Comparison
agent-zero vs openpi
Verdict
Pick agent-zero if agent-zero is a Python-based autonomous agent framework that uses Docker for deployment and supports integration with LLM providers such as OpenAI Codex via OAuth; pick openpi if openpi is a specialized tool for model training, inference & serving that leverages advanced GPU capabilities and has specific requirements for memory and hardware configurations.
Markdown twin · agent-zero alternatives · openpi alternatives
GraphCanon updated today
Trust & integrity
| Signal | agent-zero | 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) | 99 low (99 low) As of today · osv@v1 | No lockfile As of today · none |
Tagline
- agent-zero
- Agent Zero AI framework
- openpi
- Repository for running AI models with GPU requirements specified.
Stars
- agent-zero
- 18k
- openpi
- 13k
Forks
- agent-zero
- 3.7k
- openpi
- 2.2k
Open issues
- agent-zero
- 235
- openpi
- 312
Language
- agent-zero
- Python
- openpi
- Python
Adopt for
- agent-zero
- Agent-zero is a Python-based autonomous agent framework that uses Docker for deployment and supports integration with LLM providers such as OpenAI Codex via OAuth.
- 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
- agent-zero
- -
- openpi
- -
Runtime
- agent-zero
- -
- openpi
- -
License
- agent-zero
- Other
- openpi
- Apache-2.0
Last pushed
- agent-zero
- Jul 10, 2026
- openpi
- Jun 16, 2026
Categories
- agent-zero
- AI Agents, Inference & Serving
- openpi
- Model Training, Inference & Serving
Trust and health
Maintenance
- agent-zero
- Very active (96%)
- openpi
- Active (82%)
Days since push
- agent-zero
- 0d
- openpi
- 25d
Open issues (now)
- agent-zero
- 235
- openpi
- 312
Security scan
- agent-zero
- 99 low (99 low)
- openpi
- No lockfile
Full report
- agent-zero
- Trust report
- openpi
- Trust report
Choose agent-zero if…
- License: agent-zero is Other, openpi is Apache-2.0.
- Pricing: The repository does not explicitly state any pricing information..
- Requirements: Requires Docker; Requires Docker setup and can be configured to leverage existing Docker environments..
- Tags unique to agent-zero: assistant, zero, linux, autonomous.
- Also covers AI Agents.
- * When setting up agents in SSH sessions, servers, recovery shells, or requiring scriptable installation processes.
When NOT to use agent-zero
- * When your deployment environment does not support or require Dockerization for agent operations.
- * In scenarios where OAuth-based integration with third-party language model providers is undesirable or impractical.
- * For installations that do not align well with the provided `/a0/usr` directory mapping conventions (e.g., specific data directories are required).
Choose openpi if…
- License: openpi is Apache-2.0, agent-zero 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 (agent0ai/agent-zero) · observed Jul 11, 2026
- GitHub forks (agent0ai/agent-zero) · observed Jul 11, 2026
- Last push (agent0ai/agent-zero) · observed Jul 10, 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: agent-zero 18k · openpi 13k (synced Jul 11, 2026).
Common questions
- What is the difference between agent-zero and openpi?
- agent-zero: Agent Zero AI framework. 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 agent-zero over openpi?
- Choose agent-zero over openpi when License: agent-zero is Other, openpi is Apache-2.0; Pricing: The repository does not explicitly state any pricing information.; Requirements: Requires Docker; Requires Docker setup and can be configured to leverage existing Docker environments.; Tags unique to agent-zero: assistant, zero, linux, autonomous; Also covers AI Agents; * When setting up agents in SSH sessions, servers, recovery shells, or requiring scriptable installation processes.
- When should I choose openpi over agent-zero?
- Choose openpi over agent-zero when License: openpi is Apache-2.0, agent-zero 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 agent-zero?
- * When your deployment environment does not support or require Dockerization for agent operations. * In scenarios where OAuth-based integration with third-party language model providers is undesirable or impractical. * For installations that do not align well with the provided
/a0/usrdirectory mapping conventions (e.g., specific data directories are required). - 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 agent-zero or openpi more popular on GitHub?
- agent-zero has more GitHub stars (18,393 vs 12,742). Stars measure visibility, not whether either tool fits your constraints.
- Are agent-zero and openpi open source?
- Yes - both are open-source projects on GitHub (agent-zero: Other, openpi: Apache-2.0).
- Where can I find alternatives to agent-zero or openpi?
- GraphCanon lists graph-backed alternatives at agent-zero alternatives and openpi alternatives (agent-zero 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, agent-zero or openpi?
- agent-zero: 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 agent-zero and openpi?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-zero trust report; openpi trust report.