Comparison
agenta vs openpi
Verdict
Pick agenta if agenta is an open-source LLMOps platform that supports prompt engineering, evaluation of language models, and monitoring their performance. It can be self-hosted and comes with a comprehensive set of tools for managing L; pick openpi if openpi is a specialized tool for model training, inference & serving that leverages advanced GPU capabilities and has specific requirements for.
Markdown twin · agenta alternatives · openpi alternatives
GraphCanon updated today
Trust & integrity
| Signal | agenta | openpi |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Active (25d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- agenta
- The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.
- openpi
- Repository for running AI models with GPU requirements specified.
Stars
- agenta
- 4.3k
- openpi
- 13k
Forks
- agenta
- 565
- openpi
- 2.2k
Open issues
- agenta
- 184
- openpi
- 312
Language
- agenta
- TypeScript
- openpi
- Python
Adopt for
- agenta
- Agenta is an open-source LLMOps platform that supports prompt engineering, evaluation of language models, and monitoring their performance. It can be self-hosted and comes with a comprehensive set of tools for managing L
- openpi
- openpi is a specialized tool for model training, inference & serving that leverages advanced GPU capabilities and has specific requirements for memory and hardware configurations.
Persona
- agenta
- -
- openpi
- -
Runtime
- agenta
- -
- openpi
- -
License
- agenta
- Other
- openpi
- Apache-2.0
Last pushed
- agenta
- Jul 11, 2026
- openpi
- Jun 16, 2026
Categories
- agenta
- AI Agents, LLM Frameworks, Inference & Serving
- openpi
- Model Training, Inference & Serving
Trust and health
Maintenance
- agenta
- Very active (96%)
- openpi
- Active (82%)
Days since push
- agenta
- 0d
- openpi
- 25d
Open issues (now)
- agenta
- 184
- openpi
- 312
Full report
- agenta
- Trust report
- openpi
- Trust report
Choose agenta if…
- agenta is primarily TypeScript; openpi is Python.
- License: agenta is Other, openpi is Apache-2.0.
- Tags unique to agenta: llm-framework, llm-monitoring, evaluation, agents.
- Also covers AI Agents, LLM Frameworks.
- You should use Agenta if you're working on managing prompts and evaluating the performance of your language models while needing observability features in an open-source environment.
When NOT to use agenta
- Avoid Agenta if you prefer pre-packaged SaaS solutions over DIY open-source deployments; setting up and maintaining can be complex.
- Agenta may not be suitable if your project or organization does not have the technical know-how to handle self-hosted environments, as configuration and deployment require specific Docker setup.
Choose openpi if…
- openpi is primarily Python; agenta is TypeScript.
- License: openpi is Apache-2.0, agenta is Other.
- Tags unique to openpi: ubuntu 22.04, fine-tuning, lora, python.
- Also covers Model Training.
- When you have an NVIDIA GPU with at least 8 GB of VRAM for inference or at least 22.5 GB to fine-tune models using LoRA (Low-Rank Adaptation) on a single GPU.
When NOT to use openpi
- When your project is not compatible with Ubuntu 22.04 or if you do not have access to a supported GPU configuration.
- If you need to support multi-node training, as this capability has yet to be implemented in the current version of openpi.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Agenta-AI/agenta) · observed Jul 11, 2026
- GitHub forks (Agenta-AI/agenta) · observed Jul 11, 2026
- Last push (Agenta-AI/agenta) · observed Jul 11, 2026
- License file (Other) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Physical-Intelligence/openpi) · observed Jul 11, 2026
- GitHub forks (Physical-Intelligence/openpi) · observed Jul 11, 2026
- Last push (Physical-Intelligence/openpi) · observed Jun 16, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agenta 4.3k · openpi 13k (synced Jul 11, 2026).
Common questions
- What is the difference between agenta and openpi?
- agenta: The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.. openpi: Repository for running AI models with GPU requirements specified.. See the comparison table for live GitHub stats and shared categories.
- When should I choose agenta over openpi?
- Choose agenta over openpi when agenta is primarily TypeScript; openpi is Python; License: agenta is Other, openpi is Apache-2.0; Tags unique to agenta: llm-framework, llm-monitoring, evaluation, agents; Also covers AI Agents, LLM Frameworks; You should use Agenta if you're working on managing prompts and evaluating the performance of your language models while needing observability features in an open-source environment.
- When should I choose openpi over agenta?
- Choose openpi over agenta when openpi is primarily Python; agenta is TypeScript; License: openpi is Apache-2.0, agenta is Other; Tags unique to openpi: ubuntu 22.04, fine-tuning, lora, python; Also covers Model Training; When you have an NVIDIA GPU with at least 8 GB of VRAM for inference or at least 22.5 GB to fine-tune models using LoRA (Low-Rank Adaptation) on a single GPU.
- When should I avoid agenta?
- Avoid Agenta if you prefer pre-packaged SaaS solutions over DIY open-source deployments; setting up and maintaining can be complex. Agenta may not be suitable if your project or organization does not have the technical know-how to handle self-hosted environments, as configuration and deployment require specific Docker setup.
- When should I avoid openpi?
- When your project is not compatible with Ubuntu 22.04 or if you do not have access to a supported GPU configuration. If you need to support multi-node training, as this capability has yet to be implemented in the current version of openpi.
- Is agenta or openpi more popular on GitHub?
- openpi has more GitHub stars (12,742 vs 4,283). Stars measure visibility, not whether either tool fits your constraints.
- Are agenta and openpi open source?
- Yes - both are open-source projects on GitHub (agenta: Other, openpi: Apache-2.0).
- Where can I find alternatives to agenta or openpi?
- GraphCanon lists graph-backed alternatives at agenta alternatives and openpi alternatives (agenta markdown twin, openpi markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, agenta or openpi?
- agenta: Very active. openpi: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for agenta and openpi?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agenta trust report; openpi trust report.