ToolClaude Code5 recent entries15 Jul 2026Line-Anchored Feedback Cuts Token Costs and Improves Correctness in AI Code EditingarXiv:2607.12713v1 Announce Type: cross Abstract: Generated tokens are a direct driver of the cost, latency, and energy of generative AI (GAI) code editing. We show the format of feedback is a lever o→15 Aug 2026Agentic harness for small modelsHello; I'm a semi-beginner at local AI. I've been experimenting with this tech for a while, and I still haven't found a proper harness that fits my models, hardware, and needs. My use case is pretty s→
ToolCursor1 recent entries16 Aug 2026Making small local models actually useful for codingHey! Like a lot of people here with consumer GPUs (RTX 4060 8GB in my case), I wanted to see if I could use local models for daily coding tasks instead of burning cloud credits on simple boilerplate.
ToolOllama8 recent entries26 Jul 2026I built an open-source Ollama canvas where the wires are the actual contextMost graph-based LLM interfaces use a canvas as a visual layer over what is still a linear chat. I wanted the graph itself to determine what Ollama receives. ThoughtDAG has one rule: wires are the con→30 Jul 2026Local-first personal AI agent that runs on Ollama + Telegram — looking for feature ideasI’ve been building ClawLite, an open-source personal AI assistant that talks to you through Telegram and defaults to Ollama (local models). What it does: Multi-agent research with actual cross-source →31 Jul 2026I built a hybrid Transformer–SSM LLM agent with a local CLI, active control, and run receiptsI’m one of the builders of LOLM, a hybrid Transformer–SSM model and agent system from Qira. The model separates surface token processing from persistent latent-state tracking. An NFET controller can s→14 Aug 2026For local-model agents, what architecture checks do you run before granting tool access?Ollama makes it easy to run a model locally, but the hard part for me starts after the model responds: what keeps an agent from having unclear tool permissions, unbounded loops, silent partial failure→16 Aug 2026Making small local models actually useful for codingHey! Like a lot of people here with consumer GPUs (RTX 4060 8GB in my case), I wanted to see if I could use local models for daily coding tasks instead of burning cloud credits on simple boilerplate. →24 Sept 2026Local AI beyond just running the modelI’ve been experimenting with local AI lately, and one thing I’m finding interesting is what comes after getting a model running. Ollama makes local model access pretty straightforward, but for an actu→2 Oct 2026I benchmarked Qwen 3.8 27B on my M4 Max — here's what I learned about local models, context, and coding performanceI've been experimenting with running larger models locally with Ollama, mainly because I'm interested in using them for agentic coding. I kept seeing benchmarks expressed as something like: 40 tokens/→7 Oct 2026Running an open-source agent platform with no third party in the chain: what each piece needs (Ollama/vLLM, local embeddings, local OCR)Disclosure first: I work at Vstorm and I build AgenticOS, an open-source (Apache-2.0), self-hosted platform for building AI agents in a browser. This post was drafted with an LLM's help and edited by
ToolHugging Face3 recent entries1 Aug 2026A collection of small domain-specific benchmarks for local models (30+ and growing)Hello fellow local AI people! I took 'you must create your own benchmarks' literally, and built a website for this. How does the end result look like Let's say I want to know which model has most comm→10 Aug 2026Muse GlimmerMeta's Apache-2.0 30B Muse Glimmer targets local agentic tool use, multi-step coding, and vision, sized to leave headroom on 32GB machines.→15 Aug 2026Agentic harness for small modelsHello; I'm a semi-beginner at local AI. I've been experimenting with this tech for a while, and I still haven't found a proper harness that fits my models, hardware, and needs. My use case is pretty s