{"data":{"slug":"kaito-project-aikit","name":"aikit","tagline":"Fine-tune, build, and deploy open-source LLMs easily!","github_url":"https://github.com/kaito-project/aikit","owner":"kaito-project","repo":"aikit","owner_avatar_url":"https://avatars.githubusercontent.com/u/186863079?v=4","primary_language":"Go","stars":539,"forks":57,"topics":["ai","buildkit","chatgpt","docker","fine-tuning","finetuning","gemma","gpt","inference","kubernetes","large-language-models","llama","llm","localllama","mistral","mixtral","nvidia","open-llm","open-source-llm","openai"],"archived":false,"github_pushed_at":"2026-09-18T22:43:05+00:00","maintenance_label":"Very active","stars_delta_30d":5,"url":"https://www.graphcanon.com/tools/kaito-project-aikit","markdown_url":"https://www.graphcanon.com/tools/kaito-project-aikit.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/kaito-project-aikit","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=kaito-project-aikit","description":"🏗️ Fine-tune, build, and deploy open-source LLMs easily!","homepage_url":"https://kaito-project.github.io/aikit/","license":"MIT","open_issues":37,"watchers":8,"ai_summary":"Aikit is a toolkit for working with large language models, providing capabilities for fine-tuning, building and deploying open-source LLMS.","readme_excerpt":"## Quick Start\n\nYou can get started with AIKit quickly on your local machine without a GPU!\n\n```bash\ndocker run -d --rm -p 8080:8080 ghcr.io/kaito-project/aikit/llama3.1:8b\n```\n\nAfter running this, navigate to [http://localhost:8080/chat](http://localhost:8080/chat) to access the WebUI!","github_created_at":"2023-09-20T02:31:11+00:00","created_at":"2026-07-11T11:41:01.161491+00:00","updated_at":"2026-09-20T06:31:17.240471+00:00","categories":[{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"ai","name":"ai"},{"slug":"buildkit","name":"buildkit"},{"slug":"chatgpt","name":"chatgpt"},{"slug":"docker","name":"docker"},{"slug":"fine-tuning","name":"fine-tuning"},{"slug":"finetuning","name":"finetuning"},{"slug":"gemma","name":"gemma"},{"slug":"gpt","name":"gpt"}],"trust":{"provenance":{"is_fork":false,"github_id":693936906,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-19T18:27:20.285Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":2,"days_since_push":0,"last_release_at":"2026-09-18T22:13:35Z","stars_delta_30d":5,"open_issues_delta_30d":-6},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:41:02.575Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-19T18:27:21.349Z"},"deploy":{"source":"dockerfile:Dockerfile","self_host":true,"observed_at":"2026-09-19T18:27:21.349Z","managed_saas":false},"languages":{"value":["go"],"source":"github.language","observed_at":"2026-09-19T18:27:21.349Z"},"has_docker":{"value":true,"source":"dockerfile:Dockerfile","observed_at":"2026-09-19T18:27:21.349Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-09-19T18:27:21.349Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["- You need a flexible solution specifically built using Go and prefer its concurrency model.","- Your project requires integration with Kubernetes and Docker environments for managing containerized LLM services, as Aikit supports these natively."],"when_not_to_use":["- You have a preference or requirement for Python-based tools due to the lack of native support in Aikit.","- If your deployment setup strictly uses cloud-specific platforms and you do not use Kubernetes or Docker, as Aikit heavily integrates with containerized environments like these."],"source":"enrich:decision_facts","observed_at":"2026-07-12T06:23:26.991Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source technologies."}]}}