Comparison
openagent vs AutoAgent
Verdict
Pick openagent if openAgent integrates OpenAI and Dify, focusing on deep reasoning loops, visual workflows, RAG, and agent delegation in Python under MIT license; pick AutoAgent if autoAgent is a framework designed for creating automated AI agents using large language models in a zero-code, fully-automated environment. It operates with Python and uses Docker to manage agent-interaction environments.
Markdown twin · openagent alternatives · AutoAgent alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | openagent | AutoAgent |
|---|---|---|
| Maintenance | Steady (34d since push) As of 1d · github_public_v1 | Slowing (307d since push) As of 2d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1d · github_public_v1 | Not a fork · Organization account As of 2d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1w · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- openagent
- Harness architecture for rapidly building vertical AI agents
- AutoAgent
- Fully-Automated and Zero-Code LLM Agent Framework
Stars
- openagent
- 792
- AutoAgent
- 9.7k
Forks
- openagent
- 80
- AutoAgent
- 1.4k
Open issues
- openagent
- 46
- AutoAgent
- 68
Language
- openagent
- Python
- AutoAgent
- Python
Adopt for
- openagent
- OpenAgent integrates OpenAI and Dify, focusing on deep reasoning loops, visual workflows, RAG, and agent delegation in Python under MIT license.
- AutoAgent
- AutoAgent is a framework designed for creating automated AI agents using large language models in a zero-code, fully-automated environment. It operates with Python and uses Docker to manage agent-interaction environments
Persona
- openagent
- -
- AutoAgent
- -
Runtime
- openagent
- -
- AutoAgent
- -
License
- openagent
- MIT
- AutoAgent
- MIT
Last pushed
- openagent
- Jul 17, 2026
- AutoAgent
- Oct 16, 2025
Categories
- openagent
- AI Agents, Data & Retrieval, Vector Databases
- AutoAgent
- AI Agents
Trust and health
Maintenance
- openagent
- Steady (60%)
- AutoAgent
- Slowing (36%)
Days since push
- openagent
- 34d
- AutoAgent
- 307d
Open issues (now)
- openagent
- 46
- AutoAgent
- 68
Stars delta
- openagent
- +21 (30d)
- AutoAgent
- +242 (30d)
Open issues delta
- openagent
- +1 (30d)
- AutoAgent
- -1 (30d)
Owner type
- openagent
- User
- AutoAgent
- Organization
Full report
- openagent
- Trust report
- AutoAgent
- Trust report
Typed relationship
openagent alternative AutoAgentBoth frameworks aim to simplify the development of end-to-end AI agents, but they may have different features or capabilities.
Choose openagent if…
- Both frameworks aim to simplify the development of end-to-end AI agents, but they may have different features or capabilities.
- Tags unique to openagent: ai, celery, deepagents, deepresearch.
- Also covers Data & Retrieval, Vector Databases.
- Need integration of OpenAI and Dify functionalities.
When NOT to use openagent
- Projects requiring only basic AI functionality without deep reasoning loops or RAG.
- Teams preferring non-Python environments for AI agent development.
Choose AutoAgent if…
- Both frameworks aim to simplify the development of end-to-end AI agents, but they may have different features or capabilities.
- Tags unique to AutoAgent: llms.
- Use AutoAgent when you aim to leverage LLMs in an automation setting without needing any coding experience.
When NOT to use AutoAgent
- Avoid AutoAgent if your project requires customization or modification of the underlying agent framework code directly.
- Do not use AutoAgent when you require real-time performance and low latency operation since its automatic Docker image handling can cause delays in deployment.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Haohao-end/openagent) · observed Aug 21, 2026
- GitHub forks (Haohao-end/openagent) · observed Aug 21, 2026
- Last push (Haohao-end/openagent) · observed Jul 17, 2026
- License file (MIT) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Aug 9, 2026
- GitHub stars (HKUDS/AutoAgent) · observed Aug 19, 2026
- GitHub forks (HKUDS/AutoAgent) · observed Aug 19, 2026
- Last push (HKUDS/AutoAgent) · observed Oct 16, 2025
- License file (MIT) · observed Aug 19, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: openagent 792 · AutoAgent 9.7k (synced Aug 21, 2026).
Common questions
- What is the difference between openagent and AutoAgent?
- openagent: Harness architecture for rapidly building vertical AI agents. AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework. See the comparison table for live GitHub stats and shared categories.
- When should I choose openagent over AutoAgent?
- Choose openagent over AutoAgent when Both frameworks aim to simplify the development of end-to-end AI agents, but they may have different features or capabilities; Tags unique to openagent: ai, celery, deepagents, deepresearch; Also covers Data & Retrieval, Vector Databases; Need integration of OpenAI and Dify functionalities.
- When should I choose AutoAgent over openagent?
- Choose AutoAgent over openagent when Both frameworks aim to simplify the development of end-to-end AI agents, but they may have different features or capabilities; Tags unique to AutoAgent: llms; Use AutoAgent when you aim to leverage LLMs in an automation setting without needing any coding experience.
- When should I avoid openagent?
- Projects requiring only basic AI functionality without deep reasoning loops or RAG. Teams preferring non-Python environments for AI agent development.
- When should I avoid AutoAgent?
- Avoid AutoAgent if your project requires customization or modification of the underlying agent framework code directly. Do not use AutoAgent when you require real-time performance and low latency operation since its automatic Docker image handling can cause delays in deployment.
- Is openagent or AutoAgent more popular on GitHub?
- AutoAgent has more GitHub stars (9,738 vs 792). Stars measure visibility, not whether either tool fits your constraints.
- Are openagent and AutoAgent open source?
- Yes - both are open-source projects on GitHub (openagent: MIT, AutoAgent: MIT).
- Where can I find alternatives to openagent or AutoAgent?
- GraphCanon lists graph-backed alternatives at openagent alternatives and AutoAgent alternatives (openagent markdown twin, AutoAgent 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, openagent or AutoAgent?
- openagent: Steady. AutoAgent: Slowing. 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 openagent and AutoAgent?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: openagent trust report; AutoAgent trust report.