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add content, fixed minor things
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36
README.md
36
README.md
@@ -210,6 +210,13 @@ A GPT-4 powered semantic code search engine that uses an AI agent
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- Fast code search and regex matching engine written in Rust
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- Fast code search and regex matching engine written in Rust
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- Allows to find Code on Rust and Typescript
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- Allows to find Code on Rust and Typescript
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- Allows to stage changes
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- Allows to stage changes
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- The agent searches both your local and remote repositories with natural language, regex and filtered queries
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- Bloop can be run via app (easy to download via GitHub)
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### Links
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- [GitHub](https://github.com/BloopAI/bloop)
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- ["Getting started" guide](https://bloop.ai/docs/getting-started)
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- [Bloop apps](https://github.com/BloopAI/bloop/releases)
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</details>
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</details>
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@@ -511,7 +518,7 @@ An open-source autonomous AI framework to enable development and deployment auto
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## [Teenage AGI](https://github.com/seanpixel/Teenage-AGI/blob/main/README.md#experiments)
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## [Teenage AGI](https://github.com/seanpixel/Teenage-AGI/blob/main/README.md#experiments)
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Can recall infinite memory, THINKS before it speaks, and doesn't lose memory after being shutting down
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A BabyAGI-inspired agent that can recall infinite memory, "thinks" before making action, and doesn't lose memory after being shutting down
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<details>
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<details>
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### Description
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### Description
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@@ -519,7 +526,7 @@ Can recall infinite memory, THINKS before it speaks, and doesn't lose memory aft
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- Language: Python
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- Language: Python
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- Uses OpenAI and Pinecone to give memory to an AI agent and also allows it to "think" before making an action (outputting text)
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- Uses OpenAI and Pinecone to give memory to an AI agent and also allows it to "think" before making an action (outputting text)
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- Also, just by shutting down the AI, it doesn't forget its memories since it lives on Pinecone and its memory_counter saves the index that it's on
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- Also, just by shutting down the AI, it doesn't forget its memories since it lives on Pinecone and its memory_counter saves the index that it's on
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- A process that happens every time the AI is queried by the user:**
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- A process that happens every time the AI is queried by the user:
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- AI vectorizes the query and stores it in a Pinecone Vector Database
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- AI vectorizes the query and stores it in a Pinecone Vector Database
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- AI looks inside its memory and finds memories and past queries that are relevant to the current query
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- AI looks inside its memory and finds memories and past queries that are relevant to the current query
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- AI thinks about what action to take
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- AI thinks about what action to take
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@@ -529,7 +536,7 @@ Can recall infinite memory, THINKS before it speaks, and doesn't lose memory aft
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### Links
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### Links
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- Created by [@sean_pixel](https://twitter.com/sean_pixel)
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- Created by [@sean_pixel](https://twitter.com/sean_pixel)
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!
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- Inspired by paper ["Generative Agents: Interactive Simulacra of Human Behavior"](https://arxiv.org/abs/2304.03442)
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</details>
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</details>
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@@ -567,6 +574,29 @@ A multi-agent simulation library, with a goal to simulate and optimize systems a
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- Presenting an architecture that extends a language model to store and synthesize the agent's experiences, enabling dynamic behavior planning in an interactive sandbox environment with generative agents
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- Presenting an architecture that extends a language model to store and synthesize the agent's experiences, enabling dynamic behavior planning in an interactive sandbox environment with generative agents
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</details>
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</details>
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## [Voyager](https://voyager.minedojo.org/)
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A LLM-powered embodied lifelong learning agent in Minecraft
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<details>
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### Description
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- A LLM-powered embodied lifelong learning agent in Minecraft that continuously explores the world, acquires diverse skills, and makes novel discoveries without human intervention
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- Voyager consists of three key components:
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- 1) an automatic curriculum that maximizes exploration
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- 2) an ever-growing skill library of executable code for storing and retrieving complex behaviors
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- 3) a new iterative prompting mechanism that incorporates environment feedback, execution errors, and self-verification for program improvement
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- Voyager interacts with GPT-4 via blackbox queries, which bypasses the need for model parameter fine-tuning
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### Links
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- [GitHub](https://github.com/MineDojo/Voyager)
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- [Paper - Voyager: An Open-Ended Embodied Agent with Large Language Models](https://arxiv.org/abs/2305.16291)
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- [YouTube video](https://www.youtube.com/watch?v=uTg39rNMojo)
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- [Tweet](https://twitter.com/DrJimFan/status/1662115266933972993)
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</details>
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## [WorkGPT](https://github.com/team-openpm/workgpt)
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## [WorkGPT](https://github.com/team-openpm/workgpt)
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A GPT agent framework for invoking APIs
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A GPT agent framework for invoking APIs
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<details>
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<details>
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