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Show HN: LocalGPT – A local-first AI assistant in Rust with persistent memory

https://github.com/localgpt-app/localgpt
240•yi_wang•9h ago•116 comments

Show HN: Elysia JIT "Compiler", why it's one of the fastest JavaScript framework

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115•momciloo•17h ago•24 comments

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Show HN: A luma dependent chroma compression algorithm (image compression)

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52•mbitsnbites•4d ago•7 comments

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https://kybera.xyz
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https://eljojo.github.io/rememory/
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Show HN: I spent 4 years building a UI design tool with only the features I use

https://vecti.com
379•vecti•1d ago•174 comments

Show HN: A2A Protocol – Infrastructure for an Agent-to-Agent Economy

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Show HN: Solnix – an early-stage experimental programming language

https://www.solnix-lang.org/
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https://getscripta.app
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https://github.com/phreda4/r3
88•phreda4•1d ago•17 comments

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https://github.com/artifact-keeper
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https://github.com/rivet-dev/sandbox-agent/tree/main/gigacode
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https://github.com/vkazanov/elcity
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https://github.com/ujjwalredd/Axiomeer
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Show HN: Witnessd – Prove human authorship via hardware-bound jitter seals

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2•davidcondrey•12h ago•2 comments
Open in hackernews

Show HN: GraphFlow – A lightweight Rust framework for multi-agent orchestration

https://github.com/a-agmon/rs-graph-llm
10•alonagmon•7mo ago
It all started with a conversation among friends about limitations in current multi-agent orchestration frameworks. We faced issues like limited control over agent memory and state, complicated persistence, scaling problems, and lack of type safety in Python-based tools. These challenges inspired us to try something different. The result was GraphFlow, a Rust-based lean framework for orchestrating multi-agent workflows that's simple, scalable, and robust. Its key features include: Graph-based orchestration: Easily define workflows using nodes and edges. Lean Execution Engine: A minimal and efficient graph executor / state machine implementation. Clear Memory Management: Direct and transparent handling of agent states. Simple DB Schema: Easy-to-understand schema for persistence and state tracking. High Performance: Native Rust performance with low overhead and easy scaling. Type Safety: Rust's type system reduces runtime errors. GraphFlow is open-source ofc and aims to solve real-world problems we've experienced firsthand. We'd love your feedback!

Comments

0rzech•7mo ago
Great initiative!

A quick web search revealed at least 4 other agent orchestration frameworks written in Rust [1][2][3][4]. Just being curious: did you decide against contributing to existing ones for some reason?

[1] https://github.com/kevin-rs/autogpt

[2] https://github.com/The-Swarm-Corporation/swarms-rs

[3] https://github.com/M4n5ter/rigs

[4] https://crates.io/crates/kowalski (for some reason GitHub link gives 404 and seems to be Ollama-only anyways)

alonagmon•7mo ago
Thanks for the comment! Yes, the idea was to create something much leaner and simpler that is not tightly coupled to any framework, yet provides robust graph execution capabilities. In fact, for this reason, GraphFlow can server as a graph execution framework for Rust application that are not AI oriented at all.
0rzech•7mo ago
Thank you for your reply! I sympathize with this reasoning, and I wish you all the best in your endeavour! :)