TheAgentCompany
Open-source benchmark for AI agents on multi-step, real-world software company tasks.
TheAgentCompany is a rigorous, open-source benchmark that goes beyond simple QA tasks, making it essential for researchers and developers evaluating agentic AI in realistic, multi-tool workflows. Its Docker-based setup and integration with real dev tools like GitLab and RocketChat provide a reproducible environment for controlled experiments. However, it is not for end-users or product teams seeking a ready-to-deploy assistant; it requires technical expertise to set up. Compared to alternatives like SWE-bench, TheAgentCompany's focus on multi-step, enterprise-like scenarios offers a more holistic evaluation of agent capabilities.
Verified 4d ago · liveness 67/100 · cite: rightaichoice.com/tools/theagentcompany
- AI safety researchers
- Agent framework developers
- Academic labs
- Benchmarking competitions
- End-users looking for a production-ready AI assistant
- Businesses needing a ready-to-deploy automation tool
- Beginners wanting a simple chatbot benchmark
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Skip TheAgentCompany if you are not a technical user or researcher comfortable with Docker, command-line tools, and self-hosting, or if you need a turnkey AI assistant.
Self-hosting requires your own compute resources, which can incur infrastructure costs not reflected in the free license.
TheAgentCompany is free and open-source, making it ideal for researchers and developers who need a reproducible benchmark at zero cost. Compared to commercial agent evaluation platforms like LangSmith's benchmark suites, it offers full transparency and customizability, but lacks hosted conveniences.
In short
TheAgentCompany — Open-source benchmark for AI agents on multi-step, real-world software company tasks. Best for AI safety researchers, Agent framework developers, Academic labs. Free to use.
What people actually say about TheAgentCompany — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
11 mentions across 4 sources (Hacker News, YouTube, Stack Overflow, GitHub) · researched Aug 3, 2026.
- +Realistic simulation of a software company with integrated tools
- +Multi-step, multi-tool tasks reflect actual software engineering duties
- +Open-source under MIT license, free to use and modify
- +Extensible task library allows customization for different research needs
- +Provides automated metrics and logging for evaluation
- −Low community adoption and sparse user feedback
- −Docker-based setup may be complex for beginners
- −Limited documentation and support resources
- −Scoring can be inconsistent if agents take different routes
- −Requires integration with multiple tools, adding setup complexity
- • No direct financial cost, but requires significant setup time and infrastructure
- • Requires Docker and potentially cloud resources for running simulations
Viability Score
How well maintained and how widely used is TheAgentCompany? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- Multi-step agent task evaluation
- Simulated software company environment
- Integration with GitLab
- Integration with Plane
- Integration with RocketChat
- Integration with OwnCloud
- Web browsing capabilities
- Code execution capabilities
- Automated task completion metrics
- Scoring based on goal achievement
- Reproducible test scenarios
- Logging and trace visualization
- Extensible task library
- Supports script-based and interactive agents
- Docker-based environment setup
About TheAgentCompany
TheAgentCompany is an open-source benchmark that evaluates AI agents on multi-step, real-world tasks within a simulated software company. Developed by researchers from Carnegie Mellon University and Duke University, it measures agent performance on activities like browsing the web, writing code, running programs, and communicating with coworkers. The environment integrates tools such as GitLab, Plane, RocketChat, and OwnCloud to mimic a realistic digital workplace. Agents receive natural language instructions and are scored on task completion and correctness. It is designed for AI researchers, agent developers, and safety evaluators who need a reproducible, multi-step testbed for autonomous agents. Unlike single-turn QA datasets, TheAgentCompany emphasizes multi-tool, multi-step workflows that reflect actual software engineering duties. It is freely available on GitHub under an MIT license and includes automated metrics, logging, and an extensible task library.
Behind the Verdict
TheAgentCompany stands out in the AI agent evaluation landscape by simulating a full software company—complete with GitLab for code, Plane for project management, RocketChat for communication, and OwnCloud for file storage. This environment allows you to test an agent's ability to not just write code, but also navigate a codebase, update documentation, coordinate with teammates, and handle multi-step workflows that mirror real engineering tasks. The benchmark's Docker-based setup makes it reproducible, and its MIT license ensures you can adapt it freely. For researchers, this is a significant step beyond single-turn benchmarks like SWE-bench because it measures goal achievement across multiple tools and steps, providing a more holistic view of agent capability. For agent developers, it offers a standardized way to compare your system against others on the leaderboard. However, the self-hosting requirement is a barrier: you need Docker and command-line proficiency, and there's no hosted version or UI, so it's not suitable for non-technical users. Also, the task set, while diverse, may not cover every edge case of real-world software engineering, so results should be interpreted with that in mind. For its target audience—AI researchers, safety evaluators, and framework developers—it's an exceptionally valuable tool for controlled experiments and for pushing agents toward real-world competency.
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Real-world workflow fit
Concrete scenarios for the personas TheAgentCompany actually fits — and what changes day-one when you adopt it.
You need to evaluate an agent's ability to handle multi-turn, multi-tool tasks in a controlled enterprise-like setting.
Outcome: Deploy TheAgentCompany's Docker environment, run a set of tasks involving GitLab code changes and RocketChat communication, and obtain automated metrics on task completion and correctness.
You want to compare your agent's performance against a baseline on realistic software company tasks.
Outcome: Integrate your agent with TheAgentCompany's harness, submit results to the leaderboard, and use logging and trace visualization to identify weaknesses in multi-step workflows.
Use Cases
- Evaluate how well an AI agent can navigate a real codebase and fix bugs.
- Test an agent's ability to update project documentation based on changes.
- Benchmark multi-step planning and error recovery in a simulated company.
- Compare different agent frameworks on a standardized set of software tasks.
- Run controlled experiments on agent safety and reliability in enterprise-like scenarios.
Limitations
- TheAgentCompany is an open-source benchmark with no hosted version, so you must self-deploy the environment.
- The provided tasks may not cover all real-world software engineering complexities.
- There is no API or user interface beyond the command line.
as of 2026-08-20
Verification history
We have re-verified TheAgentCompany 5 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where TheAgentCompany's pricing actually pencils out — and where peers do it cheaper.
TheAgentCompany is free and open-source, making it ideal for researchers and developers who need a reproducible benchmark at zero cost. Compared to commercial agent evaluation platforms like LangSmith's benchmark suites, it offers full transparency and customizability, but lacks hosted conveniences.
Setup time & first value
How long it actually takes to get something useful out of TheAgentCompany — broken out by persona, not the marketing-page minute.
For a researcher familiar with Docker and command-line tools, you can get the environment running in under an hour. For those new to Docker, expect half a day to a full day to configure the environment and their first agent.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with TheAgentCompany
Common stack mates teams adopt alongside TheAgentCompany, with the specific reason each pairing earns its keep.
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Featured Head-to-Head Comparisons
Theagentcompany vs Presto Voice
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Theagentcompany vs Praktika
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Theagentcompany vs Truleo
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