Claude Code burns 4.7x more tokens before your prompt starts — and a llama.cpp agentic memory leak just got fixed.
Top Signal
Claude Code sends 33k tokens per session vs OpenCode's 7k
platform change
HN Front Page
Systima ran a controlled measurement: Claude Code front-loads ~33,000 tokens (shell environment, git state, project structure, tool definitions) before reading a single line of your prompt. OpenCode defers that context and starts at ~7,000 tokens. That's a 4.7x overhead multiplier on every session start — compounding across long agentic loops or high-volume runs. If you're hitting Claude Max limits or paying API rates, this is a structural cost difference, not noise. Concrete options: switch to OpenCode for local or API-backed agentic work; if staying on Claude Code, audit your CLAUDE.md and project context to trim what gets loaded; or architect multi-agent loops to batch work per session rather than spinning up fresh contexts. The article includes raw token logs.
Read more →
Fast Signals
llama.cpp b9978 fixes silent memory explosion in agentic workloads
platform change
r/LocalLLaMA
Every agent turn was creating a new KV cache checkpoint, causing unbounded memory growth on long multi-turn runs. b9978 fixes the checkpoint accumulation bug. If you're running agentic llama.cpp pipelines and hitting OOM errors or degraded throughput mid-session, update immediately.
Link →
Zer0Fit wraps Google TabFM & TimesFM as a fully local MCP server
new tool
r/LocalLLaMA
Google's TabFM (tabular foundation model) and TimesFM (time-series forecasting) are now accessible via MCP, 100% local, with zero-shot forecasting, classification, and regression — no API calls, no fine-tuning. Bookmark this for any product that needs structured data prediction and currently ships to an external ML service.
Link →
Mindwalk replays coding-agent sessions on a 3D codebase map
new tool
HN Show
Open-source tool that records agent file-access and edit sequences, then replays them as a navigable 3D graph of your codebase. Useful for auditing what an agent actually touched vs what it claimed to touch — critical for debugging runaway context or unintended edits. 145 HN points.
Link →
Interactive Jacobian-Lens visualizer now works on any GGUF model in llama.cpp
research to practice
r/LocalLLaMA
Live J-space visualizer and steerer — lets you watch internal model reasoning (the silent workspace Anthropic published on) in real time and steer it interactively. Separate posts today validated it on Qwen3-8B and Qwen3-4B across 7 hallucination datasets. The tooling is maturing fast; this is now a practical interpretability layer for local models, not just a research curiosity.
Link →
Moondream3.1-9B-A2B: 9B vision MoE with only 2B active params
new tool
r/LocalLLaMA
New moondream release uses a sparse MoE architecture — 9B total parameters but only 2B activate per inference, bringing memory footprint down to near-2B levels with 9B-class vision capability. Relevant if you're building multimodal pipelines on constrained hardware.
Link →
Run 4+ parallel OpenCode agents to unlock ~2x local throughput
workflow
r/LocalLLaMA
Benchmark on RTX 5090 with Qwen3.6-35B in LM Studio: single-agent use leaves ~50% of GPU throughput idle. Four parallel agents fully saturate the hardware. If you're running multi-file coding tasks locally, parallelizing agents isn't just a speed trick — it's leaving real capacity on the table if you don't.
Link →
Reame: CPU inference server that self-optimizes as it runs
new tool
HN Show
Self-described as 'gets faster as it runs' — uses progressive KV cache and batch optimization to improve throughput over the lifetime of the server process. No GPU required. Early project but addresses a real gap in CPU-only deployment scenarios for edge inference.
Link →
Radar
Voodoo Quant beats Unsloth Dynamic 2.0 by 95% KLD on Qwen3.5 small models
New quantization approach outperforms the current best-in-class (Unsloth Dynamic 2.0) on KL-divergence for 0.8B and 2B models. Small-model quant quality improvements matter for edge and on-device inference; worth following as it gets tested on larger models.
Link →
P100 llama.cpp CUDA fix ships in turboquant v0.3.0
The P100's strict FP64 compliance was causing silent numerical errors in llama.cpp CUDA paths for years; three-line fix now shipped. Relevant if you're running workloads on cheap P100s from cloud spot markets (~$80 on secondary market).
Link →
Local image-to-3D: <2GB RAM, <20s, Apple Silicon + iPhone
Someone got a full image-to-3D pipeline running locally on Apple Silicon and iPhone at under 2GB RAM and 20 seconds. No details yet on the model stack, but if the constraints hold up under scrutiny this opens 3D asset generation as a local on-device capability.
Link →
Math.tanh is now OS-fingerprintable in Chromium 148+
Due to divergent FP math implementations, `Math.tanh` results differ enough across OSes to fingerprint Windows vs macOS vs Linux in headless browsers. Directly affects agents that use headless Chrome for web scraping or bot-detection evasion testing.
Link →
Convergence Watch
jacobian-lens j-space
TRENDING
3 mentions across r/LocalLLaMA, r/LocalLLaMA, r/LocalLLaMA
Three independent posts today applied Anthropic's J-space / Jacobian-Lens interpretability method to open models (Qwen3-8B, Qwen3-4B), plus an interactive GGUF visualizer shipped. This moved from a single-lab research paper to an active open-source toolchain in under a week. Hallucination detection via internal entropy is approaching practical usability.
qwen 3.6 27b
4 mentions across r/LocalLLaMA
Still the dominant local coding model in community discussion — tool-call failure workarounds, parallel agent configs, and hardware upgrade paths all centered on it today. The model is entrenched as the reference point but tool-call reliability at scale remains the persistent pain point.
tencent hy3
TRENDING
2 mentions across r/LocalLLaMA, HN Front Page
Five consecutive days of cross-source mentions. Not prominent in today's feed but sustained presence across HN and r/LocalLLaMA signals ongoing community evaluation. No major new development today — monitor for quantization or benchmark updates.
STALE: Latent Space newest item is >48h old