diff --git a/README.md b/README.md
index d6b645d..db81cee 100644
--- a/README.md
+++ b/README.md
@@ -210,6 +210,13 @@ A GPT-4 powered semantic code search engine that uses an AI agent
- 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)
+
+### Links
+- [GitHub](https://github.com/BloopAI/bloop)
+- ["Getting started" guide](https://bloop.ai/docs/getting-started)
+- [Bloop apps](https://github.com/BloopAI/bloop/releases)
@@ -485,19 +492,19 @@ An open-source autonomous AI framework to enable development and deployment auto
- Open source, but infrastructure is closed-source
- Features
- Provision, Spawn & Deploy Autonomous AI Agents
-- Extend Agent Capabilities with Tools
-- Run Concurrent Agents Seamlessly
-- Graphical User Interface
-- Action Console
-- Multiple Vector DBs
-- Multi-Modal Agents
-- Agent Trajectory Fine-Tuning
-- Performance Telemetry
-- Optimized Token Usage
-- Agent Memory Storage
-- Looping Detection Heuristics
-- Concurrent Agents
-- Resource Manager
+ - Extend Agent Capabilities with Tools
+ - Run Concurrent Agents Seamlessly
+ - Graphical User Interface
+ - Action Console
+ - Multiple Vector DBs
+ - Multi-Modal Agents
+ - Agent Trajectory Fine-Tuning
+ - Performance Telemetry
+ - Optimized Token Usage
+ - Agent Memory Storage
+ - Looping Detection Heuristics
+ - Concurrent Agents
+ - Resource Manager
### Links
@@ -511,7 +518,7 @@ An open-source autonomous AI framework to enable development and deployment auto
## [Teenage AGI](https://github.com/seanpixel/Teenage-AGI/blob/main/README.md#experiments)
-Can recall infinite memory, THINKS before it speaks, and doesn't lose memory after being shutting down
+A BabyAGI-inspired agent that can recall infinite memory, "thinks" before making action, and doesn't lose memory after being shutting down
### Description
@@ -519,7 +526,7 @@ Can recall infinite memory, THINKS before it speaks, and doesn't lose memory aft
- Language: Python
- Uses OpenAI and Pinecone to give memory to an AI agent and also allows it to "think" before making an action (outputting text)
- 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
-- A process that happens every time the AI is queried by the user:**
+- A process that happens every time the AI is queried by the user:
- AI vectorizes the query and stores it in a Pinecone Vector Database
- AI looks inside its memory and finds memories and past queries that are relevant to the current query
- AI thinks about what action to take
@@ -529,7 +536,7 @@ Can recall infinite memory, THINKS before it speaks, and doesn't lose memory aft
### Links
- Created by [@sean_pixel](https://twitter.com/sean_pixel)
-!
+- Inspired by paper ["Generative Agents: Interactive Simulacra of Human Behavior"](https://arxiv.org/abs/2304.03442)
@@ -567,6 +574,29 @@ A multi-agent simulation library, with a goal to simulate and optimize systems a
- 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
+## [Voyager](https://voyager.minedojo.org/)
+A LLM-powered embodied lifelong learning agent in Minecraft
+
+
+### Description
+- A LLM-powered embodied lifelong learning agent in Minecraft that continuously explores the world, acquires diverse skills, and makes novel discoveries without human intervention
+- Voyager consists of three key components:
+ - 1) an automatic curriculum that maximizes exploration
+ - 2) an ever-growing skill library of executable code for storing and retrieving complex behaviors
+ - 3) a new iterative prompting mechanism that incorporates environment feedback, execution errors, and self-verification for program improvement
+- Voyager interacts with GPT-4 via blackbox queries, which bypasses the need for model parameter fine-tuning
+
+
+### Links
+- [GitHub](https://github.com/MineDojo/Voyager)
+- [Paper - Voyager: An Open-Ended Embodied Agent with Large Language Models](https://arxiv.org/abs/2305.16291)
+- [YouTube video](https://www.youtube.com/watch?v=uTg39rNMojo)
+- [Tweet](https://twitter.com/DrJimFan/status/1662115266933972993)
+
+
+
+
+
## [WorkGPT](https://github.com/team-openpm/workgpt)
A GPT agent framework for invoking APIs