Comparison
cherche vs osgrep
Verdict
Pick cherche if cherche is a Python library for implementing neural search capabilities; pick osgrep if osgrep is an open-source tool focused on semantic search capabilities specifically designed for integration with AI agents using TypeScript.
Markdown twin · cherche alternatives · osgrep alternatives
GraphCanon updated 2d
vs
Trust & integrity
| Signal | cherche | osgrep |
|---|---|---|
| Maintenance | Dormant (812d since push) As of 2d · github_public_v1 | Slowing (216d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2d · github_public_v1 | Not a fork · Personal account As of 3d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- cherche
- Neural Search
- osgrep
- Open Source Semantic Search for your AI Agent
Stars
- cherche
- 332
- osgrep
- 1.1k
Forks
- cherche
- 14
- osgrep
- 67
Open issues
- cherche
- 4
- osgrep
- 21
Language
- cherche
- Python
- osgrep
- TypeScript
Adopt for
- cherche
- Cherche is a Python library for implementing neural search capabilities.
- osgrep
- osgrep is an open-source tool focused on semantic search capabilities specifically designed for integration with AI agents using TypeScript.
Persona
- cherche
- -
- osgrep
- -
Runtime
- cherche
- -
- osgrep
- -
License
- cherche
- 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
- cherche
- Jun 1, 2024
- osgrep
- Jan 17, 2026
Categories
- cherche
- Data & Retrieval, Evaluation & Observability, Vector Databases
- osgrep
- Data & Retrieval
Trust and health
Maintenance
- cherche
- Dormant (18%)
- osgrep
- Slowing (36%)
Days since push
- cherche
- 812d
- osgrep
- 216d
Open issues (now)
- cherche
- 4
- osgrep
- 21
Stars delta
- cherche
- 0 (30d)
- osgrep
- -1 (30d)
Full report
- cherche
- Trust report
- osgrep
- Trust report
Choose cherche if…
- cherche is primarily Python; osgrep is TypeScript.
- License: cherche is MIT, osgrep is Apache-2.0.
- Tags unique to cherche: bm25, flashtext, information-retrieval, machine-learning.
- Also covers Evaluation & Observability, Vector Databases.
- Cherche is a Python library for implementing neural search capabilities.
When NOT to use cherche
- Last GitHub push was 815 days ago (dormant maintenance, Jun 1, 2024). Validate activity before betting a new project on cherche.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Choose osgrep if…
- osgrep is primarily TypeScript; cherche is Python.
- License: osgrep is Apache-2.0, cherche is MIT.
- Tags unique to osgrep: colbert, embeddings, grep-search.
- 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 (raphaelsty/cherche) · observed Aug 23, 2026
- GitHub forks (raphaelsty/cherche) · observed Aug 23, 2026
- Last push (raphaelsty/cherche) · observed Jun 1, 2024
- License file (MIT) · observed Aug 23, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Ryandonofrio3/osgrep) · observed Aug 22, 2026
- GitHub forks (Ryandonofrio3/osgrep) · observed Aug 22, 2026
- Last push (Ryandonofrio3/osgrep) · observed Jan 17, 2026
- License file (Apache-2.0) · observed Aug 22, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: cherche 332 · osgrep 1.1k (synced Aug 23, 2026).
Common questions
- What is the difference between cherche and osgrep?
- cherche: Neural Search. osgrep: Open Source Semantic Search for your AI Agent. See the comparison table for live GitHub stats and shared categories.
- When should I choose cherche over osgrep?
- Choose cherche over osgrep when cherche is primarily Python; osgrep is TypeScript; License: cherche is MIT, osgrep is Apache-2.0; Tags unique to cherche: bm25, flashtext, information-retrieval, machine-learning; Also covers Evaluation & Observability, Vector Databases; Cherche is a Python library for implementing neural search capabilities.
- When should I choose osgrep over cherche?
- Choose osgrep over cherche when osgrep is primarily TypeScript; cherche is Python; License: osgrep is Apache-2.0, cherche is MIT; Tags unique to osgrep: colbert, embeddings, grep-search; osgrep ships an MCP server manifest; - You need advanced semantic search functionality tailored to work seamlessly with your AI agent.
- When should I avoid cherche?
- Last GitHub push was 815 days ago (dormant maintenance, Jun 1, 2024). Validate activity before betting a new project on cherche. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- 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 cherche or osgrep more popular on GitHub?
- osgrep has more GitHub stars (1,139 vs 332). Stars measure visibility, not whether either tool fits your constraints.
- Are cherche and osgrep open source?
- Yes - both are open-source projects on GitHub (cherche: MIT, osgrep: Apache-2.0).
- Where can I find alternatives to cherche or osgrep?
- GraphCanon lists graph-backed alternatives at cherche alternatives and osgrep alternatives (cherche 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, cherche or osgrep?
- cherche: Dormant. 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 cherche and osgrep?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: cherche trust report; osgrep trust report.