Introducing any-llm: A unified API to access any LLM provider
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2025: The Year of Agents.
2026: The Year of Local Agents?
Relying on cloud-hosted LLMs is often overkill. While frontier models still lead in complex coding, local models are now more than capable of handling many agentic workflows—with zero latency and total privacy.
To help bridge the gap between local inference and usable agents, I’m releasing agent.cpp: https://github.com/mozilla-ai/agent.cpp
It provides minimal, high-performance building blocks for agents in C++, built directly around the awesome llama.cpp ecosystem.
Stop sending your data to a remote API. Start building and running agents on your own hardware.
2026: The Year of Local Agents?
Relying on cloud-hosted LLMs is often overkill. While frontier models still lead in complex coding, local models are now more than capable of handling many agentic workflows—with zero latency and total privacy.
To help bridge the gap between local inference and usable agents, I’m releasing agent.cpp: https://github.com/mozilla-ai/agent.cpp
It provides minimal, high-performance building blocks for agents in C++, built directly around the awesome llama.cpp ecosystem.
Stop sending your data to a remote API. Start building and running agents on your own hardware.
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aittalam
published a model 3 months ago
daavoo
updated a Space 5 months ago
besaleli
updated 2 models 5 months ago
besaleli
published a model 5 months ago
besaleli
updated a model 5 months ago
besaleli
published 2 models 5 months ago
besaleli
updated a model 5 months ago
besaleli
published a model 5 months ago
aittalam
updated a Space 7 months ago
dni138
updated 2 models 7 months ago