Comparison
LLFn vs Agent-Reach
Verdict
Pick LLFn when tags unique to LLFn: python; pick Agent-Reach when tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code.
Markdown twin · LLFn alternatives · Agent-Reach alternatives
GraphCanon updated today
Trust & integrity
| Signal | LLFn | Agent-Reach |
|---|---|---|
| Maintenance | Dormant (1076d 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
- LLFn
- A light-weight framework for creating applications using LLMs
- Agent-Reach
- Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
Stars
- LLFn
- 96
- Agent-Reach
- 55k
Forks
- LLFn
- 7
- Agent-Reach
- 4.5k
Open issues
- LLFn
- 1
- Agent-Reach
- 144
Language
- LLFn
- Python
- Agent-Reach
- Python
Adopt for
- LLFn
- -
- Agent-Reach
- -
Persona
- LLFn
- -
- Agent-Reach
- -
Runtime
- LLFn
- -
- Agent-Reach
- -
License
- LLFn
- MIT
- Agent-Reach
- MIT
Last pushed
- LLFn
- Jul 30, 2023
- Agent-Reach
- Jul 10, 2026
Categories
- LLFn
- LLM Frameworks
- Agent-Reach
- LLM Frameworks, AI Agents, Developer Tools
Trust and health
Maintenance
- LLFn
- Dormant (18%)
- Agent-Reach
- Very active (96%)
Days since push
- LLFn
- 1076d
- Agent-Reach
- 0d
Open issues (now)
- LLFn
- 1
- Agent-Reach
- 144
Owner type
- LLFn
- Organization
- Agent-Reach
- User
Security scan
- LLFn
- No lockfile
- Agent-Reach
- No MCP manifest
Full report
- LLFn
- Trust report
- Agent-Reach
- Trust report
Choose LLFn if…
- 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.
Choose Agent-Reach if…
- Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code.
- Also covers AI Agents, Developer Tools.
- More GitHub stars (55k vs 96) - visibility, not fit.
When NOT to use Agent-Reach
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (orgexyz/LLFn) · observed Jul 11, 2026
- GitHub forks (orgexyz/LLFn) · observed Jul 11, 2026
- Last push (orgexyz/LLFn) · observed Jul 30, 2023
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Panniantong/Agent-Reach) · observed Jul 11, 2026
- GitHub forks (Panniantong/Agent-Reach) · observed Jul 11, 2026
- Last push (Panniantong/Agent-Reach) · observed Jul 10, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: LLFn 96 · Agent-Reach 55k (synced Jul 11, 2026).
Common questions
- What is the difference between LLFn and Agent-Reach?
- LLFn: A light-weight framework for creating applications using LLMs. Agent-Reach: Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.. See the comparison table for live GitHub stats and shared categories.
- When should I choose LLFn over Agent-Reach?
- Choose LLFn over Agent-Reach when Tags unique to LLFn: python; Leaner open-issue backlog (1).
- When should I choose Agent-Reach over LLFn?
- Choose Agent-Reach over LLFn when Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers AI Agents, Developer Tools; More GitHub stars (55k vs 96) - visibility, not fit.
- 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.
- When should I avoid Agent-Reach?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. 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.
- Is LLFn or Agent-Reach more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 96). Stars measure visibility, not whether either tool fits your constraints.
- Are LLFn and Agent-Reach open source?
- Yes - both are open-source projects on GitHub (LLFn: MIT, Agent-Reach: MIT).
- Where can I find alternatives to LLFn or Agent-Reach?
- GraphCanon lists graph-backed alternatives at LLFn alternatives and Agent-Reach alternatives (LLFn markdown twin, Agent-Reach 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, LLFn or Agent-Reach?
- LLFn: Dormant. Agent-Reach: 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 LLFn and Agent-Reach?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LLFn trust report; Agent-Reach trust report.