Distributed AI/LLM for the people. Share compute privately or publicly to power your agents and chat. - Mesh-LLM/mesh-llm
Mesh-LLM/mesh-llm
Distributed AI/LLM for the people. Share compute privately or publicly to power your agents and chat.
mesh-llm/docs/EXO_COMPARISON.md at 2c334485856b110e9eb3f8e46e4cc3e8993bea1d · Mesh-LLM/mesh-llm
Distributed AI/LLM for the people. Share compute privately or publicly to power your agents and chat. - Mesh-LLM/mesh-llm
Mesh LLM: distributed AI computing on iroh
How Mesh LLM pools existing GPU resources across machines into a single OpenAI-compatible API, built on iroh.
truefoundry/trueforge
The open-source agent harness - the runtime layer that turns an LLM into a working agent.
llama.cpp/tools/server at master · ggml-org/llama.cpp
LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
mods/mesh-tools.ts at d5e940eb6d5b67444f8a8e68ba8c7bdb648601a7 · hollis.pds.garlic.town/letta-mesh
Peer-to-peer cross-agent messaging channel for Letta Code, built on Iroh.
Kenton Varda on Twitter / X
Dynamic Workers are now in Open Beta, all paid Workers users have access.Secure sandboxes that start ~100x faster than a container and use 1/10 the memory, so you can start one up on-demand to handle one AI chat message and then throw it away.Agents should interact with the…— Kenton Varda (@KentonVarda) March 24, 2026
Build agents, not pipelines
There are only two ways to use LLMs in a computer program: as part of a pipeline, or as an agent. In other words, either you express the control flow of the program in code, or you give a LLM tools and allow it to manage the control flow itself1.
open-slopware
Free/Open Source Software choosing to use and/or support LLM usage/AI, as well as alternatives and tips to requesting better policies or forking.
BerriAI/litellm
Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM]
GitHub - humanlayer/12-factor-agents at sidebar
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers? - GitHub - humanlayer/12-factor-agents at sidebar
llama.cpp/docs/build.md at master · ggml-org/llama.cpp
LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
crawshaw - 2026-02-08
I wrote up my experiences programming with LLMs a bit over a year ago, and updated it for the world of agents eight months ago. A lot has changed since then, so here is an update.
Claude on Twitter / X
With self-hosted sandboxes, you can run agents in any environment you control: your own infrastructure, or managed providers like Cloudflare, Daytona, Modal, or Vercel. pic.twitter.com/OELUCt7QRf— Claude (@claudeai) May 19, 2026
llama.app : website + unified `llama` binary · ggml-org llama.cpp · Discussion #23875
Overview We are launching an official website for llama.cpp: https://llama.app/ The main goal of the website is to provide a simple way for new users to install and run llama.cpp on their machines....
Home - NobodyWho
NobodyWho is an inference engine that lets you run LLMs locally on any device
