Comparison
mcp-agent vs AutoGPT
Verdict
Pick mcp-agent when license: mcp-agent is Apache-2.0, AutoGPT is Other; pick AutoGPT when license: AutoGPT is Other, mcp-agent is Apache-2.0.
Markdown twin · mcp-agent alternatives · AutoGPT alternatives
GraphCanon updated today
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Trust & integrity
| Signal | mcp-agent | AutoGPT |
|---|---|---|
| Maintenance | Slowing (166d since push) As of today · github_public_v1 | Very active (0d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| Security (OSV) | No MCP manifest As of today · mcp_manifest | No lockfile As of 1d · none |
Tagline
- mcp-agent
- Build effective agents using Model Context Protocol and simple workflow patterns
- AutoGPT
- AutoGPT is the vision of accessible AI for everyone, to use and to build on.
Stars
- mcp-agent
- 8.4k
- AutoGPT
- 185k
Forks
- mcp-agent
- 858
- AutoGPT
- 46k
Open issues
- mcp-agent
- 140
- AutoGPT
- 494
Language
- mcp-agent
- Python
- AutoGPT
- Python
Adopt for
- mcp-agent
- -
- 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.
Persona
- mcp-agent
- -
- AutoGPT
- -
Runtime
- mcp-agent
- -
- AutoGPT
- -
License
- mcp-agent
- Apache-2.0
- AutoGPT
- Other
Last pushed
- mcp-agent
- Jan 25, 2026
- AutoGPT
- Jul 11, 2026
Categories
- mcp-agent
- AI Agents, Developer Tools, LLM Frameworks
- AutoGPT
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- mcp-agent
- Slowing (36%)
- AutoGPT
- Very active (96%)
Days since push
- mcp-agent
- 166d
- AutoGPT
- 0d
Open issues (now)
- mcp-agent
- 140
- AutoGPT
- 494
Security scan
- mcp-agent
- No MCP manifest
- AutoGPT
- No lockfile
Full report
- mcp-agent
- Trust report
- AutoGPT
- Trust report
Choose mcp-agent if…
- License: mcp-agent is Apache-2.0, AutoGPT is Other.
- Tags unique to mcp-agent: ai-agents, llms, mcp, model-context-protocol.
- Also covers Developer Tools.
When NOT to use mcp-agent
- Last GitHub push was 167 days ago (slowing maintenance, Jan 25, 2026). Validate activity before betting a new project on mcp-agent.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Choose AutoGPT if…
- License: AutoGPT is Other, mcp-agent is Apache-2.0.
- Tags unique to AutoGPT: agentic-ai, artificial-intelligence, autonomous-agents, claude.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (lastmile-ai/mcp-agent) · observed Jul 11, 2026
- GitHub forks (lastmile-ai/mcp-agent) · observed Jul 11, 2026
- Last push (lastmile-ai/mcp-agent) · observed Jan 25, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: mcp-agent 8.4k · AutoGPT 185k (synced Jul 11, 2026).
Common questions
- What is the difference between mcp-agent and AutoGPT?
- mcp-agent: Build effective agents using Model Context Protocol and simple workflow patterns. AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. See the comparison table for live GitHub stats and shared categories.
- When should I choose mcp-agent over AutoGPT?
- Choose mcp-agent over AutoGPT when License: mcp-agent is Apache-2.0, AutoGPT is Other; Tags unique to mcp-agent: ai-agents, llms, mcp, model-context-protocol; Also covers Developer Tools.
- When should I choose AutoGPT over mcp-agent?
- Choose AutoGPT over mcp-agent when License: AutoGPT is Other, mcp-agent is Apache-2.0; Tags unique to AutoGPT: agentic-ai, artificial-intelligence, autonomous-agents, claude; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
- When should I avoid mcp-agent?
- Last GitHub push was 167 days ago (slowing maintenance, Jan 25, 2026). Validate activity before betting a new project on mcp-agent. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- 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.
- Is mcp-agent or AutoGPT more popular on GitHub?
- AutoGPT has more GitHub stars (185,464 vs 8,417). Stars measure visibility, not whether either tool fits your constraints.
- Are mcp-agent and AutoGPT open source?
- Yes - both are open-source projects on GitHub (mcp-agent: Apache-2.0, AutoGPT: Other).
- Where can I find alternatives to mcp-agent or AutoGPT?
- GraphCanon lists graph-backed alternatives at mcp-agent alternatives and AutoGPT alternatives (mcp-agent markdown twin, AutoGPT 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, mcp-agent or AutoGPT?
- mcp-agent: Slowing. AutoGPT: Very 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 mcp-agent and AutoGPT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mcp-agent trust report; AutoGPT trust report.