Fetching from the wire…
OSS2026-09-16 · source-backed
fugleramme reached 1,719 points. A Pi 5 with a mic and a 13.3-inch Inky Impression Spectra 6 panel listens for birdsong, classifies species locally with BirdNET-Go on the Cornell Lab and Chemnitz model, and shows the match. The 800-plus illustrations covering 400-plus species are hand-cut from real public-domain 1800s plates, not generated, and the project says so prominently. In a week of agent launches, the community's top-voted AI project ran a small classifier on local hardware.
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KittenML/KittenTTS (10.4K stars) — Sub-25MB, 15M parameter text-to-speech running on CPU, including Raspberry Pi. Commodity voice synthesis for agents without GPU requirements. When your agent needs to speak, this eliminates the API dependency. SqueezeAILab/CDLM — 14.5x infere...
Released September 3, spanning 294k to 2.2m parameters with 11 voices across 6 languages, claiming 244x smaller than Kokoro. The 1.51m Amy model scores SCOREQ 4.13 against Inflect Nano's 3.81 at 4.63m and KittenTTS's 3.02 at 15m, with about 2% WER through Whisper. On an ESP32...
KittenML released three TTS models on GitHub (432 points, 160 comments on HN — highest point total in today's data) with the smallest under 25MB, enabling full on-device inference without cloud round-trips. Targets mobile and edge where existing TTS models are too large. The v...
27. BakeLens/crust 28. jingkaihe/matchlock 29. anthropics/claude-plugins-official 30. Checkpoints 31. blader/humanizer 32. KittenML/KittenTTS
basecamp/hey-cli is a Go CLI at 318 stars whose repo description is literally "HEY CLI and Agent Skills," tagged with the agent-skills topic, cutting v1.2.0 through v1.4.0 between August 26 and September 2. Small, but it's a mainstream consumer SaaS shipping agent skills as a...
440 stars, created August 11, covering 12 sections from model APIs through structured output, RAG, evals, agent loops, LoRA versus fine-tuning, security, LLMOps and serving, plus three case studies and a capstone (GitHub). The stance is that you write the agent loop, RAG and e...
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