--- title: "Agent-Reach vs tabby" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/panniantong-agent-reach-vs-tabbyml-tabby" tools: ["panniantong-agent-reach", "tabbyml-tabby"] --- # Agent-Reach vs tabby *GraphCanon updated Jul 11, 2026* ## Verdict Pick Agent-Reach when agent-Reach is primarily Python; tabby is Rust; pick tabby when tabby is primarily Rust; Agent-Reach is Python. [Agent-Reach](https://github.com/Panniantong/Agent-Reach) reports 55k GitHub stars, 4.5k forks, and 144 open issues, last pushed Jul 10, 2026. [tabby](https://tabbyml.com) has 34k stars, 1.8k forks, and 326 open issues, last pushed Jun 30, 2026. Figures are from public GitHub metadata via [Agent-Reach's repository](https://github.com/Panniantong/Agent-Reach) and [tabby's repository](https://github.com/TabbyML/tabby). | | [Agent-Reach](/tools/panniantong-agent-reach.md) | [tabby](/tools/tabbyml-tabby.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. | Self-hosted AI coding assistant | | Stars | 54,715 | 33,689 | | Forks | 4,509 | 1,763 | | Open issues | 144 | 326 | | Language | Python | Rust | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | Categories | LLM Frameworks, 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) | [tabby](/tools/tabbyml-tabby.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 11d | | Open issues (now) | 144 | 326 | | Owner type | User | Organization | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/panniantong-agent-reach/trust.md) | [trust report](/tools/tabbyml-tabby/trust.md) | ## Choose when ### Choose Agent-Reach if… - Agent-Reach is primarily Python; tabby is Rust. - License: Agent-Reach is MIT, tabby is Other. - Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code. - Also covers AI Agents. ### Choose tabby if… - tabby is primarily Rust; Agent-Reach is Python. - License: tabby is Other, Agent-Reach is MIT. - Tags unique to tabby: ide, ai, codegen, gen-ai. ## 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 tabby - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - 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 tabby? 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.. tabby: Self-hosted AI coding assistant. See the comparison table for live GitHub stats and shared categories. ### When should I choose Agent-Reach over tabby? Choose Agent-Reach over tabby when Agent-Reach is primarily Python; tabby is Rust; License: Agent-Reach is MIT, tabby is Other; Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers AI Agents. ### When should I choose tabby over Agent-Reach? Choose tabby over Agent-Reach when tabby is primarily Rust; Agent-Reach is Python; License: tabby is Other, Agent-Reach is MIT; Tags unique to tabby: ide, ai, codegen, gen-ai. ### 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 tabby? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is Agent-Reach or tabby more popular on GitHub? Agent-Reach has more GitHub stars (54,715 vs 33,689). Stars measure visibility, not whether either tool fits your constraints. ### Are Agent-Reach and tabby open source? Yes - both are open-source projects on GitHub (Agent-Reach: MIT, tabby: Other). ### Where can I find alternatives to Agent-Reach or tabby? GraphCanon lists graph-backed alternatives at [Agent-Reach alternatives](/tools/panniantong-agent-reach/alternatives) and [tabby alternatives](/tools/tabbyml-tabby/alternatives) ([Agent-Reach markdown twin](/tools/panniantong-agent-reach/alternatives.md), [tabby markdown twin](/tools/tabbyml-tabby/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-tabbyml-tabby.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Agent-Reach or tabby? Agent-Reach: Very active. tabby: 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 Agent-Reach and tabby? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Agent-Reach trust report](/tools/panniantong-agent-reach/trust); [tabby trust report](/tools/tabbyml-tabby/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/_