Home/Compare/Agent-Reach vs CodeGeeX

Comparison

Agent-Reach vs CodeGeeX

Verdict

Pick Agent-Reach when license: Agent-Reach is MIT, CodeGeeX is Apache-2.0; pick CodeGeeX when license: CodeGeeX is Apache-2.0, Agent-Reach is MIT.

Markdown twin · Agent-Reach alternatives · CodeGeeX alternatives

GraphCanon updated today

Agent-Reach logo

Agent-Reach

Panniantong/Agent-Reach

55kpushed Jul 10, 2026
vs
CodeGeeX logo

CodeGeeX

zai-org/CodeGeeX

8.8kpushed Aug 13, 2024

Trust & integrity

SignalAgent-ReachCodeGeeX
Maintenance
Very active (0d since push)
As of today · github_public_v1
Dormant (697d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal 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
85 low (85 low)
As of today · osv@v1

Tagline

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.
CodeGeeX
CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)

Stars

Agent-Reach
55k
CodeGeeX
8.8k

Forks

Agent-Reach
4.5k
CodeGeeX
689

Open issues

Agent-Reach
144
CodeGeeX
188

Language

Agent-Reach
Python
CodeGeeX
Python

Adopt for

Agent-Reach
-
CodeGeeX
-

Persona

Agent-Reach
-
CodeGeeX
-

Runtime

Agent-Reach
-
CodeGeeX
-

License

Agent-Reach
MIT
CodeGeeX
Apache-2.0

Last pushed

Agent-Reach
Jul 10, 2026
CodeGeeX
Aug 13, 2024

Categories

Agent-Reach
AI Agents, Developer Tools, LLM Frameworks
CodeGeeX
Developer Tools, Model Training

Trust and health

Maintenance

Agent-Reach
Very active (96%)
CodeGeeX
Dormant (18%)

Days since push

Agent-Reach
0d
CodeGeeX
697d

Open issues (now)

Agent-Reach
144
CodeGeeX
188

Owner type

Agent-Reach
User
CodeGeeX
Organization

Security scan

Agent-Reach
No MCP manifest
CodeGeeX
85 low (85 low)

Full report

Agent-Reach
Trust report
CodeGeeX
Trust report

Choose Agent-Reach if…

  • License: Agent-Reach is MIT, CodeGeeX is Apache-2.0.
  • Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation.
  • Also covers AI Agents, LLM Frameworks.

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.
  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Choose CodeGeeX if…

  • License: CodeGeeX is Apache-2.0, Agent-Reach is MIT.
  • Tags unique to CodeGeeX: code-generation, pretrained models, python, tools.
  • Also covers Model Training.

When NOT to use CodeGeeX

  • Last GitHub push was 698 days ago (dormant maintenance, Aug 13, 2024). Validate activity before betting a new project on CodeGeeX.
  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: Agent-Reach 55k · CodeGeeX 8.8k (synced Jul 11, 2026).

Common questions

What is the difference between Agent-Reach and CodeGeeX?
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.. CodeGeeX: CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023). See the comparison table for live GitHub stats and shared categories.
When should I choose Agent-Reach over CodeGeeX?
Choose Agent-Reach over CodeGeeX when License: Agent-Reach is MIT, CodeGeeX is Apache-2.0; Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers AI Agents, LLM Frameworks.
When should I choose CodeGeeX over Agent-Reach?
Choose CodeGeeX over Agent-Reach when License: CodeGeeX is Apache-2.0, Agent-Reach is MIT; Tags unique to CodeGeeX: code-generation, pretrained models, python, tools; Also covers Model Training.
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. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
When should I avoid CodeGeeX?
Last GitHub push was 698 days ago (dormant maintenance, Aug 13, 2024). Validate activity before betting a new project on CodeGeeX. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Is Agent-Reach or CodeGeeX more popular on GitHub?
Agent-Reach has more GitHub stars (54,715 vs 8,796). Stars measure visibility, not whether either tool fits your constraints.
Are Agent-Reach and CodeGeeX open source?
Yes - both are open-source projects on GitHub (Agent-Reach: MIT, CodeGeeX: Apache-2.0).
Where can I find alternatives to Agent-Reach or CodeGeeX?
GraphCanon lists graph-backed alternatives at Agent-Reach alternatives and CodeGeeX alternatives (Agent-Reach markdown twin, CodeGeeX 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, Agent-Reach or CodeGeeX?
Agent-Reach: Very active. CodeGeeX: 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 Agent-Reach and CodeGeeX?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Agent-Reach trust report; CodeGeeX trust report.