Comparison
octocode vs semble
Verdict
Pick octocode if octocode is an MCP server that uses LLM patterns for semantic code research and context generation in real-time; pick semble if semble is a Python-based tool that facilitates fast and accurate code search for AI agents with up to 98% fewer tokens compared to traditional grep+read methods.
Markdown twin · octocode alternatives · semble alternatives
GraphCanon updated Sep 20, 2026
15views this month
Trust & integrity
| Signal | octocode | semble |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 20, 2026 · github_public_v1 | Very active (1d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- octocode
- MCP server for semantic code research with LLM patterns
- semble
- Fast and Accurate Code Search for Agents
Stars
- octocode
- 942
- semble
- 6.1k
Forks
- octocode
- 76
- semble
- 269
Open issues
- octocode
- 5
- semble
- 6
Language
- octocode
- TypeScript
- semble
- Python
Adopt for
- octocode
- Octocode is an MCP server that uses LLM patterns for semantic code research and context generation in real-time.
- semble
- Semble is a Python-based tool that facilitates fast and accurate code search for AI agents with up to 98% fewer tokens compared to traditional grep+read methods.
Persona
- octocode
- -
- semble
- -
Runtime
- octocode
- -
- semble
- -
License
- octocode
- MIT
- semble
- MIT
Last pushed
- octocode
- Sep 18, 2026
- semble
- Sep 18, 2026
Categories
- octocode
- AI Agents, Data & Retrieval, LLM Frameworks
- semble
- AI Agents, Data & Retrieval
Trust and health
Open issues (now)
- octocode
- 5
- semble
- 6
Stars delta
- octocode
- +42 (30d)
- semble
- +432 (30d)
Open issues delta
- octocode
- +3 (30d)
- semble
- -1 (30d)
Owner type
- octocode
- User
- semble
- Organization
Full report
- octocode
- Trust report
- semble
- Trust report
Shared compatibility
- Cursor · octocode: Works with Cursor · semble: Works with Cursor
Choose octocode if…
- octocode is primarily TypeScript; semble is Python.
- Tags unique to octocode: agent, ai-tools, code-intelligence, context.
- Also covers LLM Frameworks.
- When you need to search across both public and private repositories based on your user permissions.
When NOT to use octocode
- If your use case does not require real-time semantic context generation from large language models (LLMs).
- When you have no need for integrating with public and private repositories via their permissions system.
Choose semble if…
- semble is primarily Python; octocode is TypeScript.
- Requirements: Operating with Python, Semble does not require Docker for its operation..
- Tags unique to semble: agents, embeddings, mcp, retrieval.
- - Use Semble when you are specifically working with AI agents or models and require efficient, token-economical code search operations.
When NOT to use semble
- - Avoid using Semble if your use case does not involve AI agents or the model-context-protocol (MCP). Competitor tools might offer better features tailored to non-agent-based code search.
- - Not recommended in scenarios where token efficiency is not a concern, as competitors may provide more versatile functionalities without focusing on token reduction.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (bgauryy/octocode) · observed Sep 20, 2026
- GitHub forks (bgauryy/octocode) · observed Sep 20, 2026
- Last push (bgauryy/octocode) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (MinishLab/semble) · observed Sep 20, 2026
- GitHub forks (MinishLab/semble) · observed Sep 20, 2026
- Last push (MinishLab/semble) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: octocode 942 · semble 6.1k (synced Sep 20, 2026).
Common questions
- What is the difference between octocode and semble?
- octocode: MCP server for semantic code research with LLM patterns. semble: Fast and Accurate Code Search for Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose octocode over semble?
- Choose octocode over semble when octocode is primarily TypeScript; semble is Python; Tags unique to octocode: agent, ai-tools, code-intelligence, context; Also covers LLM Frameworks; When you need to search across both public and private repositories based on your user permissions.
- When should I choose semble over octocode?
- Choose semble over octocode when semble is primarily Python; octocode is TypeScript; Requirements: Operating with Python, Semble does not require Docker for its operation.; Tags unique to semble: agents, embeddings, mcp, retrieval; - Use Semble when you are specifically working with AI agents or models and require efficient, token-economical code search operations.
- When should I avoid octocode?
- If your use case does not require real-time semantic context generation from large language models (LLMs). When you have no need for integrating with public and private repositories via their permissions system.
- When should I avoid semble?
- - Avoid using Semble if your use case does not involve AI agents or the model-context-protocol (MCP). Competitor tools might offer better features tailored to non-agent-based code search. - Not recommended in scenarios where token efficiency is not a concern, as competitors may provide more versatile functionalities without focusing on token reduction.
- Is octocode or semble more popular on GitHub?
- semble has more GitHub stars (6,112 vs 942). Stars measure visibility, not whether either tool fits your constraints.
- Are octocode and semble open source?
- Yes - both are open-source projects on GitHub (octocode: MIT, semble: MIT).
- Where can I find alternatives to octocode or semble?
- GraphCanon lists graph-backed alternatives at octocode alternatives and semble alternatives (octocode markdown twin, semble 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, octocode or semble?
- octocode: Very active. semble: Very 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 octocode and semble?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: octocode trust report; semble trust report.