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What it does

ForgeZero is a hardened cross-platform build toolchain for assembly and C developers. It unifies NASM, GAS, FASM, GCC, Clang, LD, and Zig into a single deterministic CLI—no Makefiles required. Version 3.1 “AEGIS” adds native Windows support (no WSL), a hardened Virtual FileSystem, verified file access, secure command execution, atomic writes, constant-time checksum validation, and built-in diagnostics via `fz doctor`.

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  Forge – Guardrails take an 8B model from 53% to 99% on agentic tasksMay 2026 · github.com · ▲687

  Hi HN, I'm Antoine Zambelli, AI Director at Texas Instruments. I built Forge, an open-source reliability layer for self-hosted LLM tool-calling. What it does: - Adds domain-and-tool-agnostic guardrails (retry nudges, step enforcement, error recovery, VRAM-aware context management) to local models running on consumer hardware - Takes an 8B model from ~53% to ~99% on multi-step agentic workflows without changing the model - just the system around it - Ships with an eval harness and interactive dashboard so you can reproduce every number I wanted to run a handful of always-on agentic systems…

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  LZero2024 · ▲161

  DevOps for Web3

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  Artifact Keeper – Open-Source Artifactory/Nexus Alternative in RustFeb 2026 · github.com · ▲166

  I'm a software engineer who keeps getting pulled into DevOps no matter how hard I try to escape it. I recently moved into a Lead DevOps Engineer role writing tooling to automate a lot of the pain away. On my own time outside of work, I built Artifact Keeper — a self-hosted artifact registry that supports 45+ package formats. Security scanning, SSO, replication, WASM plugins — it's all in the MIT-licensed release. No enterprise tier. No feature gates. No surprise invoices. Your package managers — pip, npm, docker, cargo, helm, go, all of them — talk directly to it using their native…

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  Needle: We Distilled Gemini Tool Calling into a 26M Model▲776

  Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…

  Life & fun · May 2026 · github.com

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  Dev tools · May 2026 · github.com