MemGPT
autogen
| MemGPT | autogen | |
|---|---|---|
| 15 | 32 | |
| 9,836 | 25,506 | |
| - | 7.7% | |
| 9.9 | 9.9 | |
| 1 day ago | 5 days ago | |
| Python | Jupyter Notebook | |
| Apache License 2.0 | Creative Commons Attribution 4.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
MemGPT
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AI21 Labs Unveils Jamba: The First Production-Grade Mamba-Based AI Model
On a side note: working over longer contexts also reminds me of MemGPT(https://github.com/cpacker/MemGPT)
- FLaNK Weekly 18 Dec 2023
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At this point we don’t necessarily need higher context windows. We need better truncation.
The MemGPT project is taking on this challenge.
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Putting Together the Pieces of Transformative AI
Long Term Memory - Voyager, MemGPTand LongMem
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[R] MemGPT: Towards LLMs as Operating Systems - UC Berkeley 2023 - Is able to create unbounded/infinite LLM context!
Blog: https://memgpt.ai/
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MemGPT: Towards LLMs as Operating Systems - UC Berkeley 2023 - Is able to create unbounded/infinite LLM context!
Github: https://github.com/cpacker/MemGPT
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MemGPT – LLMs with self-editing memory for unbounded context
Hey all, MemGPT authors here! Happy to answer any questions about the implementation.
If you want to try it out yourself, we have a Discord bot up-and-running on the MemGPT server (https://discord.gg/9GEQrxmVyE) where you can see the memory editing in action - as you chat you'll see MemGPT update its profile about you (and itself).
Everything's open source, so can also try running MemGPT locally using the code here: https://github.com/cpacker/MemGPT. In the repo we also have a document-focused example where you can chat with MemGPT about the LlamaIndex API docs.
- MemGPT — a combination of OS and GPT
autogen
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Agents of Change: Navigating the Rise of AI Agents in 2024
AutoGen is an AI framework by Microsoft designed to streamline multi-agent conversations. AutoGen allows agents to communicate, share information, and make collective decisions. This setup enhances the responsiveness and dynamism of conversations. Developers use AutoGen to tailor agents to specific roles, such as programmer, content writer, CEO, etc. This enhances their ability to handle tasks from simple queries to intricate problem-solving.
- FLaNK AI Weekly 25 March 2025
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Launch HN: Glide (YC W19) – AI-assisted technical design docs
I am still playing around with the project but FYI, the parsing for the github repo URL at https://glide.agenticlabs.com/ will fail if there's a trailing slash in the repo link i.e. https://github.com/microsoft/autogen/ won't work but https://github.com/microsoft/autogen will.
- Show HN: Prompts as (WASM) Programs
- Enable Next-Gen Large Language
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AutoGen v0.2.2 released
New example notebook demoing video transcript translate with whisper.
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AutoGen v0.2.1 released
New release: v0.2.1
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AI is making us all more productive — but in a weird and unexpected way
I disagree with the conclusion. In software, I've seen 10x engineers in person and I don't think they're replaceable. Whereas, the new college grad or that entry level dev who doesn't design anything and just writes small amounts of code, doing exactly as told is replaceable by an AI. Frameworks similar to Microsoft Autogen(https://github.com/microsoft/autogen) can in theory build agents who can do these tasks with ease whereas a 10x engineer can focus on directing the agents and designing systems.
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Our Hacktoberfest Success Story
Microsoft autogen
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AutoGen v0.2.0b4 released
CompressibleAgent (experimental) can be used to handle long conversations. Notebook: https://github.com/microsoft/autogen/blob/main/notebook/agentchat_compression.ipynb
What are some alternatives?
llama.cpp - LLM inference in C/C++
Auto-GPT - An experimental open-source attempt to make GPT-4 fully autonomous. [Moved to: https://github.com/Significant-Gravitas/AutoGPT]
tidybot - TidyBot: Personalized Robot Assistance with Large Language Models
semantic-kernel - Integrate cutting-edge LLM technology quickly and easily into your apps
LongMem - Official implementation of our NeurIPS 2023 paper "Augmenting Language Models with Long-Term Memory".
SuperAGI - <⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
mlx-examples - Examples in the MLX framework
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
Efficient-LLMs-Survey - Efficient Large Language Models: A Survey
AgentVerse - 🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation
FLiPStackWeekly - FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more...
langchain - 🦜🔗 Build context-aware reasoning applications