Comparison
raft vs Agent-Reach
Verdict
Pick raft if rAFT is a collection of CUDA-accelerated algorithms for high-performance machine learning and information retrieval applications; pick Agent-Reach if agent-Reach facilitates hands-off web and social media scraping via command line with no API costs for retrieving varied internet content.
Markdown twin · raft alternatives · Agent-Reach alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | raft | Agent-Reach |
|---|---|---|
| Maintenance | Very active (1d since push) As of today · github_public_v1 | Very active (0d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of 4w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- raft
- A collection of CUDA-accelerated algorithms for building high-performance machine learning and information retrieval applications.
- Agent-Reach
- AI Agent for Automated Web and Social Media Data Extraction
Stars
- raft
- 1.0k
- Agent-Reach
- 61k
Forks
- raft
- 248
- Agent-Reach
- 4.9k
Open issues
- raft
- 446
- Agent-Reach
- 168
Language
- raft
- Cuda
- Agent-Reach
- Python
Adopt for
- raft
- RAFT is a collection of CUDA-accelerated algorithms for high-performance machine learning and information retrieval applications.
- Agent-Reach
- Agent-Reach facilitates hands-off web and social media scraping via command line with no API costs for retrieving varied internet content.
Persona
- raft
- -
- Agent-Reach
- -
Runtime
- raft
- -
- Agent-Reach
- -
License
- raft
- Apache-2.0
- Agent-Reach
- MIT
Last pushed
- raft
- Aug 22, 2026
- Agent-Reach
- Jul 25, 2026
Categories
- raft
- Data & Retrieval, Model Training
- Agent-Reach
- AI Agents, Data & Retrieval
Trust and health
Days since push
- raft
- 1d
- Agent-Reach
- 0d
Open issues (now)
- raft
- 446
- Agent-Reach
- 168
Stars delta
- raft
- +5 (30d)
- Agent-Reach
- Unknown
Open issues delta
- raft
- +2 (30d)
- Agent-Reach
- Unknown
Owner type
- raft
- Organization
- Agent-Reach
- User
Full report
- raft
- Trust report
- Agent-Reach
- Trust report
Shared compatibility
- Python · raft: Python runtime · Agent-Reach: Python runtime
Choose raft if…
- raft is primarily Cuda; Agent-Reach is Python.
- License: raft is Apache-2.0, Agent-Reach is MIT.
- Requirements: Ensure access to NVIDIA GPUs; Compatibility with CUDA is essential for utilizing the RAFT algorithms effectively.; The user must have familiarity or develop understanding of CUDA programming to optimize their application integration with RAFT..
- Tags unique to raft: anns, building-blocks, clustering, cuda.
- Also covers Model Training.
- - You are developing on an NVIDIA GPU architecture and require optimized, CUDA-accelerated primitives.
When NOT to use raft
- - Your application does not have access to NVIDIA GPUs, as RAFT's algorithms leverage CUDA specifically for performance gains.
- - If your workload requires more generalized machine learning libraries without a dependency on GPU-accelerated primitives and you are working in a multi-platform or cross-vendor environment.
Choose Agent-Reach if…
- Agent-Reach is primarily Python; raft is Cuda.
- License: Agent-Reach is MIT, raft is Apache-2.0.
- Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation.
- Also covers AI Agents.
- When needing to bypass costly API fees for extensive social media platform data extraction
When NOT to use Agent-Reach
- If strict compliance with website scraping policies is critical due to its use of scraping techniques
- When direct interaction through APIs for precision and reliability is preferred over scraping
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (NVIDIA/raft) · observed Aug 23, 2026
- GitHub forks (NVIDIA/raft) · observed Aug 23, 2026
- Last push (NVIDIA/raft) · observed Aug 22, 2026
- License file (Apache-2.0) · observed Aug 23, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Panniantong/Agent-Reach) · observed Jul 26, 2026
- GitHub forks (Panniantong/Agent-Reach) · observed Jul 26, 2026
- Last push (Panniantong/Agent-Reach) · observed Jul 25, 2026
- License file (MIT) · observed Jul 26, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: raft 1.0k · Agent-Reach 61k (synced Aug 23, 2026).
Common questions
- What is the difference between raft and Agent-Reach?
- raft: A collection of CUDA-accelerated algorithms for building high-performance machine learning and information retrieval applications.. Agent-Reach: AI Agent for Automated Web and Social Media Data Extraction. See the comparison table for live GitHub stats and shared categories.
- When should I choose raft over Agent-Reach?
- Choose raft over Agent-Reach when raft is primarily Cuda; Agent-Reach is Python; License: raft is Apache-2.0, Agent-Reach is MIT; Requirements: Ensure access to NVIDIA GPUs; Compatibility with CUDA is essential for utilizing the RAFT algorithms effectively.; The user must have familiarity or develop understanding of CUDA programming to optimize their application integration with RAFT.; Tags unique to raft: anns, building-blocks, clustering, cuda; Also covers Model Training; - You are developing on an NVIDIA GPU architecture and require optimized, CUDA-accelerated primitives.
- When should I choose Agent-Reach over raft?
- Choose Agent-Reach over raft when Agent-Reach is primarily Python; raft is Cuda; License: Agent-Reach is MIT, raft is Apache-2.0; Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers AI Agents; When needing to bypass costly API fees for extensive social media platform data extraction.
- When should I avoid raft?
- - Your application does not have access to NVIDIA GPUs, as RAFT's algorithms leverage CUDA specifically for performance gains. - If your workload requires more generalized machine learning libraries without a dependency on GPU-accelerated primitives and you are working in a multi-platform or cross-vendor environment.
- When should I avoid Agent-Reach?
- If strict compliance with website scraping policies is critical due to its use of scraping techniques When direct interaction through APIs for precision and reliability is preferred over scraping
- Is raft or Agent-Reach more popular on GitHub?
- Agent-Reach has more GitHub stars (60,828 vs 1,036). Stars measure visibility, not whether either tool fits your constraints.
- Are raft and Agent-Reach open source?
- Yes - both are open-source projects on GitHub (raft: Apache-2.0, Agent-Reach: MIT).
- Where can I find alternatives to raft or Agent-Reach?
- GraphCanon lists graph-backed alternatives at raft alternatives and Agent-Reach alternatives (raft 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, raft or Agent-Reach?
- raft: Very 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 raft and Agent-Reach?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: raft trust report; Agent-Reach trust report.