A list of related tools, to compare.
https://github.com/PromtEngineer/localGPT
Open source tools from Awesome AI Agents
🐣 Your own junior developer. Deployed in few seconds via e2b
- Human-centric, coherent whole program synthesis
- Your own junior developer
- Allows to develop, debug, and decompile
- 200 LOC, half english
- 100k context can summarize both content and codebases
- Markdown is the best prompting DSL
- Copy and paste your errors as prompts
- Copy and paste curl output as prompts
- Write CSS animation by describing what u want
- GPT4 >>> GPT3.5/Anthropic Claude for codegen
Pretty much the same idea but with a command line chat.
An AI agent that generates an entire codebase based on a prompt
- Model: GPT 4
- Specify your project, and the AI agent asks for clarification, and then constructs the entire code base
- Features
- Made to be easy to adapt, extend, and make your agent learn how you want your code to look. It generates an entire codebase based on a prompt
- You can specify the "identity" of the AI agent by editing the files in the identity folder
- Editing the identity and evolving the main prompt is currently how you make the agent remember things between projects
- Each step in steps.py will have its communication history with GPT4 stored in the logs folder, and can be rerun with scripts/rerun_edited_message_logs.py
An AI code assistant from Sourcegraph that writes code and answers questions for you by reading your entire codebase and the code graph.
- GitHub
- Author: @sourcegraph (Twitter)
A GPT-4 powered semantic code search engine that uses an AI agent
- Powered by GPT-4 and semantic code search, precise code navigation
- Built on stack graphs and scope queries
- Fast code search and regex matching engine written in Rust
- Allows to find Code on Rust and Typescript
- Allows to stage changes
- The agent searches both your local and remote repositories with natural language, regex and filtered queries
- Bloop can be run via app (easy to download via GitHub)
A GPT agent framework for invoking APIs
- WorkGPT is an agent framework in a similar fashion to AutoGPT or LangChain. You give it a directive and an array of APIs and it will converse back and forth with the AI until its directive is complete.
- For example, a directive could be to research the web for something, to crawl a website, or to order you an Uber. We support any and all APIs that can be represented with an OpenAPI file.
- WorkGPT now has OpenAI's new function invocation feature baked into it
- While chaining together APIs was possible before (see AutoGPT), it was slow, expensive, and error prone
- The tweet announcing this feature
- Author: Alex MacCaw
AI-generated pull requests to fix issues, powered by ChatGPT
- Triggered by adding a label containing AutoPR to an issue, AutoPR will:
- Plan a fix
- Write the code
- Push a branch
- Open a pull request