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Comparison

pmb vs AutoGPT

Verdict

Pick pmb when license: pmb is Apache-2.0, AutoGPT is Other; pick AutoGPT when license: AutoGPT is Other, pmb is Apache-2.0.

Markdown twin · pmb alternatives · AutoGPT alternatives

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pmb logo

pmb

oleksiijko/pmb

★ 300pushed Jul 11, 2026
vs
AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

★ 185kpushed Jul 11, 2026

Trust & integrity

SignalpmbAutoGPT
Maintenance
Very active (0d since push)
As of today · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No MCP manifest
As of today · mcp_manifest
No lockfile
As of today · none
pmb trust reportAutoGPT trust reportTrust methodology

Tagline

pmb
Local-first persistent memory for AI coding agents (Claude Code, Cursor, Codex) over MCP. Decisions, lessons and facts live in one SQLite file on your disk. Offline, multilingual.
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on.

Stars

pmb
300
AutoGPT
185k

Forks

pmb
15
AutoGPT
46k

Open issues

pmb
5
AutoGPT
494

Language

pmb
Python
AutoGPT
Python

Adopt for

pmb
-
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

pmb
-
AutoGPT
-

Runtime

pmb
-
AutoGPT
-

License

pmb
Apache-2.0
AutoGPT
Other

Last pushed

pmb
Jul 11, 2026
AutoGPT
Jul 11, 2026

Categories

pmb
Vector Databases, AI Agents, LLM Frameworks
AutoGPT
AI Agents, LLM Frameworks

Trust and health

Open issues (now)

pmb
5
AutoGPT
494

Owner type

pmb
User
AutoGPT
Organization

Security scan

pmb
No MCP manifest
AutoGPT
No lockfile

Full report

pmb
Trust report
AutoGPT
Trust report

Choose pmb if…

  • License: pmb is Apache-2.0, AutoGPT is Other.
  • Tags unique to pmb: codex, ai-memory, knowledge-graph, claude-code.
  • Also covers Vector Databases.

When NOT to use pmb

  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
GitHubDetails

Choose AutoGPT if…

  • License: AutoGPT is Other, pmb is Apache-2.0.
  • Tags unique to AutoGPT: agents, llm, 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.
GitHubDetails

Explore

pmb trust report →AutoGPT trust report →Vector Databases category →AI Agents category →LLM Frameworks category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: pmb 300 · AutoGPT 185k (synced Jul 11, 2026).

Common questions

What is the difference between pmb and AutoGPT?
pmb: Local-first persistent memory for AI coding agents (Claude Code, Cursor, Codex) over MCP. Decisions, lessons and facts live in one SQLite file on your disk. Offline, multilingual.. 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 pmb over AutoGPT?
Choose pmb over AutoGPT when License: pmb is Apache-2.0, AutoGPT is Other; Tags unique to pmb: codex, ai-memory, knowledge-graph, claude-code; Also covers Vector Databases.
When should I choose AutoGPT over pmb?
Choose AutoGPT over pmb when License: AutoGPT is Other, pmb is Apache-2.0; Tags unique to AutoGPT: agents, llm, 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 avoid pmb?
Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. 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 pmb or AutoGPT more popular on GitHub?
AutoGPT has more GitHub stars (185,464 vs 300). Stars measure visibility, not whether either tool fits your constraints.
Are pmb and AutoGPT open source?
Yes - both are open-source projects on GitHub (pmb: Apache-2.0, AutoGPT: Other).
Where can I find alternatives to pmb or AutoGPT?
GraphCanon lists graph-backed alternatives at pmb alternatives and AutoGPT alternatives (pmb 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, pmb or AutoGPT?
pmb: Very active. 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 pmb and AutoGPT?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: pmb trust report; AutoGPT trust report.