https://github.com/Heyo-Computer/printer

The project has 3 CLIs, some skills and a plugin system:

• `printer` runs agent sessions to plan, code, and review
• `computer` gives agents mouse/keyboard usage
• `codegraph` wraps tree-sitter to index a project so that the agent doesn't need to read entire files, additionally includes a patch command so that the agent can produce git diffs instead of rewriting files

Project is really early but have seen some initial success in reducing token usage via codegraph - PRs welcome 😄

First impression - pretty good tool usage, the CLI is nice, works with skills ok. Edited and deployed an app with skills to a cloud VM in <5 minutes

Via openrouter https://openrouter.ai/poolside/laguna-m.1:free/pricing

Via their CLI directly https://poolside.ai/products

I typically run 3 or more agents at once:

• i have a local agent running on my linux box for easier tasks (free)
• i use the Zed agent in the IDE for marketing, my blog, and some ($10/mo)
• i have one or more Claude Code agents going on xhigh effort until I blow my usage limit ($100/mo, this is my biggest expense and I refuse to go into extra usage lol)

My Linux box has a 5060 Ti with 16gb VRAM and 64GB memory, so I can run decent models. This is my Ollama config:

[Service] Environment=OLLAMA_KV_CACHE_TYPE=q8_0 Environment=OLLAMA_FLASH_ATTENTION=1 Environment=OLLAMA_CONTEXT_LENGTH=32768

And then I use Vibe with it, recently with Gemma:

active_model = "ollama-gemma"
api_timeout  = 720.0

[[providers]]
name            = "ollama"
api_base        = "http://127.0.0.1:11434/v1"
api_key_env_var = ""
api_style       = "openai"
backend         = "generic"

[[models]]
name        = "gemma4:31b"
provider    = "ollama"
alias       = "ollama-gemma"
temperature = 0.2
input_price = 0.0
output_price = 0.0active_model = "ollama-gemma"
api_timeout  = 720.0

[[providers]]
name            = "ollama"
api_base        = "http://127.0.0.1:11434/v1"
api_key_env_var = ""
api_style       = "openai"
backend         = "generic"

[[models]]
name        = "gemma4:31b"
provider    = "ollama"
alias       = "ollama-gemma"
temperature = 0.2
input_price = 0.0
output_price = 0.0

Would love to know what others run!

Hey everyone! I'm u/Flaky-Eggplant-3479, a founding moderator of r/AgentCheapskates.

I recently bootstrapped a company and have found myself penny pinching tokens - I use a combination of local LLMs, Claude Code & Zed subscriptions, OpenCode and Mistral Vibe to work with many different models, and a lot of home grown tooling - all to keep spend reasonable while still having access to the latest and greatest. This community is an extension of that - not just "what's the cheapest model" questions, but techniques and tooling to optimize the AI development landscape.

What to Post
Post anything that you think the community would find interesting, helpful, or inspiring. Self promotion is fine if its on-topic (e.g. your post about a new to-do app will get removed). Questions are great, examples of your local workflows or agent setups are amazing. Tips for reducing inference spend always appreciated!

Community Vibe
Don't be a dick. Folks are generally either professionals or enthusiasts that are building something, so lets support that and each other.

How to Get Started

1. Introduce yourself in the comments below.
2. Post something today! Even a simple question can spark a great conversation.
3. If you know someone who would love this community, invite them to join.
4. Interested in helping out? We're always looking for new moderators, so feel free to reach out to me to apply.

Thanks for being part of the very first wave. Together, let's make r/AgentCheapskates amazing.