agentc

Version, currently main branch1 version
  • main branchlatestApr 2, 2024

github.com/crimson-knight/AgentC

A CLI powered agent that uses llama.cpp on your system to run models that are gguf

10 stars
0 dependents
License: MIT

Installation

# Add this to your shard.yml
dependencies:
  agentc:
    github: crimson-knight/AgentC
    branch: main

main is a branch, not a release, so this tracks it rather than pinning a version.

Then run:

shards install

shard.yml

Crystal
1.8.2
License
MIT
Author
crimson-knight <me@seesethcode.com>
Target
  • agentc from src/agentc.cr

Dependencies

Runtime Dependencies

  • openai*github: lancecarlson/openai.cr

README

# What is AgentC?

Inspired by Auto-GPT and BabyAGI, this is a cli tool that acts as an "agent" for LLMs and allows for longer term memory. I found the other tools not to be that great and I don't enjoy the python language nearly as much as I do the Crystal language, so here is my version!

This tool does a few things (in my opinion) better:

[x] Saves your primary agent configuration into a ~/.agentc folder instead of using the app folder
[x] Saves your goals using local storage under the same ~/.agentc folder
[x] Refines goals so that they can be worked.
[] Creates plans for goals
[] Add Pinecone client
[] All of the standard capabilities are working
[] All default features are tested


## Installation

`git clone` the repo and run `crystal run src/agentc.cr`
## Usage

Currently in development, so unless you're contributing I don't recommend trying this tool out.

## Development

To Do:

[] Everything 😉

## Contributing

1. Fork it (<https://github.com/your-github-user/agentc/fork>)
2. Create your feature branch (`git checkout -b my-new-feature`)
3. Commit your changes (`git commit -am 'Add some feature'`)
4. Push to the branch (`git push origin my-new-feature`)
5. Create a new Pull Request

## Contributors

- [crimson-knight](https://github.com/crimson-knight) - creator and maintainer