Live, open-source benchmark for comparing AI coding agents on real GitHub issues
⭐ Star this repo to bookmark — fresh data every 15 minutes
A standardized benchmark suite that runs coding agents against live, real-world GitHub issues with reproduction steps. Unlike static academic benchmarks, it outputs a weekly-updated public leaderboard, enabling developers to compare agents like OpenCode, Codex, and Claude Code in realistic scenarios.
This list is auto-updated every 15 minutes by a GitHub Actions cron. Each commit reflects a real change in the upstream data source — new items added, expired items removed — so you can rely on what you see being current.
⏰ Last updated: 2026-07-26 03:30 UTC
Data source:
GitHub Search APIThe table below is rewritten on every cron tick. Star the repo to bookmark.
| # | Name | ⭐ | Lang | Updated | Description |
|---|---|---|---|---|---|
| 1 | Arize-ai/phoenix | 10730 | Python | 2026-07-26 | AI Observability & Evaluation |
| 2 | saddled-panicattack529/idea-evaluation-pipeline | 0 | — | 2026-07-26 | Streamline research idea evaluation for finance and economics to reach top journal quality using an iterative, AI-assist |
| 3 | Kondwani10/Origin-Continuum | 0 | — | 2026-07-26 | 🌐 Define and explore the Origin ↔ Continuum framework, ensuring proper attribution and continuity in dependency relation |
| 4 | Sans-cell-art/-Project-Phoenix-The-E-Waste-Supercomputer- | 0 | — | 2026-07-26 | ♻️ Transform e-waste into a powerful, low-cost cloud operating system, unlocking computing potential and promoting resou |
| 5 | bhavya7995/AI_governance | 2 | PowerShell | 2026-07-26 | 🤖 Streamline AI-assisted development with a governance kit for rules, enforcement, and decision-making, ensuring speed a |
| 6 | promptfoo/promptfoo | 23598 | TypeScript | 2026-07-26 | Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, C |
| 7 | sammyjdev/gnomon-eval | 0 | Python | 2026-07-26 | Honest RAG evaluation harness: judge metrics with confidence intervals, cost and latency first-class, offline-first. |
| 8 | IonDen/mlx-quant-fidelity | 2 | Python | 2026-07-25 | Measure MLX quantization quality loss — KL divergence, perplexity, top-token agreement for KV cache and weights |
| 9 | vitorwilher/copom-rag-service | 0 | Python | 2026-07-25 | Serviço de RAG sobre atas do Copom + boletim Focus, servido como API (FastAPI+Docker), com eval harness (golden set, LLM |
| 10 | tkarim45/multi-agent-eval | 0 | Python | 2026-07-25 | Does multi-agent beat single-agent? Benchmarks a planner→workers→critic system vs single-agent on quality/cost/latency — |
| 11 | tkarim45/agent-eval-harness | 0 | Python | 2026-07-25 | Agent eval harness — measure task success, tool-call accuracy, step efficiency, and cost for tool-using LLM agents (Clau |
| 12 | UiPath/coder_eval | 107 | Python | 2026-07-24 | Evaluate & benchmark AI coding agents and Claude Code skills — sandboxed, reproducible YAML eval suites for Claude Code, |
| 13 | truera/trulens | 3459 | Python | 2026-07-24 | Evaluation and Tracking for LLM Experiments and AI Agents |
| 14 | ipezygj/evalgate | 2 | Python | 2026-07-24 | Dependency-free statistical checks for AI eval claims: multiple-comparisons correction, LLM-judge bias tests, and leave- |
| 15 | NoesisVision/nasde-toolkit | 11 | Python | 2026-07-24 | CLI for benchmarks & evals of AI coding agents — on tasks you already understand, using your Claude / Codex / Gemini ind |
| 16 | 10div10/agent-trajectory-evaluator | 0 | Python | 2026-07-24 | LLM-as-judge evaluator for scoring AI agent trajectories on task completion, tool correctness, and efficiency |
| 17 | jeremylongshore/j-rig-skill-binary-eval | 0 | TypeScript | 2026-07-24 | Binary-criteria evaluation harness for Claude skills with planned extension to plugins, agents, and MCP servers. Score e |
| 18 | verifywise-ai/verifywise | 322 | TypeScript | 2026-07-26 | Complete AI governance and LLM Evals platform with support for EU AI Act, ISO 42001, NIST AI RMF and 20+ more AI framewo |
| 19 | valbaudo/awf | 1 | Go | 2026-07-23 | Run agents you don't babysit, and trust the result. awf runs agentic workflows with independent gates that check every s |
| 20 | iZenDeveloper/auditai | 0 | Python | 2026-07-23 | Developer-first LLM/RAG safety audits for CI/CD — faithfulness, relevancy, prompt injection (BYOK OpenAI/xAI). pip insta |
| 21 | lftherios/session-link | 0 | Go | 2026-07-23 | A local-first CLI that turns any LLM session into a permanent URL you can inspect, share, and revisit. |
| 22 | Giskard-AI/giskard-oss | 5713 | Python | 2026-07-23 | 🐢 Open-Source Evaluation & Testing library for LLM Agents |
| 23 | Eval-core/evalcore | 14 | Rust | 2026-07-26 | Snapshot testing for LLM apps and agents, built to run locally and block regressions in CI. |
| 24 | cklxx/ckl-bench | 1 | HTML | 2026-07-22 | ckl's personal benchmark for doc writing, infra code, and paper reading — one-click evaluation of the latest models via |
| 25 | monospaceai/evaldata | 2 | Python | 2026-07-22 | Evaluate AI-generated SQL with pytest. |
| 26 | RudrenduPaul/memtrust | 0 | Python | 2026-07-22 | Agent memory backends each publish their own benchmark numbers, on different tests, measured different ways. memtrust ru |
| 27 | homemade-software-inc/completion-kit | 1 | Ruby | 2026-07-21 | Your prompts need tests too. Run prompts against real datasets, score outputs with LLM judges, version everything, and c |
| 28 | lehigh-university-libraries/htr | 2 | Go | 2026-07-21 | Handwritten Text Recognition llm eval tool |
| 29 | ozlar34/job-match-radar | 1 | Python | 2026-07-21 | Self-hosted n8n + Supabase pipeline that scrapes LinkedIn and a watchlist of company ATS endpoints, scores listings agai |
| 30 | mohanish3/eval-atlas | 0 | TypeScript | 2026-07-21 | LLM eval dashboard for multiple choice and open ended prompts. Upload JSON or JSONL eval sets, run against OpenAI, Anthr |
| 31 | SFX-TECH/sfx-lead-intelligence | 0 | — | 2026-07-20 | SFX Lead Intelligence Command Center: local-LLM hub plus lead dashboard, quality lifted 61 to 99 percent via a ground-tr |
| 32 | AshC2004/llm-eval-harness | 0 | Python | 2026-07-18 | Automated groundedness scoring, hallucination detection, and regression tracking for RAG and agent outputs |
| 33 | pdxlab/trustmodel-mcp-server | 0 | TypeScript | 2026-07-25 | TrustModel MCP Server — trust evaluation, red-team, and governance for AI agents via the Model Context Protocol. npm: @t |
| 34 | sahuno/confounded | 0 | R | 2026-07-15 | A gym for scientific judgment. AI agents render fatally flawed analyses at publication quality — we measured whether any |
| 35 | vijayarjun7/flipcheck | 0 | TypeScript | 2026-07-14 | LLM self-consistency and sycophancy diagnostic — catches contradictions and false-premise acceptance hiding behind confi |
| 36 | QuesmaOrg/BinaryAudit | 97 | Shell | 2026-07-14 | An open-source benchmark for evaluating AI agents' ability to find backdoors hidden in compiled binaries. |
| 37 | harnexa/nexa-gauge | 40 | Python | 2026-07-20 | An graph-eval framework for LLM's |
| 38 | multivon-ai/multivon-eval | 8 | Python | 2026-07-13 | Practical LLM evaluation for teams that ship to production. Deterministic + LLM-as-judge evaluators, dataset support, CI |
| 39 | attogram/ollama-multirun | 16 | Shell | 2026-07-12 | Run a prompt against all, or some, of your models running on Ollama. Creates web pages with the output, performance stat |
| 40 | nishant20/testgen-eval | 0 | TypeScript | 2026-07-10 | An agent-eval harness that gates and judges testgen's generated test suites via MCP — deterministic checks plus an LLM-j |
| 41 | ahwurm/localshift | 3 | Python | 2026-07-09 | Migrate headless Claude/AI workloads to local LLMs with a derived, per-workload quality eval — cron job in, zero-margina |
| 42 | coffee-converter/onthemoney | 0 | Python | 2026-07-14 | An AI agent that answers questions about U.S. campaign money against real FEC data. Source-cited, graded on a public eva |
| 43 | MihirBindu/dynamo-log-report-fix | 0 | Python | 2026-07-09 | A broken Terminal-Bench 2 (Harbor) task, repaired: reproducible env, solution-leak removed, gameable verifier replaced w |
| 44 | christianmacion26/judge-harness | 0 | Python | 2026-07-08 | LLM-as-judge validated vs humans (Cohen's κ), with position-bias exposed. |
| 45 | plwslpld-arch/loopward | 1 | TypeScript | 2026-07-07 | Stress-test the tool-routing decision inside an agent loop: audit confusable tools, red-team routing robustness, compare |
| 46 | ContextJet-ai/skillvitals | 1 | Python | 2026-07-06 | Vital signs for your agent skills: measure whether a skill triggers when it should and whether it actually helps, on a c |
| 47 | nikolas-sapa/sigeval | 1 | Python | 2026-07-05 | Statistically rigorous LLM evaluation framework for Python — pytest for LLMs that isn't flaky. Treats every eval as a pr |
| 48 | Sushant-Dagar/agent-eval-harness | 0 | Python | 2026-07-04 | CI-integrated eval harness for LLM agents — intent accuracy, retrieval precision/recall/MRR, and hallucination detection |
| 49 | lokesh75-kank/agenteval | 0 | TypeScript | 2026-07-03 | Reliability and audit-evidence testing for LLM agents - wrap any agent, assert behavior, measure determinism, check grou |
| 50 | Ruthwik-Data/finrag-eval | 0 | Python | 2026-07-02 | Local RAG eval on real SEC 10-Ks that catches confident financial hallucinations — and surfaced a metric bug now merged |
| 51 | hydrangeas20/safetylens | 0 | Jupyter Notebook | 2026-07-01 | Empirical study of evaluation robustness in large language models. Compares benchmark style evaluation prompts with real |
| 52 | kilocommits/campaign-eval-harness | 0 | Python | 2026-06-30 | An LLM-as-judge harness that scores AI-generated campaign phone scripts against a weighted quality rubric with a real Ha |
| 53 | Merchantlee99/myrealtrip-cancel-recovery-eval | 0 | Python | 2026-06-30 | Codex eval plugin for auditing cancel-recovery replacement-product exposure policies. |
| 54 | reaatech/agent-eval-harness | 0 | TypeScript | 2026-07-20 | End-to-end agent evaluation — trajectory eval, tool-use correctness, cost-per-task, latency budgets, regression suites w |
| 55 | TheAnacondA57/BidAgent | 1 | Python | 2026-06-29 | RAG agentique sur des documents de concession télécom publique (DSP/RIP), pensé eval-first et contrôlé en CI. |
| 56 | chquandogong/mission-spec | 0 | TypeScript | 2026-06-29 | Mission Spec — AI 에이전트 워크플로를 위한 task contract layer |
| 57 | G59-Toneli/dataset-eval-skill | 1 | JavaScript | 2026-06-25 | A Claude skill for building golden sets to test AI systems — matching, RAG, LLM-as-judge — without false greens. |
| 58 | thewonderofyou777z-dot/tjoe-reviewkit | 0 | Python | 2026-06-25 | TjoeReviewKit：tjoe 的本地离线工作流复盘检查工具；不运行任务、不联网、不接管工具调用、不采集生产日志 |
| 59 | RaphaelFakhri/reagent | 0 | Python | 2026-06-24 | Tool-using ReAct + RAG agent (enterprise assistant) with a built-in evaluation harness scoring accuracy, tool selection, |
| 60 | melody-ling-L/eval-resume | 0 | HTML | 2026-06-24 | 中文 LLM 简历改写诚实度 benchmark：20 脱敏简历 × 3 模型 × 4 维度 · promptfoo + LLM-as-judge · 含在线报告 |
| 61 | gashel01/evalmcp | 0 | Python | 2026-06-22 | Evaluation for AI agents — judge-based scoring and native RAG metrics (faithfulness, relevancy, context precision/recall |
| 62 | anejakartik/evalstack | 0 | TypeScript | 2026-06-22 | Open-source LLM evaluation framework — drop-in SDK + CI plugin. LLM-as-judge, regression detection, free + self-hostable |
| 63 | jmpei/nl2sql-agents | 0 | Python | 2026-06-21 | NL→SQL multi-agent pipeline (LangGraph + Claude) with deterministic SQL-injection guardrails and golden-set eval. |
| 64 | TeracAI/svg-arena | 0 | TypeScript | 2026-06-20 | A forkable example of the human-in-the-loop model-improvement loop: AI generates, humans judge via the Terac MCP, you im |
| 65 | Ayubjon/refusal-radar | 1 | JavaScript | 2026-06-20 | Zero-dependency detector and classifier for LLM refusals, deflections, and capability disclaimers — CLI + library with s |
| 66 | melody-ling-L/judgebuddy | 0 | HTML | 2026-06-20 | Single-file labeling tool for LLM-as-judge calibration. Three-pane comparison + multi-dim scoring. Zero deployment. |
| 67 | ramenprotokol/hallucination-hunter | 0 | Python | 2026-06-20 | Detect & score LLM hallucinations by groundedness — labeled data, precision/recall/F1, runs offline with no API key. Plu |
| 68 | gititya/Quality-Agency-support | 0 | Python | 2026-07-09 | Five local QA judges that review B2B and B2C customer-support replies, catch the risky parts, and explain what to fix. |
| 69 | tushariitr-19/assay | 4 | Go | 2026-06-17 | Framework-agnostic evaluation harness for Go — test your MCP servers and AI agents with scored, CI-ready checks. |
| 70 | jedobe/skill-evaluator | 0 | Python | 2026-06-17 | Score any Claude Code skill against a research-backed rubric derived from the top 9 most-starred skill repos on GitHub |
| 71 | ALEX-nlp/OpenSkillEval | 12 | Python | 2026-06-15 | OpenSkillEval: Automatically Auditing the Open Skill Ecosystem for LLM Agents |
| 72 | mpuodziukas-labs/eval-harness-template | 0 | Python | 2026-06-14 | Eval harness template for LLM systems: golden regression, LLM-as-judge, invariants |
| 73 | mizcausevic-dev/agent-eval-arena | 0 | TypeScript | 2026-07-20 | Agent and LLM evaluation harness — golden datasets, multi-scorer execution, regression detection across model versions, |
| 74 | ejentum/eval | 4 | Python | 2026-06-11 | A/B evaluate any LLM task with and without Ejentum cognitive injection. n8n workflow + TypeScript module. |
| 75 | akanjilal-work/agent-eval-harness | 0 | Python | 2026-06-10 | A lightweight harness to test agent behaviour (tool-call correctness, injection refusal, cost ceilings) before deploymen |
| 76 | karlmehta/trustmodel-mcp | 0 | TypeScript | 2026-06-10 | TrustModel MCP Server — trust evaluation, red-team & governance for AI agents via the Model Context Protocol. Public can |
| 77 | alyssadata/continuity-keys | 1 | — | 2026-06-08 | Continuity Keys: tests for “same someone” returns. Behavioral identity consistency under pressure. Origin (Alyssa Solen) |
| 78 | reaatech/classifier-evals | 0 | TypeScript | 2026-07-22 | Offline classifier evaluation harness — dataset loader, confusion matrices, LLM-as-judge with cost accounting, regressio |
| 79 | reaatech/rag-eval-pack | 0 | TypeScript | 2026-07-20 | RAG evaluation toolkit — faithfulness, answer relevance, context precision/recall, cost accounting, CI gates. Pairs with |
| 80 | Juanllenato/llm-eval-harness | 0 | Python | 2026-06-03 | A small, production-minded evaluation and observability harness for LLM/RAG features. Runs offline or live, gates CI on |
| 81 | Victor-David-Medina/llm-eval-harness | 0 | Python | 2026-06-03 | LLM evaluation harness that gates quality in CI: golden datasets, regression detection, grounding and faithfulness check |
| 82 | thestio/thest-eval | 0 | Python | 2026-06-02 | The CI regression gate and governance-evidence layer for LLM systems — zero-dependency, vendor-neutral, offline. |
| 83 | monkeyin92/voice-agent-testops | 0 | TypeScript | 2026-06-01 | Regression testing for voice agents: scripted conversations, safety assertions, CI-ready reports. |
| 84 | fastxyz/skill-optimizer | 71 | TypeScript | 2026-05-28 | Benchmark, evaluate, and optimize skills to ensure reliable performance across all LLMs |
| 85 | ajmeese7/local-llms | 1 | Python | 2026-05-27 | Use local Large Language Models for production use cases, and perform benchmarking for task-specific performance evaluat |
| 86 | rogue-socket/focusgroup | 0 | Python | 2026-07-13 | Persona-driven dynamic testing for conversational AI products. Focus groups for your agents. |
| 87 | sanya2025/edututor-eval | 0 | Python | 2026-05-21 | A lightweight evaluation framework for AI tutoring responses, built for education-focused LLM systems |
| 88 | Alexanderk30/context-override-resistance | 0 | Python | 2026-05-19 | RL-style eval measuring intent/action divergence in frontier agents: model acknowledges a correction, then acts on the s |
| 89 | GiuseppeSp/n8n-customer-interview-synthesizer | 0 | — | 2026-05-19 | Multi-agent customer-interview synthesis pipeline in n8n with LLM-as-judge eval, Slack human-in-the-loop approval, and d |
| 90 | gmitt98/fieldtest | 0 | Python | 2026-05-16 | LLM evaluation framework — define what correct, well-formed, and safe means before you measure |
| 91 | verifywise-ai/plugin-marketplace | 3 | TypeScript | 2026-05-15 | VerifyWise AI Governance Plugin Marketplace |
| 92 | AI-QL/tuui | 1153 | TypeScript | 2026-05-14 | A desktop MCP client designed as a tool unitary utility integration, accelerating AI adoption through the Model Context |
| 93 | prompt-foundry/typescript-sdk | 6 | TypeScript | 2026-05-13 | The prompt engineering, prompt management, and prompt evaluation tool for TypeScript, JavaScript, and NodeJS. |
| 94 | prompt-foundry/python-sdk | 8 | Python | 2026-05-13 | The prompt engineering, prompt management, and prompt evaluation tool for Python |
| 95 | Ruthwik-Data/mechanictrust | 0 | — | 2026-05-11 | AI product case study for trust, pricing transparency, and explainable diagnosis in auto repair. |
| 96 | SAY-5/eval-observability | 0 | Python | 2026-05-10 | Python LLM eval framework with full OTel tracing, structured logs, and daily Welch's-t-test regression detection persist |
| 97 | Ruthwik-Data/self-improving-prompt-agent | 0 | Python | 2026-05-10 | Automated prompt-optimization loop (edit→evaluate→keep) with an LLM judge — the RLHF/AutoML pattern in ~100 lines. Score |
| 98 | SAY-5/genai-eval | 0 | Python | 2026-05-07 | Multilingual GenAI evaluation service across 5 task types and 3 languages, with regression-trend dashboard |
| 99 | advitrocks9/java2kotlin-eval | 0 | Kotlin | 2026-05-05 | headless Java→Kotlin converter pipeline -- IntelliJ plugin + Kotlin eval harness |
| 100 | HumphreySun98/repoagentbench | 30 | Python | 2026-04-30 | SWE-bench for your codebase — mine your merged PRs into local, contamination-free coding-agent benchmarks. Adapters: cla |
Every 15 minutes, a GitHub Action runs tracker.py. That script:
- Fetches the latest state from
GitHub Search API. - Diffs against
data/items.json(the previous snapshot). - Rewrites the table above between the
<!-- TRACKER_TABLE_* -->markers. - Commits
feat: +N added, -M removed (timestamp)if anything changed.
No external services. No paid APIs. Just a public data source and a free GitHub Action.
See CONTRIBUTING.md — usually you don't need to: the tracker keeps itself current.
If you spot a data-source bug or want to suggest a new column for the table, open
an issue.
If you find this useful, you might also like these other auto-updated trackers from the same maintainer — same mechanism, different upstream:
- trending-claude-skills — What's shipping in Claude Skills this week (
topic:claude-skills) - mcp-servers-live — Live index of newest MCP servers (
topic:mcp-server) - cursor-rules-live — Newest Cursor rules and .cursorrules patterns (
topic:cursor-rules) - claude-code-plugin-tracker — Claude Code plugins and hook configs (
topic:claude-code) - llm-agents-radar — Newest LLM agent frameworks (
topic:llm-agent) - rag-radar — Newest RAG implementations and tools (
topic:rag) - llm-eval-tracker — Newest LLM evaluation tools and benchmarks (
topic:llm-eval) - agent-framework-radar — Newest agent frameworks shipping on GitHub (
topic:agent-framework) - vector-db-live — Newest vector DB projects and integrations (
topic:vector-database) - llmops-radar — Newest LLMOps tooling (observability, deployment) (
topic:llmops) - prompt-tools-live — Newest prompt-engineering tools and prompt repos (
topic:prompt-engineering) - skills-tracker — Tracking new GitHub 'skills' repos (
topic:agent-skills) - awesome-agent-skills — Curated auto-updated awesome-list of AI agent skills (
topic:agent-skills)
MIT — see LICENSE.
-
Awesome Agent Skills — Curated, auto-updated awesome-list of vetted AI agent skills with quality ratings for Claude, GPT, and open-source agents (⭐ 0)
-
Agent Skills Daily Tracker — Real-time tracking of every new GitHub 'skills' repo to capture the AI agent skill ecosystem trend (⭐ 0)
-
Agent Eval Harness — Live, open-source benchmark for comparing AI coding agents on real GitHub issues (⭐ 0)
-
Prompt Tools Live — Live-updating tracker of prompt engineering tools, libraries, and techniques — refreshed every 15 minutes (⭐ 0)
-
LLMOps Radar — Live index of the newest LLMOps tooling — track what's shipping in LLM observability and deployment (⭐ 0)