Comparison
langchain-decorators vs Agent-Reach
Verdict
Pick langchain-decorators when tags unique to langchain-decorators: llm, python, langchain, prompt-engineering; pick Agent-Reach when tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code.
Markdown twin · langchain-decorators alternatives · Agent-Reach alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | langchain-decorators | Agent-Reach |
|---|---|---|
| Maintenance | Steady (84d 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 · Personal account As of today · github_public_v1 |
| Security (OSV) | 64 low (64 low) As of today · osv@v1 | No MCP manifest As of today · mcp_manifest |
Tagline
- langchain-decorators
- syntactic sugar 🍭 for langchain
- 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
- langchain-decorators
- 234
- Agent-Reach
- 55k
Forks
- langchain-decorators
- 12
- Agent-Reach
- 4.5k
Open issues
- langchain-decorators
- 6
- Agent-Reach
- 144
Language
- langchain-decorators
- Python
- Agent-Reach
- Python
Adopt for
- langchain-decorators
- -
- Agent-Reach
- -
Persona
- langchain-decorators
- -
- Agent-Reach
- -
Runtime
- langchain-decorators
- -
- Agent-Reach
- -
License
- langchain-decorators
- MIT
- Agent-Reach
- MIT
Last pushed
- langchain-decorators
- Apr 18, 2026
- Agent-Reach
- Jul 10, 2026
Categories
- langchain-decorators
- LLM Frameworks
- Agent-Reach
- AI Agents, LLM Frameworks, Developer Tools
Trust and health
Maintenance
- langchain-decorators
- Steady (60%)
- Agent-Reach
- Very active (96%)
Days since push
- langchain-decorators
- 84d
- Agent-Reach
- 0d
Open issues (now)
- langchain-decorators
- 6
- Agent-Reach
- 144
Security scan
- langchain-decorators
- 64 low (64 low)
- Agent-Reach
- No MCP manifest
Full report
- langchain-decorators
- Trust report
- Agent-Reach
- Trust report
Choose langchain-decorators if…
- Tags unique to langchain-decorators: llm, python, langchain, prompt-engineering.
- Leaner open-issue backlog (6).
When NOT to use langchain-decorators
- 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 234) - visibility, not fit.
When NOT to use Agent-Reach
- 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.
- 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 (ju-bezdek/langchain-decorators) · observed Jul 11, 2026
- GitHub forks (ju-bezdek/langchain-decorators) · observed Jul 11, 2026
- Last push (ju-bezdek/langchain-decorators) · observed Apr 18, 2026
- 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: langchain-decorators 234 · Agent-Reach 55k (synced Jul 11, 2026).
Common questions
- What is the difference between langchain-decorators and Agent-Reach?
- langchain-decorators: syntactic sugar 🍭 for langchain. 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 langchain-decorators over Agent-Reach?
- Choose langchain-decorators over Agent-Reach when Tags unique to langchain-decorators: llm, python, langchain, prompt-engineering; Leaner open-issue backlog (6).
- When should I choose Agent-Reach over langchain-decorators?
- Choose Agent-Reach over langchain-decorators when Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers AI Agents, Developer Tools; More GitHub stars (55k vs 234) - visibility, not fit.
- When should I avoid langchain-decorators?
- 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?
- 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. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Is langchain-decorators or Agent-Reach more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 234). Stars measure visibility, not whether either tool fits your constraints.
- Are langchain-decorators and Agent-Reach open source?
- Yes - both are open-source projects on GitHub (langchain-decorators: MIT, Agent-Reach: MIT).
- Where can I find alternatives to langchain-decorators or Agent-Reach?
- GraphCanon lists graph-backed alternatives at langchain-decorators alternatives and Agent-Reach alternatives (langchain-decorators 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, langchain-decorators or Agent-Reach?
- langchain-decorators: Steady. 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 langchain-decorators and Agent-Reach?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langchain-decorators trust report; Agent-Reach trust report.