Comparison
Agent-Reach vs osgrep
Verdict
Pick Agent-Reach when agent-Reach is primarily Python; osgrep is TypeScript; pick osgrep when osgrep is primarily TypeScript; Agent-Reach is Python.
Markdown twin · Agent-Reach alternatives · osgrep alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | Agent-Reach | osgrep |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Slowing (174d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No MCP manifest As of today · mcp_manifest | No lockfile As of today · none |
Tagline
- 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.
- osgrep
- Open Source Semantic Search for your AI Agent
Stars
- Agent-Reach
- 55k
- osgrep
- 1.1k
Forks
- Agent-Reach
- 4.5k
- osgrep
- 67
Open issues
- Agent-Reach
- 144
- osgrep
- 21
Language
- Agent-Reach
- Python
- osgrep
- TypeScript
Adopt for
- Agent-Reach
- -
- osgrep
- osgrep is an open-source tool focused on semantic search capabilities specifically designed for integration with AI agents using TypeScript.
Persona
- Agent-Reach
- -
- osgrep
- -
Runtime
- Agent-Reach
- -
- osgrep
- -
License
- Agent-Reach
- MIT
- osgrep
- osgrep is available under the Apache-2.0 license, offering permissive use for both commercial and non-commercial projects without requiring derivative works to be open-sourced.
Last pushed
- Agent-Reach
- Jul 10, 2026
- osgrep
- Jan 17, 2026
Categories
- Agent-Reach
- AI Agents, Developer Tools, LLM Frameworks
- osgrep
- Data & Retrieval
Trust and health
Maintenance
- Agent-Reach
- Very active (96%)
- osgrep
- Slowing (36%)
Days since push
- Agent-Reach
- 0d
- osgrep
- 174d
Open issues (now)
- Agent-Reach
- 144
- osgrep
- 21
Security scan
- Agent-Reach
- No MCP manifest
- osgrep
- No lockfile
Full report
- Agent-Reach
- Trust report
- osgrep
- Trust report
Choose Agent-Reach if…
- Agent-Reach is primarily Python; osgrep is TypeScript.
- License: Agent-Reach is MIT, osgrep is Apache-2.0.
- Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation.
- Also covers AI Agents, Developer Tools, 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.
Choose osgrep if…
- osgrep is primarily TypeScript; Agent-Reach is Python.
- License: osgrep is Apache-2.0, Agent-Reach is MIT.
- Tags unique to osgrep: colbert, embeddings, grep-search.
- Also covers Data & Retrieval.
- osgrep ships an MCP server manifest.
- - You need advanced semantic search functionality tailored to work seamlessly with your AI agent.
When NOT to use osgrep
- - If your search requirements can be met with simple keyword matching rather than semantic analysis, as osgrep specializes in more complex semantic searches.
- - Your AI project is not using TypeScript or where seamless integration with TypeScript-specific features of osgrep would offer no advantage.
- - You require additional proprietary functionalities that go beyond what the open-source license and community provide.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (Ryandonofrio3/osgrep) · observed Jul 11, 2026
- GitHub forks (Ryandonofrio3/osgrep) · observed Jul 11, 2026
- Last push (Ryandonofrio3/osgrep) · observed Jan 17, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Agent-Reach 55k · osgrep 1.1k (synced Jul 11, 2026).
Common questions
- What is the difference between Agent-Reach and osgrep?
- 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.. osgrep: Open Source Semantic Search for your AI Agent. See the comparison table for live GitHub stats and shared categories.
- When should I choose Agent-Reach over osgrep?
- Choose Agent-Reach over osgrep when Agent-Reach is primarily Python; osgrep is TypeScript; License: Agent-Reach is MIT, osgrep is Apache-2.0; Tags unique to Agent-Reach: agent-infrastructure, ai-agent, ai-search, automation; Also covers AI Agents, Developer Tools, LLM Frameworks.
- When should I choose osgrep over Agent-Reach?
- Choose osgrep over Agent-Reach when osgrep is primarily TypeScript; Agent-Reach is Python; License: osgrep is Apache-2.0, Agent-Reach is MIT; Tags unique to osgrep: colbert, embeddings, grep-search; Also covers Data & Retrieval; osgrep ships an MCP server manifest; - You need advanced semantic search functionality tailored to work seamlessly with your AI agent.
- 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 osgrep?
- - If your search requirements can be met with simple keyword matching rather than semantic analysis, as osgrep specializes in more complex semantic searches. - Your AI project is not using TypeScript or where seamless integration with TypeScript-specific features of osgrep would offer no advantage. - You require additional proprietary functionalities that go beyond what the open-source license and community provide.
- Is Agent-Reach or osgrep more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 1,141). Stars measure visibility, not whether either tool fits your constraints.
- Are Agent-Reach and osgrep open source?
- Yes - both are open-source projects on GitHub (Agent-Reach: MIT, osgrep: Apache-2.0).
- Where can I find alternatives to Agent-Reach or osgrep?
- GraphCanon lists graph-backed alternatives at Agent-Reach alternatives and osgrep alternatives (Agent-Reach markdown twin, osgrep 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, Agent-Reach or osgrep?
- Agent-Reach: Very active. osgrep: Slowing. 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 osgrep?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Agent-Reach trust report; osgrep trust report.