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Comparison

kong vs Agent-Reach

Verdict

Pick kong when kong is primarily Lua; Agent-Reach is Python; pick Agent-Reach when agent-Reach is primarily Python; kong is Lua.

Markdown twin · kong alternatives · Agent-Reach alternatives

GraphCanon updated today

kong logo

kong

Kong/kong

★ 44kpushed Jul 1, 2026
vs
Agent-Reach logo

Agent-Reach

Panniantong/Agent-Reach

★ 55kpushed Jul 10, 2026

Trust & integrity

SignalkongAgent-Reach
Maintenance
Active (10d 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 MCP manifest
As of today · mcp_manifest
No MCP manifest
As of today · mcp_manifest
kong trust reportAgent-Reach trust reportTrust methodology

Tagline

kong
🦍 The API and AI Gateway
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

kong
44k
Agent-Reach
55k

Forks

kong
5.2k
Agent-Reach
4.5k

Open issues

kong
155
Agent-Reach
144

Language

kong
Lua
Agent-Reach
Python

Adopt for

kong
-
Agent-Reach
-

Persona

kong
-
Agent-Reach
-

Runtime

kong
-
Agent-Reach
-

License

kong
Apache-2.0
Agent-Reach
MIT

Last pushed

kong
Jul 1, 2026
Agent-Reach
Jul 10, 2026

Categories

kong
LLM Frameworks, Developer Tools
Agent-Reach
LLM Frameworks, AI Agents, Developer Tools

Trust and health

Maintenance

kong
Active (82%)
Agent-Reach
Very active (96%)

Days since push

kong
10d
Agent-Reach
0d

Open issues (now)

kong
155
Agent-Reach
144

Owner type

kong
Organization
Agent-Reach
User

Full report

kong
Trust report
Agent-Reach
Trust report

Choose kong if…

  • kong is primarily Lua; Agent-Reach is Python.
  • License: kong is Apache-2.0, Agent-Reach is MIT.
  • Tags unique to kong: api-management, cloud-native, ai, artificial-intelligence.

When NOT to use kong

  • 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.
GitHubDetails

Choose Agent-Reach if…

  • Agent-Reach is primarily Python; kong is Lua.
  • License: Agent-Reach is MIT, kong is Apache-2.0.
  • Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code.
  • Also covers AI Agents.

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.
GitHubDetails

Explore

kong trust report →Agent-Reach trust report →LLM Frameworks category →Developer Tools category →AI Agents 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: kong 44k · Agent-Reach 55k (synced Jul 11, 2026).

Common questions

What is the difference between kong and Agent-Reach?
kong: 🦍 The API and AI Gateway. 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 kong over Agent-Reach?
Choose kong over Agent-Reach when kong is primarily Lua; Agent-Reach is Python; License: kong is Apache-2.0, Agent-Reach is MIT; Tags unique to kong: api-management, cloud-native, ai, artificial-intelligence.
When should I choose Agent-Reach over kong?
Choose Agent-Reach over kong when Agent-Reach is primarily Python; kong is Lua; License: Agent-Reach is MIT, kong is Apache-2.0; Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers AI Agents.
When should I avoid kong?
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.
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 kong or Agent-Reach more popular on GitHub?
Agent-Reach has more GitHub stars (54,715 vs 43,768). Stars measure visibility, not whether either tool fits your constraints.
Are kong and Agent-Reach open source?
Yes - both are open-source projects on GitHub (kong: Apache-2.0, Agent-Reach: MIT).
Where can I find alternatives to kong or Agent-Reach?
GraphCanon lists graph-backed alternatives at kong alternatives and Agent-Reach alternatives (kong 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, kong or Agent-Reach?
kong: Active. 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 kong and Agent-Reach?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: kong trust report; Agent-Reach trust report.