Comparison
ccg-workflow vs Agent-Reach
Verdict
Pick ccg-workflow if ccg-workflow is a Go-based workflow engine that automates multi-model collaboration, supporting Codex, Gemini, and Claude; 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 · ccg-workflow alternatives · Agent-Reach alternatives
GraphCanon updated Sep 20, 2026
5views this month
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Trust & integrity
| Signal | ccg-workflow | Agent-Reach |
|---|---|---|
| Maintenance | Active (12d since push) As of Sep 15, 2026 · github_public_v1 | Very active (4d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 15, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-15 As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- ccg-workflow
- Multi-model collaboration workflow engine -- one command for intent analysis, strategy selection, and coordinated execution of Codex + Gemini + Claude
- Agent-Reach
- AI Agent for Automated Web and Social Media Data Extraction
Stars
- ccg-workflow
- 5.9k
- Agent-Reach
- 84k
Forks
- ccg-workflow
- 446
- Agent-Reach
- 7.3k
Open issues
- ccg-workflow
- 1
- Agent-Reach
- 153
Language
- ccg-workflow
- Go
- Agent-Reach
- Python
Adopt for
- ccg-workflow
- ccg-workflow is a Go-based workflow engine that automates multi-model collaboration, supporting Codex, Gemini, and Claude.
- 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
- ccg-workflow
- -
- Agent-Reach
- -
Runtime
- ccg-workflow
- -
- Agent-Reach
- -
License
- ccg-workflow
- ccg-workflow is released under the MIT license.
- Agent-Reach
- MIT
Last pushed
- ccg-workflow
- Sep 3, 2026
- Agent-Reach
- Sep 15, 2026
Categories
- ccg-workflow
- AI Agents, LLM Frameworks
- Agent-Reach
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- ccg-workflow
- Active (82%)
- Agent-Reach
- Very active (96%)
Days since push
- ccg-workflow
- 12d
- Agent-Reach
- 4d
Open issues (now)
- ccg-workflow
- 1
- Agent-Reach
- 153
Stars delta
- ccg-workflow
- +78 (30d)
- Agent-Reach
- +23k (30d)
Open issues delta
- ccg-workflow
- -5 (30d)
- Agent-Reach
- -15 (30d)
OSV dependency advisories
- ccg-workflow
- No published findings from this source as of 2026-07-15
- Agent-Reach
- No lockfile (source not queried)
Full report
- ccg-workflow
- Trust report
- Agent-Reach
- Trust report
Choose ccg-workflow if…
- ccg-workflow is primarily Go; Agent-Reach is Python.
- Requirements: - Go programming language must be installed on the environment where ccg-workflow will run.; - The environment should allow installations from npm and have access to the package registry for ccg-workflow..
- Tags unique to ccg-workflow: agent-teams, ai, ccg, codex.
- Also covers LLM Frameworks.
- - You need to automate the analysis of user intents, strategy selection, and execution in environments where multiple AI models like Codex, Gemini, and Claude are integrated.
When NOT to use ccg-workflow
- - If your project strictly requires using non-Go languages for workflow orchestration, ccg-workflow might not be suitable.
- - In scenarios where the use of only one specific AI model is preferred over a collaborative approach involving Codex, Gemini, and Claude, this tool may not fulfill your needs.
Choose Agent-Reach if…
- Agent-Reach is primarily Python; ccg-workflow is Go.
- Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation.
- Also covers Data & Retrieval.
- 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 (fengshao1227/ccg-workflow) · observed Sep 20, 2026
- GitHub forks (fengshao1227/ccg-workflow) · observed Sep 20, 2026
- Last push (fengshao1227/ccg-workflow) · observed Sep 3, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (Panniantong/Agent-Reach) · observed Sep 20, 2026
- GitHub forks (Panniantong/Agent-Reach) · observed Sep 20, 2026
- Last push (Panniantong/Agent-Reach) · observed Sep 15, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ccg-workflow 5.9k · Agent-Reach 84k (synced Sep 20, 2026).
Common questions
- What is the difference between ccg-workflow and Agent-Reach?
- ccg-workflow: Multi-model collaboration workflow engine -- one command for intent analysis, strategy selection, and coordinated execution of Codex + Gemini + Claude. 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 ccg-workflow over Agent-Reach?
- Choose ccg-workflow over Agent-Reach when ccg-workflow is primarily Go; Agent-Reach is Python; Requirements: - Go programming language must be installed on the environment where ccg-workflow will run.; - The environment should allow installations from npm and have access to the package registry for ccg-workflow.; Tags unique to ccg-workflow: agent-teams, ai, ccg, codex; Also covers LLM Frameworks; - You need to automate the analysis of user intents, strategy selection, and execution in environments where multiple AI models like Codex, Gemini, and Claude are integrated.
- When should I choose Agent-Reach over ccg-workflow?
- Choose Agent-Reach over ccg-workflow when Agent-Reach is primarily Python; ccg-workflow is Go; Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers Data & Retrieval; When needing to bypass costly API fees for extensive social media platform data extraction.
- When should I avoid ccg-workflow?
- - If your project strictly requires using non-Go languages for workflow orchestration, ccg-workflow might not be suitable. - In scenarios where the use of only one specific AI model is preferred over a collaborative approach involving Codex, Gemini, and Claude, this tool may not fulfill your needs.
- 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 ccg-workflow or Agent-Reach more popular on GitHub?
- Agent-Reach has more GitHub stars (83,516 vs 5,886). Stars measure visibility, not whether either tool fits your constraints.
- Are ccg-workflow and Agent-Reach open source?
- Yes - both are open-source projects on GitHub (ccg-workflow: MIT, Agent-Reach: MIT).
- Where can I find alternatives to ccg-workflow or Agent-Reach?
- GraphCanon lists graph-backed alternatives at ccg-workflow alternatives and Agent-Reach alternatives (ccg-workflow 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, ccg-workflow or Agent-Reach?
- ccg-workflow: 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 ccg-workflow and Agent-Reach?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ccg-workflow trust report; Agent-Reach trust report.