Home/Compare/AutoGPT vs tma1

Comparison

AutoGPT vs tma1

Verdict

Pick AutoGPT when autoGPT is primarily Python; tma1 is Go; pick tma1 when tma1 is primarily Go; AutoGPT is Python.

Markdown twin · AutoGPT alternatives · tma1 alternatives

GraphCanon updated today

AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

185kpushed Jul 11, 2026
vs
tma1 logo

tma1

tma1-ai/tma1

109pushed Jul 11, 2026

Trust & integrity

SignalAutoGPTtma1
Maintenance
Very active (0d since push)
As of 4d · github_public_v1
Very active (3d 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.
tma1
Local-first observability your agent reads back. TMA1 records every LLM call, then routes what it sees into the agent's next turn via hooks and MCP.

Stars

AutoGPT
185k
tma1
109

Forks

AutoGPT
46k
tma1
12

Open issues

AutoGPT
494
tma1
5

Language

AutoGPT
Python
tma1
Go

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.
tma1
-

Persona

AutoGPT
-
tma1
-

Runtime

AutoGPT
-
tma1
-

License

AutoGPT
Other
tma1
Apache-2.0

Last pushed

AutoGPT
Jul 11, 2026
tma1
Jul 11, 2026

Categories

AutoGPT
AI Agents, LLM Frameworks
tma1
AI Agents, Developer Tools, LLM Frameworks

Trust and health

Days since push

AutoGPT
0d
tma1
3d

Open issues (now)

AutoGPT
494
tma1
5

Full report

Choose AutoGPT if…

  • AutoGPT is primarily Python; tma1 is Go.
  • License: AutoGPT is Other, tma1 is Apache-2.0.
  • Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence.
  • 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 tma1 if…

  • tma1 is primarily Go; AutoGPT is Python.
  • License: tma1 is Apache-2.0, AutoGPT is Other.
  • Tags unique to tma1: agent-loop, agent-observability, ai-agents, claude code.
  • Also covers Developer Tools.

When NOT to use tma1

  • 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: AutoGPT 185k · tma1 109 (synced Jul 11, 2026).

Common questions

What is the difference between AutoGPT and tma1?
AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. tma1: Local-first observability your agent reads back. TMA1 records every LLM call, then routes what it sees into the agent's next turn via hooks and MCP.. See the comparison table for live GitHub stats and shared categories.
When should I choose AutoGPT over tma1?
Choose AutoGPT over tma1 when AutoGPT is primarily Python; tma1 is Go; License: AutoGPT is Other, tma1 is Apache-2.0; Tags unique to AutoGPT: agentic-ai, agents, ai, artificial-intelligence; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
When should I choose tma1 over AutoGPT?
Choose tma1 over AutoGPT when tma1 is primarily Go; AutoGPT is Python; License: tma1 is Apache-2.0, AutoGPT is Other; Tags unique to tma1: agent-loop, agent-observability, ai-agents, claude code; Also covers Developer Tools.
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 tma1?
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.
Is AutoGPT or tma1 more popular on GitHub?
AutoGPT has more GitHub stars (185,464 vs 109). Stars measure visibility, not whether either tool fits your constraints.
Are AutoGPT and tma1 open source?
Yes - both are open-source projects on GitHub (AutoGPT: Other, tma1: Apache-2.0).
Where can I find alternatives to AutoGPT or tma1?
GraphCanon lists graph-backed alternatives at AutoGPT alternatives and tma1 alternatives (AutoGPT markdown twin, tma1 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 tma1?
AutoGPT: Very active. tma1: 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 AutoGPT and tma1?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AutoGPT trust report; tma1 trust report.

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