Home/Compare/anything-llm vs pmb

Comparison

anything-llm vs pmb

Verdict

Pick anything-llm when anything-llm is primarily JavaScript; pmb is Python; pick pmb when pmb is primarily Python; anything-llm is JavaScript.

Markdown twin · anything-llm alternatives · pmb alternatives

GraphCanon updated today

anything-llm logo

anything-llm

Mintplex-Labs/anything-llm

63kpushed Jul 11, 2026
vs
pmb logo

pmb

oleksiijko/pmb

300pushed Jul 11, 2026

Trust & integrity

Signalanything-llmpmb
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 · Organization account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No MCP manifest
As of today · mcp_manifest

Tagline

anything-llm
Self-hosted agent experience with deployment scripts for multiple environments
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.

Stars

anything-llm
63k
pmb
300

Forks

anything-llm
6.9k
pmb
15

Open issues

anything-llm
320
pmb
5

Language

anything-llm
JavaScript
pmb
Python

Adopt for

anything-llm
Self-hosted AI agent experience with robust deployment scripts across multiple environments.
pmb
-

Persona

anything-llm
-
pmb
-

Runtime

anything-llm
-
pmb
-

License

anything-llm
MIT
pmb
Apache-2.0

Last pushed

anything-llm
Jul 11, 2026
pmb
Jul 11, 2026

Categories

anything-llm
AI Agents, Inference & Serving
pmb
AI Agents, Vector Databases, LLM Frameworks

Trust and health

Open issues (now)

anything-llm
320
pmb
5

Owner type

anything-llm
Organization
pmb
User

Security scan

anything-llm
No lockfile
pmb
No MCP manifest

Full report

anything-llm
Trust report

Choose anything-llm if…

  • anything-llm is primarily JavaScript; pmb is Python.
  • License: anything-llm is MIT, pmb is Apache-2.0.
  • Tags unique to anything-llm: no-code, llm, agentic-ai, agent-computer.
  • Also covers Inference & Serving.
  • When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more.

When NOT to use anything-llm

  • Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments.
  • Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods.

Choose pmb if…

  • pmb is primarily Python; anything-llm is JavaScript.
  • License: pmb is Apache-2.0, anything-llm is MIT.
  • Tags unique to pmb: codex, ai-memory, knowledge-graph, claude-code.
  • Also covers Vector Databases, LLM Frameworks.

When NOT to use pmb

  • 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.
  • 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: anything-llm 63k · pmb 300 (synced Jul 11, 2026).

Common questions

What is the difference between anything-llm and pmb?
anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. 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.. See the comparison table for live GitHub stats and shared categories.
When should I choose anything-llm over pmb?
Choose anything-llm over pmb when anything-llm is primarily JavaScript; pmb is Python; License: anything-llm is MIT, pmb is Apache-2.0; Tags unique to anything-llm: no-code, llm, agentic-ai, agent-computer; Also covers Inference & Serving; When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more.
When should I choose pmb over anything-llm?
Choose pmb over anything-llm when pmb is primarily Python; anything-llm is JavaScript; License: pmb is Apache-2.0, anything-llm is MIT; Tags unique to pmb: codex, ai-memory, knowledge-graph, claude-code; Also covers Vector Databases, LLM Frameworks.
When should I avoid anything-llm?
Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments. Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods.
When should I avoid pmb?
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. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Is anything-llm or pmb more popular on GitHub?
anything-llm has more GitHub stars (63,100 vs 300). Stars measure visibility, not whether either tool fits your constraints.
Are anything-llm and pmb open source?
Yes - both are open-source projects on GitHub (anything-llm: MIT, pmb: Apache-2.0).
Where can I find alternatives to anything-llm or pmb?
GraphCanon lists graph-backed alternatives at anything-llm alternatives and pmb alternatives (anything-llm markdown twin, pmb 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, anything-llm or pmb?
anything-llm: Very active. pmb: 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 anything-llm and pmb?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: anything-llm trust report; pmb trust report.