Comparison
openakita vs Agent-Reach
Verdict
Pick openakita when license: openakita is AGPL-3.0, Agent-Reach is MIT; pick Agent-Reach when license: Agent-Reach is MIT, openakita is AGPL-3.0.
Markdown twin · openakita alternatives · Agent-Reach alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | openakita | Agent-Reach |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Very active (0d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of 4d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of today · osv@v1 | No lockfile (source not queried) As of 4d · 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
- openakita
- An open-source AI assistant framework with skills and agent architecture
- Agent-Reach
- AI Agent for Automated Web and Social Media Data Extraction
Stars
- openakita
- 1.8k
- Agent-Reach
- 55k
Forks
- openakita
- 262
- Agent-Reach
- 4.5k
Open issues
- openakita
- 55
- Agent-Reach
- 144
Language
- openakita
- Python
- Agent-Reach
- Python
Adopt for
- openakita
- -
- 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
- openakita
- -
- Agent-Reach
- -
Runtime
- openakita
- -
- Agent-Reach
- -
License
- openakita
- AGPL-3.0
- Agent-Reach
- MIT
Last pushed
- openakita
- Jul 15, 2026
- Agent-Reach
- Jul 10, 2026
Categories
- openakita
- AI Agents
- Agent-Reach
- AI Agents, Data & Retrieval
Trust and health
Open issues (now)
- openakita
- 55
- Agent-Reach
- 144
Full report
- openakita
- Trust report
- Agent-Reach
- Trust report
Choose openakita if…
- License: openakita is AGPL-3.0, Agent-Reach is MIT.
- Tags unique to openakita: agent, ai, assistant, claw.
- More recently updated (last pushed Jul 15, 2026).
When NOT to use openakita
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
Choose Agent-Reach if…
- License: Agent-Reach is MIT, openakita is AGPL-3.0.
- Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, bilibili.
- 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 (openakita/openakita) · observed Jul 15, 2026
- GitHub forks (openakita/openakita) · observed Jul 15, 2026
- Last push (openakita/openakita) · observed Jul 15, 2026
- License file (AGPL-3.0) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 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
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: openakita 1.8k · Agent-Reach 55k (synced Jul 15, 2026).
Common questions
- What is the difference between openakita and Agent-Reach?
- openakita: An open-source AI assistant framework with skills and agent architecture. 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 openakita over Agent-Reach?
- Choose openakita over Agent-Reach when License: openakita is AGPL-3.0, Agent-Reach is MIT; Tags unique to openakita: agent, ai, assistant, claw; More recently updated (last pushed Jul 15, 2026).
- When should I choose Agent-Reach over openakita?
- Choose Agent-Reach over openakita when License: Agent-Reach is MIT, openakita is AGPL-3.0; Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, bilibili; Also covers Data & Retrieval; When needing to bypass costly API fees for extensive social media platform data extraction.
- When should I avoid openakita?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- 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 openakita or Agent-Reach more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 1,843). Stars measure visibility, not whether either tool fits your constraints.
- Are openakita and Agent-Reach open source?
- Yes - both are open-source projects on GitHub (openakita: AGPL-3.0, Agent-Reach: MIT).
- Where can I find alternatives to openakita or Agent-Reach?
- GraphCanon lists graph-backed alternatives at openakita alternatives and Agent-Reach alternatives (openakita 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, openakita or Agent-Reach?
- openakita: 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 openakita and Agent-Reach?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: openakita trust report; Agent-Reach trust report.