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Exgentic

Exgentic is an open-source leaderboard and evaluation framework for comparing general-purpose AI agents.

Place
#25 of 28
Score
5.8
Exgentic's website

What Exgentic is

Exgentic is an open-source leaderboard and evaluation framework for comparing general-purpose AI agents. It provides a shared interface across benchmarks and domains including personal assistance, customer service, technical support, deep research, and software engineering. Listed benchmarks include τ²-bench, AppWorld, BrowseComp+, SWE-Bench, HotpotQA, GSM8K, and the Berkeley Function Calling Leaderboard. Listed agents include LiteLLM Tool Calling, SmolAgents, OpenAI MCP, Claude Code, Codex CLI, and Gemini CLI. Exgentic says it avoids prompt optimization and reports results from 100 sampled tasks per benchmark. Benchmark content and agent implementations are left unchanged, although interfaces may be adapted to a unified protocol. The repository contains the evaluation pipeline, implementations, configuration, and results for reproduction, with outcomes potentially varying by model version or nondeterministic output. Users can install a command-line tool or Python library, use OpenAI, Anthropic, or Hugging Face models, and run evaluations in Docker isolation. It is licensed under Apache License 2.0.

Good

  • Open source under Apache License 2.0
  • Consistent interface across many benchmarks
  • Pipeline and results available for reproduction
  • Supports OpenAI, Anthropic, and Hugging Face
  • Docker runner provides container isolation

Watch out

  • Results can vary with model versions
  • Docker requires installation and a running daemon
  • Evaluation sessions stop at 100 steps or actions
  • Requires API credentials for some models

Who it suits

Exgentic suits agent builders, researchers, component developers, benchmark builders, and others comparing agent behavior. It is useful for users comfortable with command-line or Python-based evaluation.

Verdict

Exgentic offers a reproducible way to compare agents across varied tasks and benchmarks. Its technical setup and run limits make it most suitable for users who can manage code, credentials, and optional Docker isolation.

The facts

Each one read from Exgentic's own pages, with the date it was checked.

What it does

Agents
Listed agents include LiteLLM Tool Calling, SmolAgents, OpenAI MCP, Claude Code, Codex CLI, and Gemini CLI.checked 4 Oct 2026
Available agents
The listed agents include LiteLLM Tool Calling, HuggingFace SmolAgents, OpenAI MCP, Claude Code, Codex CLI, and Gemini CLI.checked 9 Oct 2026
Available benchmarks
The framework lists tau2, appworld, browsecompplus, swebench, hotpotqa, gsm8k, and bfcl benchmarks.checked 9 Oct 2026
Benchmark handling
Exgentic says it does not modify benchmarks or agent implementations, though it may adapt interfaces to its unified protocol.checked 4 Oct 2026
Benchmarks
The leaderboard covers personal assistance, customer service, technical support, deep research, and software engineering benchmarks.checked 9 Oct 2026
Evaluation domains
The leaderboard covers personal assistance, customer service, technical support, deep research, and software engineering tasks.checked 4 Oct 2026
Evaluation framework
Its framework provides a consistent interface for evaluating agents on benchmarks to compare performance and reproduce results.checked 4 Oct 2026
Framework
Exgentic provides a consistent interface for testing agents across benchmarks and domains to compare performance and reproduce results.checked 9 Oct 2026
Installation
The project documents installation as a command line tool with uv and use as a Python library with uv or pip.checked 4 Oct 2026
Integrations
The README documents API credentials for OpenAI and Anthropic models and support for Hugging Face models and Jobs.checked 9 Oct 2026
Isolation
The repository documents a Docker runner for full container isolation, requiring Docker to be installed and running.checked 4 Oct 2026
License
The framework is distributed under the Apache License 2.0.checked 9 Oct 2026
License and support
The repository states that Exgentic is licensed under Apache License 2.0 and directs support questions to GitHub issues.checked 4 Oct 2026
Local use
The README documents installation as a command-line tool or Python library and includes an evaluation dashboard command.checked 9 Oct 2026
Methodology
Exgentic says it avoids prompt optimization and reports results on 100 sampled tasks per benchmark.checked 4 Oct 2026
Model integrations
The quick start documents OpenAI and Anthropic API credentials, and the repository also describes support for Hugging Face models or evaluations on Hugging Face Jobs.checked 4 Oct 2026
Open results
The evaluation pipeline, agent implementations, configuration, and results are available for reproducing evaluations.checked 9 Oct 2026
Product
Exgentic is an open agent leaderboard that compares general purpose AI agents across diverse benchmarks.checked 4 Oct 2026
Purpose
Exgentic is an open agent leaderboard that evaluates general purpose AI agents across diverse domains.checked 9 Oct 2026
Reproducibility
The evaluation pipeline, agent implementations, and configuration are available in the repository; the project notes results may vary with model versions or nondeterministic outputs.checked 4 Oct 2026
Run limits
Evaluation sessions default to limits of 100 steps and 100 actions, and stop when either limit is reached.checked 9 Oct 2026
Security and isolation
The README documents a Docker runner for full container isolation when running evaluations.checked 9 Oct 2026
Support
The project directs users to open a GitHub issue for questions and support.checked 9 Oct 2026

Where it runs

Evaluation approach
Exgentic says it avoids prompt optimization and reports results on 100 sampled tasks per benchmark.checked 9 Oct 2026

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