I’m sharing Thinker CLI.

You’ve seen me talk about how valuable CLIs are in agent-land already:
– Self-documenting
– Model domain objects and lifecycles
– Model workflows
– Provide fast feedback
– Teach agents incrementally (rather than requiring full usage baked into a skill)
– Run by any shell-using agent
Give an agent a good CLI and it can do _the thing_ even if it doesn’t know how, because _how_ is baked into the CLI.

Thinker CLI brings all these benefits _and it’s super simple_.

Thinker lets anybody define (and share!) a guided, multi-step thought process for your agent in a JSON config file. Agents follows user directions (or automation) to use Thinker with the config file, then Thinker walks them through the multi-turn process in the config file call by call using structured inputs, structured outputs, interpolation into templates, and strict validation. This way work is presented to the agent clearly, incrementally, and validated at each step. The agent can “think through” complicated work, programmed in advance.

I’ve been using this approach – human-guided CoT sequences with structured inputs and outputs – to great effect in my projects for years now. With good design, it _way_ outperforms the generalised reasoning processes built into current models. I’m really happy I can share it in such a simple way.

Used in an agent, you can define steps for searching in memory, saving back into memory, researching online, producing complex artefacts: Thinker CLI allows you to compose any of your agents functionality in linear sequences using natural language.

Links:
– If you want to read more: https://lnkd.in/g3khXusD
– If you want to tell your agent to install: https://lnkd.in/g-SzcWiU
– Example of a coding agent running it: https://lnkd.in/gyDxBNGv (I normally use Thinker with OpenClaw, but this was easier to get logs of. You see how any agent can use it)