--- title: "Agent-Reach vs SPPO" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/panniantong-agent-reach-vs-uclaml-sppo" tools: ["panniantong-agent-reach", "uclaml-sppo"] --- # Agent-Reach vs SPPO *GraphCanon updated Jul 11, 2026* ## Verdict Pick Agent-Reach when license: Agent-Reach is MIT, SPPO is Apache-2.0; pick SPPO when license: SPPO 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. [SPPO](https://uclaml.github.io/SPPO/) has 589 stars, 48 forks, and 15 open issues, last pushed Jan 23, 2025. Figures are from public GitHub metadata via [Agent-Reach's repository](https://github.com/Panniantong/Agent-Reach) and [SPPO's repository](https://github.com/uclaml/SPPO). | | [Agent-Reach](/tools/panniantong-agent-reach.md) | [SPPO](/tools/uclaml-sppo.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 Preference Optimization (SPPO) | | Stars | 54,715 | 589 | | Forks | 4,509 | 48 | | Open issues | 144 | 15 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, Developer Tools, LLM Frameworks | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Agent-Reach](/tools/panniantong-agent-reach.md) | [SPPO](/tools/uclaml-sppo.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 534d | | Open issues (now) | 144 | 15 | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/panniantong-agent-reach/trust.md) | [trust report](/tools/uclaml-sppo/trust.md) | ## Choose when ### Choose Agent-Reach if… - License: Agent-Reach is MIT, SPPO is Apache-2.0. - Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation. - Also covers AI Agents, LLM Frameworks. ### Choose SPPO if… - License: SPPO is Apache-2.0, Agent-Reach is MIT. - Tags unique to SPPO: deep-learning, fine-tuning, large-language-models, python. - Leaner open-issue backlog (15). ## 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. ## When NOT to use SPPO - Last GitHub push was 535 days ago (dormant maintenance, Jan 23, 2025). Validate activity before betting a new project on SPPO. - 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 SPPO? 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.. SPPO: The official implementation of Self-Play Preference Optimization (SPPO). See the comparison table for live GitHub stats and shared categories. ### When should I choose Agent-Reach over SPPO? Choose Agent-Reach over SPPO when License: Agent-Reach is MIT, SPPO 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 choose SPPO over Agent-Reach? Choose SPPO over Agent-Reach when License: SPPO is Apache-2.0, Agent-Reach is MIT; Tags unique to SPPO: deep-learning, fine-tuning, large-language-models, python; Leaner open-issue backlog (15). ### 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. ### When should I avoid SPPO? Last GitHub push was 535 days ago (dormant maintenance, Jan 23, 2025). Validate activity before betting a new project on SPPO. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is Agent-Reach or SPPO more popular on GitHub? Agent-Reach has more GitHub stars (54,715 vs 589). Stars measure visibility, not whether either tool fits your constraints. ### Are Agent-Reach and SPPO open source? Yes - both are open-source projects on GitHub (Agent-Reach: MIT, SPPO: Apache-2.0). ### Where can I find alternatives to Agent-Reach or SPPO? GraphCanon lists graph-backed alternatives at [Agent-Reach alternatives](/tools/panniantong-agent-reach/alternatives) and [SPPO alternatives](/tools/uclaml-sppo/alternatives) ([Agent-Reach markdown twin](/tools/panniantong-agent-reach/alternatives.md), [SPPO markdown twin](/tools/uclaml-sppo/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-sppo.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Agent-Reach or SPPO? Agent-Reach: Very active. SPPO: 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 SPPO? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Agent-Reach trust report](/tools/panniantong-agent-reach/trust); [SPPO trust report](/tools/uclaml-sppo/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/_