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Colibri Alternatives
Similar projects and alternatives to colibri
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deer-flow
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
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koodo-reader
Discontinued A modern ebook manager and reader with sync and backup capacities for Windows, macOS, Linux and Web [Moved to: https://github.com/koodo-reader/koodo-reader] (by troyeguo)
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open-infra-index
Production-tested AI infrastructure tools for efficient AGI development and community-driven innovation
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self_improving_agents
Close the loop on LLM agent development by configuring them to improve themselves using telemetry and evaluations
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fastllm
fastllm是后端无依赖的高性能大模型推理库。同时支持张量并行推理稠密模型和混合模式推理MOE模型,任意10G以上显卡即可推理满血DeepSeek。双路9004/9005服务器+单显卡部署DeepSeek满血满精度原版模型,单并发20tps;INT4量化模型单并发30tps,多并发可达60+。
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blaze
The ultra high-performance C++ JSON Schema validator, providing validation even down to the nano-second range (depends on schemas and hardware) along with perfect compliance scores. Supports Draft 4, Draft 6, Draft 7, 2019-09 and 2020-12. For both servers and embedded devices (by sourcemeta)
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colibri-hy3
Run Hy3 on a 10GB-RAM consumer machine — pure C, zero deps, experts streamed from disk. Tiny engine, immense model. 🐦
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mbolt
Profile-guided layout optimization for llama.cpp GGUF MoE models — BOLT/PGO for LLM weights. Trace expert routing, rewrite the file so co-activated experts sit together, prefetch as merged reads.
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colibri discussion
colibri reviews and mentions
- Call for probes: building the GLM-5.2 Expert Atlas
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Take your benchmark to the people who can kill it
That null dictated the launch strategy, although I didn't think of it as strategy at the time. The people who run explicit-read expert streamers are countable. Instead of posting a Show HN, I took the data to their issue trackers: ml-explore/mlx-lm#1438, where @mabaeyens was shipping an expert-offload streamer for MLX, and JustVugg/colibri#119, a C engine that streams a 744B model from NVMe. Opening line: sharing data because your engine is the natural home for a layout pass — and one of my findings says the audience for this is you, specifically.
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Who's Afraid of Chinese Models?
Already is possible. On a machine with 32GB ram, and NO gpu. Just need a large SSD or NVME. Streams from disk to memory.
https://github.com/JustVugg/colibri
- Colibri: Running a 744B AI Model on Your Laptop
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Running Gemma 4 26B at 5 tokens/SEC on a 13-year-old Xeon with no GPU
If you’re interested in these projects you should check out the project this was based on: https://github.com/JustVugg/colibri
It says so right in the readme. They’re not hiding anything.
- Colibri — รัน GLM-5.2 (744B MoE) บนเครื่อง 25GB RAM ด้วย Pure C ไฟล์เดียว
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Getting GLM 5.2 running on my slow computer
The page has an SSD wear warning [0] I use desktop PCs that I build from components so I can replace the SSD, but what do users with soldered SSD do? Just avoid these applications or forge ahead disregarding the possible early burnout of their storage?
[0] https://github.com/JustVugg/colibri#ssd-wear-warning
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A note from our sponsor - SaaSHub
www.saashub.com | 19 Aug 2026
Stats
JustVugg/colibri is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of colibri is C.