{"data":{"slug":"databufflabs-databuff","name":"databuff","tagline":"AI-native OpenTelemetry APM with multi-agent root-cause analysis","github_url":"https://github.com/databufflabs/databuff","owner":"databufflabs","repo":"databuff","owner_avatar_url":"https://avatars.githubusercontent.com/u/184463508?v=4","primary_language":"Java","stars":665,"forks":130,"topics":["aiops","apm","application-monitoring","devops","distributed-tracing","ebpf","java","llm-observability","microservices","monitoring","multi-agent","observability","open-source","opentelemetry","otlp","root-cause-analysis","skywalking","sreagent","tracing"],"archived":false,"github_pushed_at":"2026-09-10T01:48:00+00:00","maintenance_label":"Very active","stars_delta_30d":138,"url":"https://www.graphcanon.com/tools/databufflabs-databuff","markdown_url":"https://www.graphcanon.com/tools/databufflabs-databuff.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/databufflabs-databuff","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=databufflabs-databuff","description":"DataBuff is an AI-native APM built on Opentelemetry，with multi-agent troubleshooting out of the box.","homepage_url":"https://databuff.ai","license":"AGPL-3.0","open_issues":11,"watchers":19,"ai_summary":"DataBuff is an AI-native open-source application performance monitoring (APM) software designed for AI agents, microservices, and cloud-native scenarios. It integrates with OpenTelemetry standards to provide full-chain monitoring, service topology, RED metrics, and an AI workbench.","readme_excerpt":"## Quick Start in 5 Minutes\n\n1. **Install platform** — one command to launch Ingest + Doris + Web\n\n```bash\ncurl -fsSL https://databuff.ai/databuff/ai-apm-install.sh | bash\n```\n\n2. **Install demo** (optional) — auto-report traces and see topology quickly\n\n```bash\ncurl -fsSL https://databuff.ai/databuff/ai-apm-demo-install.sh | bash\n```\n\n3. **Connect a model → start troubleshooting** — open `http://YOUR_HOST:27403`, login `admin` / `Databuff@123`, add API key to enable AI\n\n
\nOffline install / Kubernetes install\n\n
\n\n**Offline install** — download the bundle from the [install page](https://databuff.ai/#install):\n\n```bash\ntar -zxvf databuff-ai-apm-offline--.tar.gz\ncd databuff-ai-apm-offline-- && sudo ./install.sh\n```\n\n**Kubernetes install**\n\n```bash\ncurl -fsSL https://databuff.ai/databuff/ai-apm-k8s-install.sh | bash\ncurl -fsSL https://databuff.ai/databuff/ai-apm-demo-k8s-install.sh | bash # demo optional\n```\n\n
\n\n---\n\n---\n\n## License\n\nThis repository is licensed under **AGPL-3.0**.","github_created_at":"2026-06-18T02:06:27+00:00","created_at":"2026-07-15T10:41:15.643636+00:00","updated_at":"2026-09-20T04:25:26.274465+00:00","categories":[{"slug":"evaluation-observability","name":"Evaluation & Observability","url":"https://www.graphcanon.com/categories/evaluation-observability","markdown_url":"https://www.graphcanon.com/categories/evaluation-observability.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/evaluation-observability"}],"tags":[{"slug":"ai","name":"ai"},{"slug":"aiops","name":"aiops"},{"slug":"apm","name":"apm"},{"slug":"devops","name":"devops"},{"slug":"distributed-tracing","name":"distributed-tracing"},{"slug":"llm-observability","name":"llm-observability"},{"slug":"microservices","name":"microservices"},{"slug":"multi-agent","name":"multi-agent"}],"trust":{"provenance":{"is_fork":false,"github_id":1272859739,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-10T06:00:46.951Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":9,"days_since_push":0,"last_release_at":"2026-09-07T01:18:38Z","stars_delta_30d":138,"open_issues_delta_30d":0},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-15T10:41:17.202Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-10T06:00:47.563Z"},"languages":{"value":["java"],"source":"github.language","observed_at":"2026-09-10T06:00:47.563Z"},"license_spdx":{"value":"AGPL-3.0","source":"github.license","observed_at":"2026-09-10T06:00:47.563Z"}},"decision_facts":{"hosting":{"model":"self_hosted"},"pricing":{"model":"freemium","summary":"Open-source under the AGPL-3.0 license, no cost for use but with obligations."},"requirements":null,"constraints":{"hosting_model":"self_hosted","pricing_model":"freemium"},"when_to_use":["Use DataBuff when you need AI-driven root-cause analysis capabilities across traces, metrics, and service topologies.","If your application stack heavily relies on LLMs for query and tracking data directly from traces and metrics, DataBuff's AI workbench could be particularly beneficial.","Opt for DataBuff if your project benefits from a minimal three-component architecture (Ingest + Doris + Web) that can be quickly deployed using Docker or K8s."],"when_not_to_use":["DataBuff may not be suitable when you require real-time eBPF APM capabilities, as this feature is still under development.","Do not use DataBuff if your monitoring requirements do not involve the use of AI to handle multiple agents and their coordination for complex problems.","If your project prefers proprietary observability solutions over open-source alternatives that enforce AGPL-3.0 licensing terms, DataBuff might not align with your project's goals."],"source":"enrich:decision_facts","observed_at":"2026-07-16T21:17:49.831Z"},"constraint_facets":{"hosting_model":"self_hosted","pricing_model":"freemium"},"decision_summary":[{"label":"Hosting","value":"self hosted"},{"label":"Pricing","value":"freemium - Open-source under the AGPL-3.0 license, no cost for use but with obligations."},{"label":"Adopt for","value":"DataBuff is an AI-native open-source APM software that integrates OpenTelemetry standards to offer full-chain monitoring, service topology analysis, and AI assistance in problem-solving for cloud-native scenarios."},{"label":"License detail","value":"AGPL-3.0"}]}}