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Comparison

AstrBot vs LLFn

Verdict

Pick AstrBot when license: AstrBot is AGPL-3.0, LLFn is MIT; pick LLFn when license: LLFn is MIT, AstrBot is AGPL-3.0.

Markdown twin · AstrBot alternatives · LLFn alternatives

GraphCanon updated today

AstrBot logo

AstrBot

AstrBotDevs/AstrBot

★ 36kpushed Jul 9, 2026
vs
LLFn logo

LLFn

orgexyz/LLFn

★ 96pushed Jul 30, 2023

Trust & integrity

SignalAstrBotLLFn
Maintenance
Very active (2d since push)
As of today · github_public_v1
Dormant (1076d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization 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
AstrBot trust reportLLFn trust reportTrust methodology

Tagline

AstrBot
AI Agent Assistant & development framework that integrates lots of IM platforms, LLMs, plugins and AI feature
LLFn
A light-weight framework for creating applications using LLMs

Stars

AstrBot
36k
LLFn
96

Forks

AstrBot
2.5k
LLFn
7

Open issues

AstrBot
1.3k
LLFn
1

Language

AstrBot
Python
LLFn
Python

Adopt for

AstrBot
AstrBot is an AI agent assistant and development framework that integrates multiple instant messaging platforms with various language models and plugins under the AGPL-3.0 license.
LLFn
-

Persona

AstrBot
-
LLFn
-

Runtime

AstrBot
-
LLFn
-

License

AstrBot
AGPL-3.0
LLFn
MIT

Last pushed

AstrBot
Jul 9, 2026
LLFn
Jul 30, 2023

Categories

AstrBot
AI Agents, LLM Frameworks
LLFn
LLM Frameworks

Trust and health

Maintenance

AstrBot
Very active (96%)
LLFn
Dormant (18%)

Days since push

AstrBot
2d
LLFn
1076d

Open issues (now)

AstrBot
1.3k
LLFn
1

Security scan

AstrBot
No MCP manifest
LLFn
No lockfile

Full report

AstrBot
Trust report
LLFn
Trust report

Choose AstrBot if…

  • License: AstrBot is AGPL-3.0, LLFn is MIT.
  • Tags unique to AstrBot: ai, gemini, docker, discord.
  • Also covers AI Agents.
  • AstrBot ships Docker support for self-hosted deployment.
  • When you require a highly integrative environment where your AI agents can communicate across different instant messaging platforms like Discord, Telegram, QQ, and others.

When NOT to use AstrBot

  • If you are looking for proprietary solutions or do not want to comply with the AGPL-3.0 open-source license requirements, as AstrBot might not suit businesses preferring closed development.
  • In scenarios where a very streamlined or simple AI agent without extensive plugin and platform customizability is required due to time constraints or a specific project scope that does not need broad,
  • +adaptability.
GitHubDetails

Choose LLFn if…

  • License: LLFn is MIT, AstrBot is AGPL-3.0.
  • Tags unique to LLFn: python.
  • Leaner open-issue backlog (1).

When NOT to use LLFn

  • Last GitHub push was 1077 days ago (dormant maintenance, Jul 30, 2023). Validate activity before betting a new project on LLFn.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
GitHubDetails

Explore

AstrBot trust report →LLFn trust report →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: AstrBot 36k · LLFn 96 (synced Jul 11, 2026).

Common questions

What is the difference between AstrBot and LLFn?
AstrBot: AI Agent Assistant & development framework that integrates lots of IM platforms, LLMs, plugins and AI feature. LLFn: A light-weight framework for creating applications using LLMs. See the comparison table for live GitHub stats and shared categories.
When should I choose AstrBot over LLFn?
Choose AstrBot over LLFn when License: AstrBot is AGPL-3.0, LLFn is MIT; Tags unique to AstrBot: ai, gemini, docker, discord; Also covers AI Agents; AstrBot ships Docker support for self-hosted deployment; When you require a highly integrative environment where your AI agents can communicate across different instant messaging platforms like Discord, Telegram, QQ, and others.
When should I choose LLFn over AstrBot?
Choose LLFn over AstrBot when License: LLFn is MIT, AstrBot is AGPL-3.0; Tags unique to LLFn: python; Leaner open-issue backlog (1).
When should I avoid AstrBot?
If you are looking for proprietary solutions or do not want to comply with the AGPL-3.0 open-source license requirements, as AstrBot might not suit businesses preferring closed development. In scenarios where a very streamlined or simple AI agent without extensive plugin and platform customizability is required due to time constraints or a specific project scope that does not need broad, +adaptability.
When should I avoid LLFn?
Last GitHub push was 1077 days ago (dormant maintenance, Jul 30, 2023). Validate activity before betting a new project on LLFn. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Is AstrBot or LLFn more popular on GitHub?
AstrBot has more GitHub stars (36,186 vs 96). Stars measure visibility, not whether either tool fits your constraints.
Are AstrBot and LLFn open source?
Yes - both are open-source projects on GitHub (AstrBot: AGPL-3.0, LLFn: MIT).
Where can I find alternatives to AstrBot or LLFn?
GraphCanon lists graph-backed alternatives at AstrBot alternatives and LLFn alternatives (AstrBot markdown twin, LLFn 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, AstrBot or LLFn?
AstrBot: Very active. LLFn: Dormant. 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 AstrBot and LLFn?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AstrBot trust report; LLFn trust report.