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Maximilian-Winter/llama-cpp-agent

The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured output. Works also with models not fine-tuned to JSON output and function calls.

Latest metrics (snapshot 2026-10-15)

stars659
forks75
issues25
pushed_at2026-03-09T05:57:48Z

History

History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.

DateGitHub stars
2026-10-15659

ADC Momentum: 16/100

ADC Momentum 16 Leaderboard

Growth velocity26
Consistency21
Recency0
Agent demand0
Basisbootstrap

ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method

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Details

descriptionThe llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured output. Works also with models not fine-tuned to JSON output and function calls.
urlhttps://github.com/Maximilian-Winter/llama-cpp-agent
languagePython
licenseNOASSERTION
topicsagents
function-calling
llamacpp
llm
llm-agent
llm-framework
llms
parallel-function-call
created_at2023-12-29T16:54:39Z

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