loop
overmind skills list [--verbose] List installed/available skills
overmind skills sync <name>... Sync one or more skills to the latest version
Run overmind <command> --help for full flag documentation.
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