Comparison
nni vs Agent-Reach
Verdict
Pick nni when tags unique to nni: automl, data-science, deep-learning, distributed; pick Agent-Reach when tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code.
Markdown twin · nni alternatives · Agent-Reach alternatives
GraphCanon updated today
Trust & integrity
| Signal | nni | Agent-Reach |
|---|---|---|
| Maintenance | Archived (738d 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
- nni
- An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
- 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
- nni
- 14k
- Agent-Reach
- 55k
Forks
- nni
- 1.9k
- Agent-Reach
- 4.5k
Open issues
- nni
- 415
- Agent-Reach
- 144
Language
- nni
- Python
- Agent-Reach
- Python
Adopt for
- nni
- -
- Agent-Reach
- -
Persona
- nni
- -
- Agent-Reach
- -
Runtime
- nni
- -
- Agent-Reach
- -
License
- nni
- MIT
- Agent-Reach
- MIT
Last pushed
- nni
- Jul 3, 2024
- Agent-Reach
- Jul 10, 2026
Categories
- nni
- Model Training, Developer Tools
- Agent-Reach
- AI Agents, LLM Frameworks, Developer Tools
Trust and health
Maintenance
- nni
- Archived (8%)
- Agent-Reach
- Very active (96%)
Days since push
- nni
- 738d
- Agent-Reach
- 0d
Archived on GitHub
- nni
- Yes
- Agent-Reach
- No
Open issues (now)
- nni
- 415
- Agent-Reach
- 144
Owner type
- nni
- Organization
- Agent-Reach
- User
Security scan
- nni
- No lockfile
- Agent-Reach
- No MCP manifest
Full report
- nni
- Trust report
- Agent-Reach
- Trust report
Choose nni if…
- Tags unique to nni: automl, data-science, deep-learning, distributed.
- Also covers Model Training.
- nni ships Docker support for self-hosted deployment.
When NOT to use nni
- nni is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
Choose Agent-Reach if…
- Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code.
- Also covers AI Agents, LLM Frameworks.
- More GitHub stars (55k vs 14k) - 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 (microsoft/nni) · observed Jul 11, 2026
- GitHub forks (microsoft/nni) · observed Jul 11, 2026
- Last push (microsoft/nni) · observed Jul 3, 2024
- 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: nni 14k · Agent-Reach 55k (synced Jul 11, 2026).
Common questions
- What is the difference between nni and Agent-Reach?
- nni: An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.. 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 nni over Agent-Reach?
- Choose nni over Agent-Reach when Tags unique to nni: automl, data-science, deep-learning, distributed; Also covers Model Training; nni ships Docker support for self-hosted deployment.
- When should I choose Agent-Reach over nni?
- Choose Agent-Reach over nni when Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers AI Agents, LLM Frameworks; More GitHub stars (55k vs 14k) - visibility, not fit.
- When should I avoid nni?
- nni is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- 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 nni or Agent-Reach more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 14,359). Stars measure visibility, not whether either tool fits your constraints.
- Are nni and Agent-Reach open source?
- Yes - both are open-source projects on GitHub (nni: MIT, Agent-Reach: MIT).
- Where can I find alternatives to nni or Agent-Reach?
- GraphCanon lists graph-backed alternatives at nni alternatives and Agent-Reach alternatives (nni 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, nni or Agent-Reach?
- nni: Archived. 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 nni and Agent-Reach?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: nni trust report; Agent-Reach trust report.