Comparison
MultiPL-E vs Agent-Reach
Verdict
Pick MultiPL-E when license: MultiPL-E is Other, Agent-Reach is MIT; pick Agent-Reach when license: Agent-Reach is MIT, MultiPL-E is Other.
Markdown twin · MultiPL-E alternatives · Agent-Reach alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | MultiPL-E | Agent-Reach |
|---|---|---|
| Maintenance | Slowing (90d 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
- MultiPL-E
- A multi-programming language benchmark for 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
- MultiPL-E
- 311
- Agent-Reach
- 55k
Forks
- MultiPL-E
- 57
- Agent-Reach
- 4.5k
Open issues
- MultiPL-E
- 16
- Agent-Reach
- 144
Language
- MultiPL-E
- Python
- Agent-Reach
- Python
Adopt for
- MultiPL-E
- -
- Agent-Reach
- -
Persona
- MultiPL-E
- -
- Agent-Reach
- -
Runtime
- MultiPL-E
- -
- Agent-Reach
- -
License
- MultiPL-E
- Other
- Agent-Reach
- MIT
Last pushed
- MultiPL-E
- Apr 12, 2026
- Agent-Reach
- Jul 10, 2026
Categories
- MultiPL-E
- Evaluation & Observability, LLM Frameworks, Model Training
- Agent-Reach
- AI Agents, Developer Tools, LLM Frameworks
Trust and health
Maintenance
- MultiPL-E
- Slowing (36%)
- Agent-Reach
- Very active (96%)
Days since push
- MultiPL-E
- 90d
- Agent-Reach
- 0d
Open issues (now)
- MultiPL-E
- 16
- Agent-Reach
- 144
Owner type
- MultiPL-E
- Organization
- Agent-Reach
- User
Security scan
- MultiPL-E
- No lockfile
- Agent-Reach
- No MCP manifest
Full report
- MultiPL-E
- Trust report
- Agent-Reach
- Trust report
Choose MultiPL-E if…
- License: MultiPL-E is Other, Agent-Reach is MIT.
- Tags unique to MultiPL-E: python.
- Also covers Evaluation & Observability, Model Training.
When NOT to use MultiPL-E
- Last GitHub push was 90 days ago (slowing maintenance, Apr 12, 2026). Validate activity before betting a new project on MultiPL-E.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Choose Agent-Reach if…
- License: Agent-Reach is MIT, MultiPL-E is Other.
- Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation.
- Also covers AI Agents, Developer Tools.
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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (nuprl/MultiPL-E) · observed Jul 11, 2026
- GitHub forks (nuprl/MultiPL-E) · observed Jul 11, 2026
- Last push (nuprl/MultiPL-E) · observed Apr 12, 2026
- License file (Other) · 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: MultiPL-E 311 · Agent-Reach 55k (synced Jul 11, 2026).
Common questions
- What is the difference between MultiPL-E and Agent-Reach?
- MultiPL-E: A multi-programming language benchmark for 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 MultiPL-E over Agent-Reach?
- Choose MultiPL-E over Agent-Reach when License: MultiPL-E is Other, Agent-Reach is MIT; Tags unique to MultiPL-E: python; Also covers Evaluation & Observability, Model Training.
- When should I choose Agent-Reach over MultiPL-E?
- Choose Agent-Reach over MultiPL-E when License: Agent-Reach is MIT, MultiPL-E is Other; Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers AI Agents, Developer Tools.
- When should I avoid MultiPL-E?
- Last GitHub push was 90 days ago (slowing maintenance, Apr 12, 2026). Validate activity before betting a new project on MultiPL-E. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- 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.
- Is MultiPL-E or Agent-Reach more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 311). Stars measure visibility, not whether either tool fits your constraints.
- Are MultiPL-E and Agent-Reach open source?
- Yes - both are open-source projects on GitHub (MultiPL-E: Other, Agent-Reach: MIT).
- Where can I find alternatives to MultiPL-E or Agent-Reach?
- GraphCanon lists graph-backed alternatives at MultiPL-E alternatives and Agent-Reach alternatives (MultiPL-E 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, MultiPL-E or Agent-Reach?
- MultiPL-E: Slowing. 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 MultiPL-E and Agent-Reach?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: MultiPL-E trust report; Agent-Reach trust report.