Comparison
AutoGPT vs agent-toolkit
Verdict
Pick AutoGPT when license: AutoGPT is Other, agent-toolkit is MIT; pick agent-toolkit when license: agent-toolkit is MIT, AutoGPT is Other.
Markdown twin · AutoGPT alternatives · agent-toolkit alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | AutoGPT | agent-toolkit |
|---|---|---|
| Maintenance | Very active (0d since push) As of 4d · github_public_v1 | Slowing (131d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 4d · osv@v1 | No lockfile (source not queried) As of today · 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
- AutoGPT
- AutoGPT is the vision of accessible AI for everyone, to use and to build on.
- agent-toolkit
- A curated collection of skills for AI coding agents. Skills are packaged instructions and scripts that extend agent capabilities across development, documentation, planning, and professional workflows
Stars
- AutoGPT
- 185k
- agent-toolkit
- 2.2k
Forks
- AutoGPT
- 46k
- agent-toolkit
- 210
Open issues
- AutoGPT
- 494
- agent-toolkit
- 18
Language
- AutoGPT
- Python
- agent-toolkit
- Python
Adopt for
- AutoGPT
- AutoGPT is a Python-based tool for creating accessible autonomous AI agents that can leverage various LLM APIs including OpenAI's GPT and Anthropic's Claude.
- agent-toolkit
- -
Persona
- AutoGPT
- -
- agent-toolkit
- -
Runtime
- AutoGPT
- -
- agent-toolkit
- -
License
- AutoGPT
- Other
- agent-toolkit
- MIT
Last pushed
- AutoGPT
- Jul 11, 2026
- agent-toolkit
- Mar 5, 2026
Categories
- AutoGPT
- AI Agents, LLM Frameworks
- agent-toolkit
- AI Agents, Vector Databases
Trust and health
Maintenance
- AutoGPT
- Very active (96%)
- agent-toolkit
- Slowing (36%)
Days since push
- AutoGPT
- 0d
- agent-toolkit
- 131d
Open issues (now)
- AutoGPT
- 494
- agent-toolkit
- 18
Full report
- AutoGPT
- Trust report
- agent-toolkit
- Trust report
Choose AutoGPT if…
- License: AutoGPT is Other, agent-toolkit is MIT.
- Tags unique to AutoGPT: agentic-ai, agents, artificial-intelligence, autonomous-agents.
- Also covers LLM Frameworks.
- When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
When NOT to use AutoGPT
- Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework.
- If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools.
Choose agent-toolkit if…
- License: agent-toolkit is MIT, AutoGPT is Other.
- Tags unique to agent-toolkit: agent-skills, automation, claude code, coding-agent.
- Also covers Vector Databases.
When NOT to use agent-toolkit
- Last GitHub push was 131 days ago (slowing maintenance, Mar 5, 2026). Validate activity before betting a new project on agent-toolkit.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Significant-Gravitas/AutoGPT) · observed Jul 11, 2026
- GitHub forks (Significant-Gravitas/AutoGPT) · observed Jul 11, 2026
- Last push (Significant-Gravitas/AutoGPT) · 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 (softaworks/agent-toolkit) · observed Jul 15, 2026
- GitHub forks (softaworks/agent-toolkit) · observed Jul 15, 2026
- Last push (softaworks/agent-toolkit) · observed Mar 5, 2026
- License file (MIT) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: AutoGPT 185k · agent-toolkit 2.2k (synced Jul 11, 2026).
Common questions
- What is the difference between AutoGPT and agent-toolkit?
- AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. agent-toolkit: A curated collection of skills for AI coding agents. Skills are packaged instructions and scripts that extend agent capabilities across development, documentation, planning, and professional workflows. See the comparison table for live GitHub stats and shared categories.
- When should I choose AutoGPT over agent-toolkit?
- Choose AutoGPT over agent-toolkit when License: AutoGPT is Other, agent-toolkit is MIT; Tags unique to AutoGPT: agentic-ai, agents, artificial-intelligence, autonomous-agents; Also covers LLM Frameworks; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
- When should I choose agent-toolkit over AutoGPT?
- Choose agent-toolkit over AutoGPT when License: agent-toolkit is MIT, AutoGPT is Other; Tags unique to agent-toolkit: agent-skills, automation, claude code, coding-agent; Also covers Vector Databases.
- When should I avoid AutoGPT?
- Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework. If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools.
- When should I avoid agent-toolkit?
- Last GitHub push was 131 days ago (slowing maintenance, Mar 5, 2026). Validate activity before betting a new project on agent-toolkit. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Is AutoGPT or agent-toolkit more popular on GitHub?
- AutoGPT has more GitHub stars (185,464 vs 2,190). Stars measure visibility, not whether either tool fits your constraints.
- Are AutoGPT and agent-toolkit open source?
- Yes - both are open-source projects on GitHub (AutoGPT: Other, agent-toolkit: MIT).
- Where can I find alternatives to AutoGPT or agent-toolkit?
- GraphCanon lists graph-backed alternatives at AutoGPT alternatives and agent-toolkit alternatives (AutoGPT markdown twin, agent-toolkit 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, AutoGPT or agent-toolkit?
- AutoGPT: Very active. agent-toolkit: 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 AutoGPT and agent-toolkit?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AutoGPT trust report; agent-toolkit trust report.