{"data":{"node":{"slug":"openlit-openlit","name":"openlit","tagline":"A comprehensive open-source platform for AI Engineering with LLM Observability, Monitoring, and Management","github_url":"https://github.com/openlit/openlit","owner":"openlit","repo":"openlit","owner_avatar_url":"https://avatars.githubusercontent.com/u/149867240?v=4","primary_language":"TypeScript","stars":2664,"forks":342,"topics":["ai-observability","amd-gpu","clickhouse","distributed-tracing","genai","gpu-monitoring","grafana","langchain","llmops","llms","metrics","monitoring-tool","nvidia-smi","observability","open-source","openai","opentelemetry","otlp","python","tracing"],"archived":false,"github_pushed_at":"2026-07-31T18:39:37+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/openlit-openlit","markdown_url":"https://www.graphcanon.com/tools/openlit-openlit.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/openlit-openlit","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=openlit-openlit"},"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"},{"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"}],"tags":[{"slug":"ai-observability","name":"ai-observability"},{"slug":"gpu-monitoring","name":"gpu-monitoring"},{"slug":"langchain","name":"langchain"},{"slug":"llmops","name":"llmops"},{"slug":"monitoring-tool","name":"monitoring-tool"},{"slug":"opentelemetry","name":"opentelemetry"}],"edges":[{"type":"integrates_with","direction":"out","explanation":"OpenLIT focuses on observability, monitoring, and managing AI tools like LLMs, which aligns with LangFlow’s aim to build and deploy AI agents and workflows.","successor_context":null,"tool":{"slug":"langflow-ai-langflow","name":"langflow","tagline":"Tool for building and deploying AI-powered agents and workflows","github_url":"https://github.com/langflow-ai/langflow","owner":"langflow-ai","repo":"langflow","owner_avatar_url":"https://avatars.githubusercontent.com/u/85702467?v=4","primary_language":"Python","stars":152744,"forks":9747,"topics":["agents","chatgpt","generative-ai","large-language-models","multiagent","react-flow"],"archived":false,"github_pushed_at":"2026-08-02T00:44:47+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/langflow-ai-langflow","markdown_url":"https://www.graphcanon.com/tools/langflow-ai-langflow.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/langflow-ai-langflow","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=langflow-ai-langflow"}},{"type":"integrates_with","direction":"out","explanation":"Both OpenLIT and LangChain-Chatchat are centered around managing LLMs, including observability and workflows, suggesting they can integrate for enhanced AI application management.","successor_context":null,"tool":{"slug":"chatchat-space-langchain-chatchat","name":"Langchain-Chatchat","tagline":"Local knowledge-based RAG and Agent app using Langchain and various LLMs","github_url":"https://github.com/chatchat-space/Langchain-Chatchat","owner":"chatchat-space","repo":"Langchain-Chatchat","owner_avatar_url":"https://avatars.githubusercontent.com/u/139558948?v=4","primary_language":"Python","stars":38522,"forks":6266,"topics":["chatbot","chatchat","chatglm","chatgpt","embedding","faiss","fastchat","gpt","knowledge-base","langchain","langchain-chatglm","llama","llm","milvus","ollama","qwen","rag","retrieval-augmented-generation","streamlit","xinference"],"archived":false,"github_pushed_at":"2025-11-10T09:27:42+00:00","maintenance_label":"Slowing","stars_delta_30d":254,"url":"https://www.graphcanon.com/tools/chatchat-space-langchain-chatchat","markdown_url":"https://www.graphcanon.com/tools/chatchat-space-langchain-chatchat.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/chatchat-space-langchain-chatchat","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=chatchat-space-langchain-chatchat"}},{"type":"related","direction":"in","explanation":"PandasAI and OpenLit both deal with enhancing the observability and monitoring of AI engineering systems but approach this goal from different angles.","successor_context":null,"tool":{"slug":"sinaptik-ai-pandas-ai","name":"pandas-ai","tagline":"Chat with your database or your datalake using LLMs and RAG.","github_url":"https://github.com/sinaptik-ai/pandas-ai","owner":"sinaptik-ai","repo":"pandas-ai","owner_avatar_url":"https://avatars.githubusercontent.com/u/154438448?v=4","primary_language":"Python","stars":23746,"forks":2342,"topics":["ai","csv","data","data-analysis","data-science","data-visualization","database","datalake","gpt-4","llm","pandas","sql","text-to-sql"],"archived":false,"github_pushed_at":"2025-10-28T10:02:13+00:00","maintenance_label":"Slowing","stars_delta_30d":90,"url":"https://www.graphcanon.com/tools/sinaptik-ai-pandas-ai","markdown_url":"https://www.graphcanon.com/tools/sinaptik-ai-pandas-ai.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/sinaptik-ai-pandas-ai","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=sinaptik-ai-pandas-ai"}},{"type":"related","direction":"in","explanation":"Both platforms are concerned with observability for AI and LLM applications.","successor_context":null,"tool":{"slug":"agenta-ai-agenta","name":"agenta","tagline":"The open-source LLMOps platform for prompt management, evaluation, and observability.","github_url":"https://github.com/Agenta-AI/agenta","owner":"Agenta-AI","repo":"agenta","owner_avatar_url":"https://avatars.githubusercontent.com/u/127993667?v=4","primary_language":"TypeScript","stars":4445,"forks":609,"topics":["agent-builder","agent-observability","agent-orchestration","agent-workspace","agentic-ai","ai-agent","ai-agents","ai-automation","ai-skills-manager","ai-workflow-builder","harness","mcp","open-source","self-hosted","workflow-automation"],"archived":false,"github_pushed_at":"2026-08-07T10:41:36+00:00","maintenance_label":"Very active","stars_delta_30d":170,"url":"https://www.graphcanon.com/tools/agenta-ai-agenta","markdown_url":"https://www.graphcanon.com/tools/agenta-ai-agenta.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/agenta-ai-agenta","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=agenta-ai-agenta"}},{"type":"related","direction":"in","explanation":"Both focus on observability and building/evaluating AI-driven applications.","successor_context":null,"tool":{"slug":"trycua-cua","name":"cua","tagline":"Open-source infrastructure for Computer-Use Agents","github_url":"https://github.com/trycua/cua","owner":"trycua","repo":"cua","owner_avatar_url":"https://avatars.githubusercontent.com/u/191107687?v=4","primary_language":"HTML","stars":21516,"forks":1479,"topics":["agent","ai-agent","apple","computer-use","computer-use-agent","containerization","cua","desktop-automation","hacktoberfest","lume","macos","manus","operator","swift","virtualization","virtualization-framework","windows","windows-sandbox"],"archived":false,"github_pushed_at":"2026-08-19T00:25:37+00:00","maintenance_label":"Very active","stars_delta_30d":1361,"url":"https://www.graphcanon.com/tools/trycua-cua","markdown_url":"https://www.graphcanon.com/tools/trycua-cua.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/trycua-cua","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=trycua-cua"}},{"type":"related","direction":"in","explanation":"OpenLit provides observability tools that might be used to evaluate systems like R2R; both are involved in the broader space of AI engineering infrastructure and evaluation.","successor_context":null,"tool":{"slug":"sciphi-ai-r2r","name":"R2R","tagline":"SoTA production-ready AI retrieval system with RESTful API","github_url":"https://github.com/SciPhi-AI/R2R","owner":"SciPhi-AI","repo":"R2R","owner_avatar_url":"https://avatars.githubusercontent.com/u/148402514?v=4","primary_language":"Python","stars":7967,"forks":645,"topics":["artificial-intelligence","large-language-models","python","question-answering","rag","retrieval-augmented-generation","retrieval-systems","search"],"archived":false,"github_pushed_at":"2025-11-07T01:02:44+00:00","maintenance_label":"Slowing","stars_delta_30d":36,"url":"https://www.graphcanon.com/tools/sciphi-ai-r2r","markdown_url":"https://www.graphcanon.com/tools/sciphi-ai-r2r.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/sciphi-ai-r2r","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=sciphi-ai-r2r"}},{"type":"alternative","direction":"in","explanation":"Openlit and Evidently both focus on observability in AI engineering, representing alternatives to each other.","successor_context":null,"tool":{"slug":"evidentlyai-evidently","name":"evidently","tagline":"An open-source ML and LLM observability framework.","github_url":"https://github.com/evidentlyai/evidently","owner":"evidentlyai","repo":"evidently","owner_avatar_url":"https://avatars.githubusercontent.com/u/75031056?v=4","primary_language":"Jupyter Notebook","stars":7790,"forks":895,"topics":["data-drift","data-quality","data-science","data-validation","generative-ai","hacktoberfest","html-report","jupyter-notebook","llm","llmops","machine-learning","mlops","model-monitoring","pandas-dataframe"],"archived":false,"github_pushed_at":"2026-08-05T16:29:57+00:00","maintenance_label":"Very active","stars_delta_30d":117,"url":"https://www.graphcanon.com/tools/evidentlyai-evidently","markdown_url":"https://www.graphcanon.com/tools/evidentlyai-evidently.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/evidentlyai-evidently","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=evidentlyai-evidently"}},{"type":"integrates_with","direction":"in","explanation":"Openlit is designed to enhance observability in the development of AI applications, which can complement Plano’s own observability features for a complete monitoring solution when building and deploying agents.","successor_context":null,"tool":{"slug":"katanemo-plano","name":"plano","tagline":"An AI-native proxy and data plane for agentic apps","github_url":"https://github.com/katanemo/plano","owner":"katanemo","repo":"plano","owner_avatar_url":"https://avatars.githubusercontent.com/u/112724757?v=4","primary_language":"Rust","stars":7004,"forks":482,"topics":["ai-gateway","ai-gateway-support","envoy","envoyproxy","gateway","generative-ai","llm-gateway","llm-inference","llm-proxy","llm-routing","llmops","llms","openai","prompt","proxy","proxy-server","routing"],"archived":false,"github_pushed_at":"2026-08-19T19:29:08+00:00","maintenance_label":"Very active","stars_delta_30d":127,"url":"https://www.graphcanon.com/tools/katanemo-plano","markdown_url":"https://www.graphcanon.com/tools/katanemo-plano.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/katanemo-plano","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=katanemo-plano"}},{"type":"alternative","direction":"in","explanation":"OpenLit shares a similar focus on AI engineering observability but is more focused on providing a platform with diverse functionalities whereas TruLens specializes in detailed evaluation and monitoring.","successor_context":null,"tool":{"slug":"truera-trulens","name":"trulens","tagline":"Evaluation and Tracking for LLM Experiments and AI Agents","github_url":"https://github.com/truera/trulens","owner":"truera","repo":"trulens","owner_avatar_url":"https://avatars.githubusercontent.com/u/51224128?v=4","primary_language":"Python","stars":3516,"forks":327,"topics":["agent-evaluation","agentops","ai-agents","ai-monitoring","ai-observability","evals","explainable-ml","llm-eval","llm-evaluation","llmops","llms","machine-learning","neural-networks"],"archived":false,"github_pushed_at":"2026-08-20T10:21:00+00:00","maintenance_label":"Very active","stars_delta_30d":68,"url":"https://www.graphcanon.com/tools/truera-trulens","markdown_url":"https://www.graphcanon.com/tools/truera-trulens.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/truera-trulens","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=truera-trulens"}},{"type":"integrates_with","direction":"in","explanation":"Paddler's focus on monitoring and observability metrics aligns well with OpenLit, a platform aimed at AI engineering observability. This integration can provide comprehensive monitoring and analysis of LLM serving performance.","successor_context":null,"tool":{"slug":"intentee-paddler","name":"paddler","tagline":"Open-source LLM/VLM load balancer and serving platform for self-hosting at scale","github_url":"https://github.com/intentee/paddler","owner":"intentee","repo":"paddler","owner_avatar_url":"https://avatars.githubusercontent.com/u/215040511?v=4","primary_language":"Rust","stars":1663,"forks":97,"topics":["ai","llamacpp","llm","llmops","load-balancer"],"archived":false,"github_pushed_at":"2026-07-19T19:36:21+00:00","maintenance_label":"Steady","stars_delta_30d":21,"url":"https://www.graphcanon.com/tools/intentee-paddler","markdown_url":"https://www.graphcanon.com/tools/intentee-paddler.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/intentee-paddler","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=intentee-paddler"}},{"type":"integrates_with","direction":"in","explanation":"Openlit offers a platform for AI Engineering Observability which could work in conjunction with LLMFlows to monitor and evaluate the performance of large language model applications.","successor_context":null,"tool":{"slug":"stoyan-stoyanov-llmflows","name":"llmflows","tagline":"Simple Explicit Transparent LLM Apps","github_url":"https://github.com/stoyan-stoyanov/llmflows","owner":"stoyan-stoyanov","repo":"llmflows","owner_avatar_url":"https://avatars.githubusercontent.com/u/14061867?v=4","primary_language":"Python","stars":707,"forks":35,"topics":["ai","chatgpt","gpt-4","llm","llm-inference","llmops","llms","machine-learning","openai","prompt-engineering","python","question-answering","vector-database"],"archived":false,"github_pushed_at":"2025-02-20T16:53:45+00:00","maintenance_label":"Dormant","stars_delta_30d":2,"url":"https://www.graphcanon.com/tools/stoyan-stoyanov-llmflows","markdown_url":"https://www.graphcanon.com/tools/stoyan-stoyanov-llmflows.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/stoyan-stoyanov-llmflows","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=stoyan-stoyanov-llmflows"}},{"type":"integrates_with","direction":"in","explanation":"`Vigil`, as an observability tool for detecting LLM threats, could integrate with `Openlit` to improve the observability and security practices in AI engineering.","successor_context":null,"tool":{"slug":"deadbits-vigil-llm","name":"vigil-llm","tagline":"Detect prompt injections and other risky inputs in LLMs","github_url":"https://github.com/deadbits/vigil-llm","owner":"deadbits","repo":"vigil-llm","owner_avatar_url":"https://avatars.githubusercontent.com/u/1332757?v=4","primary_language":"Python","stars":496,"forks":56,"topics":["adversarial-attacks","adversarial-machine-learning","large-language-models","llm-security","llmops","prompt-injection","security-tools","yara-scanner"],"archived":false,"github_pushed_at":"2024-01-31T18:43:41+00:00","maintenance_label":"Dormant","stars_delta_30d":5,"url":"https://www.graphcanon.com/tools/deadbits-vigil-llm","markdown_url":"https://www.graphcanon.com/tools/deadbits-vigil-llm.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/deadbits-vigil-llm","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=deadbits-vigil-llm"}},{"type":"related","direction":"in","explanation":"Given the emphasis on AI engineering observability by OpenLIT and general LLMOps tools curated in 'Awesome-LLMOps', they are tangentially related.","successor_context":null,"tool":{"slug":"tensorchord-awesome-llmops","name":"Awesome-LLMOps","tagline":"An awesome & curated list of best LLMOps tools for developers","github_url":"https://github.com/tensorchord/Awesome-LLMOps","owner":"tensorchord","repo":"Awesome-LLMOps","owner_avatar_url":"https://avatars.githubusercontent.com/u/100543303?v=4","primary_language":"Shell","stars":5915,"forks":993,"topics":["ai-development-tools","awesome-list","llmops","mlops"],"archived":false,"github_pushed_at":"2026-05-21T09:12:50+00:00","maintenance_label":"Slowing","stars_delta_30d":28,"url":"https://www.graphcanon.com/tools/tensorchord-awesome-llmops","markdown_url":"https://www.graphcanon.com/tools/tensorchord-awesome-llmops.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/tensorchord-awesome-llmops","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=tensorchord-awesome-llmops"}}],"neighbours":[{"slug":"netdata-netdata","name":"netdata","tagline":"The fastest path to AI-powered full stack observability for lean teams","github_url":"https://github.com/netdata/netdata","owner":"netdata","repo":"netdata","owner_avatar_url":"https://avatars.githubusercontent.com/u/43390781?v=4","primary_language":"Go","stars":79844,"forks":6544,"topics":["ai","alerting","cncf","data-visualization","database","devops","docker","grafana","influxdb","kubernetes","linux","machine-learning","mcp","mongodb","monitoring","mysql","netdata","observability","postgresql","prometheus"],"archived":false,"github_pushed_at":"2026-07-25T22:58:45+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/netdata-netdata","markdown_url":"https://www.graphcanon.com/tools/netdata-netdata.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/netdata-netdata","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=netdata-netdata","shared_categories":["evaluation-observability"]},{"slug":"comet-ml-opik","name":"opik","tagline":"Debug, evaluate, and monitor your LLM applications with comprehensive tracing and production-ready dashboards","github_url":"https://github.com/comet-ml/opik","owner":"comet-ml","repo":"opik","owner_avatar_url":"https://avatars.githubusercontent.com/u/31487821?v=4","primary_language":"Python","stars":21177,"forks":1681,"topics":["evaluation","hacktoberfest","hacktoberfest2025","langchain","llama-index","llm","llm-evaluation","llm-observability","llmops","open-source","openai","playground","prompt-engineering"],"archived":false,"github_pushed_at":"2026-08-07T11:46:34+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/comet-ml-opik","markdown_url":"https://www.graphcanon.com/tools/comet-ml-opik.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/comet-ml-opik","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=comet-ml-opik","shared_categories":["evaluation-observability"]},{"slug":"raga-ai-hub-ragaai-catalyst","name":"RagaAI-Catalyst","tagline":"Python SDK for AI agent observability and evaluation","github_url":"https://github.com/raga-ai-hub/RagaAI-Catalyst","owner":"raga-ai-hub","repo":"RagaAI-Catalyst","owner_avatar_url":"https://avatars.githubusercontent.com/u/161833182?v=4","primary_language":"Python","stars":16148,"forks":3565,"topics":["agentic-ai","agentic-ai-development","agentneo","agents","ai-agent-monitoring","ai-application-debugging","ai-evaluation-tools","ai-performance-optimization","ai-tool-interaction-monitoring","llm-testing","llm-tracing","llmops"],"archived":false,"github_pushed_at":"2026-02-11T14:43:33+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/raga-ai-hub-ragaai-catalyst","markdown_url":"https://www.graphcanon.com/tools/raga-ai-hub-ragaai-catalyst.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/raga-ai-hub-ragaai-catalyst","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=raga-ai-hub-ragaai-catalyst","shared_categories":["evaluation-observability"]},{"slug":"evidentlyai-evidently","name":"evidently","tagline":"An open-source ML and LLM observability framework.","github_url":"https://github.com/evidentlyai/evidently","owner":"evidentlyai","repo":"evidently","owner_avatar_url":"https://avatars.githubusercontent.com/u/75031056?v=4","primary_language":"Jupyter Notebook","stars":7790,"forks":895,"topics":["data-drift","data-quality","data-science","data-validation","generative-ai","hacktoberfest","html-report","jupyter-notebook","llm","llmops","machine-learning","mlops","model-monitoring","pandas-dataframe"],"archived":false,"github_pushed_at":"2026-08-05T16:29:57+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/evidentlyai-evidently","markdown_url":"https://www.graphcanon.com/tools/evidentlyai-evidently.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/evidentlyai-evidently","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=evidentlyai-evidently","shared_categories":["evaluation-observability"]},{"slug":"traceloop-openllmetry","name":"openllmetry","tagline":"Open-source observability for GenAI and LLM applications based on OpenTelemetry.","github_url":"https://github.com/traceloop/openllmetry","owner":"traceloop","repo":"openllmetry","owner_avatar_url":"https://avatars.githubusercontent.com/u/125419530?v=4","primary_language":"Python","stars":7377,"forks":1047,"topics":["artifical-intelligence","datascience","generative-ai","good-first-issue","good-first-issues","help-wanted","llm","llmops","metrics","ml","model-monitoring","monitoring","observability","open-source","open-telemetry","opentelemetry","opentelemetry-python","python"],"archived":false,"github_pushed_at":"2026-08-10T08:49:01+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/traceloop-openllmetry","markdown_url":"https://www.graphcanon.com/tools/traceloop-openllmetry.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/traceloop-openllmetry","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=traceloop-openllmetry","shared_categories":["evaluation-observability"]},{"slug":"tensorchord-awesome-llmops","name":"Awesome-LLMOps","tagline":"An awesome & curated list of best LLMOps tools for developers","github_url":"https://github.com/tensorchord/Awesome-LLMOps","owner":"tensorchord","repo":"Awesome-LLMOps","owner_avatar_url":"https://avatars.githubusercontent.com/u/100543303?v=4","primary_language":"Shell","stars":5915,"forks":993,"topics":["ai-development-tools","awesome-list","llmops","mlops"],"archived":false,"github_pushed_at":"2026-05-21T09:12:50+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/tensorchord-awesome-llmops","markdown_url":"https://www.graphcanon.com/tools/tensorchord-awesome-llmops.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/tensorchord-awesome-llmops","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=tensorchord-awesome-llmops","shared_categories":["evaluation-observability","inference-serving"]},{"slug":"agenta-ai-agenta","name":"agenta","tagline":"The open-source LLMOps platform for prompt management, evaluation, and observability.","github_url":"https://github.com/Agenta-AI/agenta","owner":"Agenta-AI","repo":"agenta","owner_avatar_url":"https://avatars.githubusercontent.com/u/127993667?v=4","primary_language":"TypeScript","stars":4445,"forks":609,"topics":["agent-builder","agent-observability","agent-orchestration","agent-workspace","agentic-ai","ai-agent","ai-agents","ai-automation","ai-skills-manager","ai-workflow-builder","harness","mcp","open-source","self-hosted","workflow-automation"],"archived":false,"github_pushed_at":"2026-08-07T10:41:36+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/agenta-ai-agenta","markdown_url":"https://www.graphcanon.com/tools/agenta-ai-agenta.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/agenta-ai-agenta","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=agenta-ai-agenta","shared_categories":["evaluation-observability"]},{"slug":"pydantic-logfire","name":"logfire","tagline":"AI observability platform for production LLM and agent systems","github_url":"https://github.com/pydantic/logfire","owner":"pydantic","repo":"logfire","owner_avatar_url":"https://avatars.githubusercontent.com/u/110818415?v=4","primary_language":"Python","stars":4416,"forks":272,"topics":["agent-observability","ai","ai-observability","ai-tools","evals","fastapi","llm-observability","logging","metrics","observability","openai","opentelemetry","pydantic","pydantic-ai","python","trace"],"archived":false,"github_pushed_at":"2026-08-08T05:53:25+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/pydantic-logfire","markdown_url":"https://www.graphcanon.com/tools/pydantic-logfire.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/pydantic-logfire","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=pydantic-logfire","shared_categories":["evaluation-observability"]},{"slug":"huaizhengzhang-ai-infra-from-zero-to-hero","name":"AI-Infra-from-Zero-to-Hero","tagline":"Awesome System for Machine Learning and LLM Infra","github_url":"https://github.com/HuaizhengZhang/AI-Infra-from-Zero-to-Hero","owner":"HuaizhengZhang","repo":"AI-Infra-from-Zero-to-Hero","owner_avatar_url":"https://avatars.githubusercontent.com/u/5894780?v=4","primary_language":null,"stars":4285,"forks":409,"topics":["ai-infra","genai","large-language-models","llmsys","mlsys","model-serving","model-training"],"archived":false,"github_pushed_at":"2025-07-25T02:24:35+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/huaizhengzhang-ai-infra-from-zero-to-hero","markdown_url":"https://www.graphcanon.com/tools/huaizhengzhang-ai-infra-from-zero-to-hero.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/huaizhengzhang-ai-infra-from-zero-to-hero","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=huaizhengzhang-ai-infra-from-zero-to-hero","shared_categories":["inference-serving"]},{"slug":"lmnr-ai-lmnr","name":"lmnr","tagline":"Open-source observability platform for AI agents.","github_url":"https://github.com/lmnr-ai/lmnr","owner":"lmnr-ai","repo":"lmnr","owner_avatar_url":"https://avatars.githubusercontent.com/u/161496104?v=4","primary_language":"TypeScript","stars":3183,"forks":223,"topics":["agent-observability","agents","ai","ai-observability","aiops","analytics","developer-tools","evals","evaluation","llm-evaluation","llm-observability","llmops","monitoring","observability","open-source","rust","rust-lang","self-hosted","ts","typescript"],"archived":false,"github_pushed_at":"2026-08-20T09:30:48+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/lmnr-ai-lmnr","markdown_url":"https://www.graphcanon.com/tools/lmnr-ai-lmnr.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/lmnr-ai-lmnr","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=lmnr-ai-lmnr","shared_categories":["evaluation-observability"]},{"slug":"scale3-labs-langtrace","name":"langtrace","tagline":"Open Telemetry based observability tool for LLM applications","github_url":"https://github.com/Scale3-Labs/langtrace","owner":"Scale3-Labs","repo":"langtrace","owner_avatar_url":"https://avatars.githubusercontent.com/u/110545750?v=4","primary_language":"TypeScript","stars":1228,"forks":126,"topics":["ai","datasets","evaluations","gpt","langchain","llm","llm-framework","llmops","observability","open-source","open-telemetry","openai","prompt-engineering","tracing"],"archived":false,"github_pushed_at":"2025-11-17T15:08:48+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/scale3-labs-langtrace","markdown_url":"https://www.graphcanon.com/tools/scale3-labs-langtrace.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/scale3-labs-langtrace","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=scale3-labs-langtrace","shared_categories":["evaluation-observability"]},{"slug":"emirsahin1-llm-axe","name":"llm-axe","tagline":"Toolkit for quick implementation of LLM powered applications","github_url":"https://github.com/emirsahin1/llm-axe","owner":"emirsahin1","repo":"llm-axe","owner_avatar_url":"https://avatars.githubusercontent.com/u/50391065?v=4","primary_language":"Python","stars":275,"forks":38,"topics":["function-calling","llama3","llm","local-llm","ollama","pdf-llm"],"archived":false,"github_pushed_at":"2025-01-05T19:47:01+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/emirsahin1-llm-axe","markdown_url":"https://www.graphcanon.com/tools/emirsahin1-llm-axe.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/emirsahin1-llm-axe","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=emirsahin1-llm-axe","shared_categories":[]}]}}