Comparison
chatgpt-plugin-eval vs Agent-Reach
Verdict
Pick chatgpt-plugin-eval when chatgpt-plugin-eval is primarily HTML; Agent-Reach is Python; pick Agent-Reach when agent-Reach is primarily Python; chatgpt-plugin-eval is HTML.
Markdown twin · chatgpt-plugin-eval alternatives · Agent-Reach alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | chatgpt-plugin-eval | Agent-Reach |
|---|---|---|
| Maintenance | Dormant (712d 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
- chatgpt-plugin-eval
- LLM Platform Security: Applying a Systematic Evaluation Framework to OpenAI's ChatGPT Plugins
- 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
- chatgpt-plugin-eval
- 29
- Agent-Reach
- 55k
Forks
- chatgpt-plugin-eval
- 7
- Agent-Reach
- 4.5k
Open issues
- chatgpt-plugin-eval
- 1
- Agent-Reach
- 144
Language
- chatgpt-plugin-eval
- HTML
- Agent-Reach
- Python
Adopt for
- chatgpt-plugin-eval
- -
- Agent-Reach
- -
Persona
- chatgpt-plugin-eval
- -
- Agent-Reach
- -
Runtime
- chatgpt-plugin-eval
- -
- Agent-Reach
- -
License
- chatgpt-plugin-eval
- -
- Agent-Reach
- MIT
Last pushed
- chatgpt-plugin-eval
- Jul 29, 2024
- Agent-Reach
- Jul 10, 2026
Categories
- chatgpt-plugin-eval
- LLM Frameworks, Inference & Serving, Evaluation & Observability
- Agent-Reach
- LLM Frameworks, AI Agents, Developer Tools
Trust and health
Maintenance
- chatgpt-plugin-eval
- Dormant (18%)
- Agent-Reach
- Very active (96%)
Days since push
- chatgpt-plugin-eval
- 712d
- Agent-Reach
- 0d
Open issues (now)
- chatgpt-plugin-eval
- 1
- Agent-Reach
- 144
Owner type
- chatgpt-plugin-eval
- Organization
- Agent-Reach
- User
Security scan
- chatgpt-plugin-eval
- No lockfile
- Agent-Reach
- No MCP manifest
Full report
- chatgpt-plugin-eval
- Trust report
- Agent-Reach
- Trust report
Choose chatgpt-plugin-eval if…
- chatgpt-plugin-eval is primarily HTML; Agent-Reach is Python.
- Tags unique to chatgpt-plugin-eval: llm, llm-privacy, llm-platform, chatgpt-plugins.
- Also covers Inference & Serving, Evaluation & Observability.
When NOT to use chatgpt-plugin-eval
- Last GitHub push was 712 days ago (dormant maintenance, Jul 29, 2024). Validate activity before betting a new project on chatgpt-plugin-eval.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
Choose Agent-Reach if…
- Agent-Reach is primarily Python; chatgpt-plugin-eval is HTML.
- Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code.
- Also covers AI Agents, Developer Tools.
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 (llm-platform-security/chatgpt-plugin-eval) · observed Jul 11, 2026
- GitHub forks (llm-platform-security/chatgpt-plugin-eval) · observed Jul 11, 2026
- Last push (llm-platform-security/chatgpt-plugin-eval) · observed Jul 29, 2024
- License file (unknown) · 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: chatgpt-plugin-eval 29 · Agent-Reach 55k (synced Jul 11, 2026).
Common questions
- What is the difference between chatgpt-plugin-eval and Agent-Reach?
- chatgpt-plugin-eval: LLM Platform Security: Applying a Systematic Evaluation Framework to OpenAI's ChatGPT Plugins. 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 chatgpt-plugin-eval over Agent-Reach?
- Choose chatgpt-plugin-eval over Agent-Reach when chatgpt-plugin-eval is primarily HTML; Agent-Reach is Python; Tags unique to chatgpt-plugin-eval: llm, llm-privacy, llm-platform, chatgpt-plugins; Also covers Inference & Serving, Evaluation & Observability.
- When should I choose Agent-Reach over chatgpt-plugin-eval?
- Choose Agent-Reach over chatgpt-plugin-eval when Agent-Reach is primarily Python; chatgpt-plugin-eval is HTML; Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers AI Agents, Developer Tools.
- When should I avoid chatgpt-plugin-eval?
- Last GitHub push was 712 days ago (dormant maintenance, Jul 29, 2024). Validate activity before betting a new project on chatgpt-plugin-eval. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- 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 chatgpt-plugin-eval or Agent-Reach more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 29). Stars measure visibility, not whether either tool fits your constraints.
- Are chatgpt-plugin-eval and Agent-Reach open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to chatgpt-plugin-eval or Agent-Reach?
- GraphCanon lists graph-backed alternatives at chatgpt-plugin-eval alternatives and Agent-Reach alternatives (chatgpt-plugin-eval 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, chatgpt-plugin-eval or Agent-Reach?
- chatgpt-plugin-eval: 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 chatgpt-plugin-eval and Agent-Reach?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: chatgpt-plugin-eval trust report; Agent-Reach trust report.