--- title: "Agent-Reach vs SPIN" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/panniantong-agent-reach-vs-uclaml-spin" tools: ["panniantong-agent-reach", "uclaml-spin"] --- # Agent-Reach vs SPIN *GraphCanon updated Jul 12, 2026* ## Verdict Pick Agent-Reach when license: Agent-Reach is MIT, SPIN is Apache-2.0; pick SPIN when license: SPIN is Apache-2.0, Agent-Reach is MIT. [Agent-Reach](https://github.com/Panniantong/Agent-Reach) reports 55k GitHub stars, 4.5k forks, and 144 open issues, last pushed Jul 10, 2026. [SPIN](https://uclaml.github.io/SPIN/) has 1.2k stars, 105 forks, and 24 open issues, last pushed May 8, 2024. Figures are from public GitHub metadata via [Agent-Reach's repository](https://github.com/Panniantong/Agent-Reach) and [SPIN's repository](https://github.com/uclaml/SPIN). | | [Agent-Reach](/tools/panniantong-agent-reach.md) | [SPIN](/tools/uclaml-spin.md) | | --- | --- | --- | | Tagline | Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees. | The official implementation of Self-Play Fine-Tuning (SPIN) | | Stars | 54,715 | 1,247 | | Forks | 4,509 | 105 | | Open issues | 144 | 24 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | LLM Frameworks, AI Agents, Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Agent-Reach](/tools/panniantong-agent-reach.md) | [SPIN](/tools/uclaml-spin.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 794d | | Open issues (now) | 144 | 24 | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/panniantong-agent-reach/trust.md) | [trust report](/tools/uclaml-spin/trust.md) | ## Choose when ### Choose Agent-Reach if… - License: Agent-Reach is MIT, SPIN is Apache-2.0. - Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code. - Also covers LLM Frameworks, AI Agents. ### Choose SPIN if… - License: SPIN is Apache-2.0, Agent-Reach is MIT. - Tags unique to SPIN: deep-learning, fine-tuning, python, large-language-models. - Leaner open-issue backlog (24). ## When NOT to use Agent-Reach - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - 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. ## When NOT to use SPIN - Last GitHub push was 795 days ago (dormant maintenance, May 8, 2024). Validate activity before betting a new project on SPIN. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## Common questions ### What is the difference between Agent-Reach and SPIN? 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.. SPIN: The official implementation of Self-Play Fine-Tuning (SPIN). See the comparison table for live GitHub stats and shared categories. ### When should I choose Agent-Reach over SPIN? Choose Agent-Reach over SPIN when License: Agent-Reach is MIT, SPIN is Apache-2.0; Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers LLM Frameworks, AI Agents. ### When should I choose SPIN over Agent-Reach? Choose SPIN over Agent-Reach when License: SPIN is Apache-2.0, Agent-Reach is MIT; Tags unique to SPIN: deep-learning, fine-tuning, python, large-language-models; Leaner open-issue backlog (24). ### When should I avoid Agent-Reach? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. 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. ### When should I avoid SPIN? Last GitHub push was 795 days ago (dormant maintenance, May 8, 2024). Validate activity before betting a new project on SPIN. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is Agent-Reach or SPIN more popular on GitHub? Agent-Reach has more GitHub stars (54,715 vs 1,247). Stars measure visibility, not whether either tool fits your constraints. ### Are Agent-Reach and SPIN open source? Yes - both are open-source projects on GitHub (Agent-Reach: MIT, SPIN: Apache-2.0). ### Where can I find alternatives to Agent-Reach or SPIN? GraphCanon lists graph-backed alternatives at [Agent-Reach alternatives](/tools/panniantong-agent-reach/alternatives) and [SPIN alternatives](/tools/uclaml-spin/alternatives) ([Agent-Reach markdown twin](/tools/panniantong-agent-reach/alternatives.md), [SPIN markdown twin](/tools/uclaml-spin/alternatives.md)), 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](/compare/panniantong-agent-reach-vs-uclaml-spin.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Agent-Reach or SPIN? Agent-Reach: Very active. SPIN: Dormant. 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 Agent-Reach and SPIN? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Agent-Reach trust report](/tools/panniantong-agent-reach/trust); [SPIN trust report](/tools/uclaml-spin/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=panniantong-agent-reach`](/api/graphcanon/graph?tool=panniantong-agent-reach) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_