Comparison
feast vs Agent-Reach
Verdict
Pick feast when license: feast is Apache-2.0, Agent-Reach is MIT; pick Agent-Reach when license: Agent-Reach is MIT, feast is Apache-2.0.
Markdown twin · feast alternatives · Agent-Reach alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | feast | Agent-Reach |
|---|---|---|
| Maintenance | Very active (1d 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) | 38 low (38 low) As of today · osv@v1 | No MCP manifest As of today · mcp_manifest |
Tagline
- feast
- The Open Source Feature Store for AI/ML
- 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
- feast
- 7.1k
- Agent-Reach
- 55k
Forks
- feast
- 1.4k
- Agent-Reach
- 4.5k
Open issues
- feast
- 389
- Agent-Reach
- 144
Language
- feast
- Python
- Agent-Reach
- Python
Adopt for
- feast
- -
- Agent-Reach
- -
Persona
- feast
- -
- Agent-Reach
- -
Runtime
- feast
- -
- Agent-Reach
- -
License
- feast
- Apache-2.0
- Agent-Reach
- MIT
Last pushed
- feast
- Jul 10, 2026
- Agent-Reach
- Jul 10, 2026
Categories
- feast
- Developer Tools
- Agent-Reach
- AI Agents, Developer Tools, LLM Frameworks
Trust and health
Days since push
- feast
- 1d
- Agent-Reach
- 0d
Open issues (now)
- feast
- 389
- Agent-Reach
- 144
Owner type
- feast
- Organization
- Agent-Reach
- User
Security scan
- feast
- 38 low (38 low)
- Agent-Reach
- No MCP manifest
Full report
- feast
- Trust report
- Agent-Reach
- Trust report
Choose feast if…
- License: feast is Apache-2.0, Agent-Reach is MIT.
- Tags unique to feast: big-data, data-engineering, data-quality, data-science.
When NOT to use feast
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
Choose Agent-Reach if…
- License: Agent-Reach is MIT, feast is Apache-2.0.
- Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation.
- Also covers AI Agents, LLM Frameworks.
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 (feast-dev/feast) · observed Jul 11, 2026
- GitHub forks (feast-dev/feast) · observed Jul 11, 2026
- Last push (feast-dev/feast) · observed Jul 10, 2026
- License file (Apache-2.0) · 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: feast 7.1k · Agent-Reach 55k (synced Jul 11, 2026).
Common questions
- What is the difference between feast and Agent-Reach?
- feast: The Open Source Feature Store for AI/ML. 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 feast over Agent-Reach?
- Choose feast over Agent-Reach when License: feast is Apache-2.0, Agent-Reach is MIT; Tags unique to feast: big-data, data-engineering, data-quality, data-science.
- When should I choose Agent-Reach over feast?
- Choose Agent-Reach over feast when License: Agent-Reach is MIT, feast is Apache-2.0; Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers AI Agents, LLM Frameworks.
- When should I avoid feast?
- 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. 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 feast or Agent-Reach more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 7,127). Stars measure visibility, not whether either tool fits your constraints.
- Are feast and Agent-Reach open source?
- Yes - both are open-source projects on GitHub (feast: Apache-2.0, Agent-Reach: MIT).
- Where can I find alternatives to feast or Agent-Reach?
- GraphCanon lists graph-backed alternatives at feast alternatives and Agent-Reach alternatives (feast 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, feast or Agent-Reach?
- feast: 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 feast and Agent-Reach?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: feast trust report; Agent-Reach trust report.