Comparison
llm-code-interpreter vs agent-toolkit
Verdict
Pick llm-code-interpreter if a TypeScript-based code interpreter for ChatGPT that enables extensive coding and terminal process execution with internet access; pick agent-toolkit if extends AI coding agent capabilities with Python skills for development and professional workflows.
Markdown twin · llm-code-interpreter alternatives · agent-toolkit alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | llm-code-interpreter | agent-toolkit |
|---|---|---|
| Maintenance | Archived (540d since push) As of 2w · github_public_v1 | Slowing (159d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 1w · github_public_v1 |
| OSV dependency advisories | Published findings 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
- llm-code-interpreter
- Code interpreter for ChatGPT with extensive capabilities
- agent-toolkit
- A curated collection of skills for AI coding agents
Stars
- llm-code-interpreter
- 481
- agent-toolkit
- 2.3k
Forks
- llm-code-interpreter
- 44
- agent-toolkit
- 217
Open issues
- llm-code-interpreter
- 6
- agent-toolkit
- 17
Language
- llm-code-interpreter
- TypeScript
- agent-toolkit
- Python
Adopt for
- llm-code-interpreter
- A TypeScript-based code interpreter for ChatGPT that enables extensive coding and terminal process execution with internet access.
- agent-toolkit
- Extends AI coding agent capabilities with Python skills for development and professional workflows
Persona
- llm-code-interpreter
- -
- agent-toolkit
- -
Runtime
- llm-code-interpreter
- -
- agent-toolkit
- -
License
- llm-code-interpreter
- MIT
- agent-toolkit
- MIT
Last pushed
- llm-code-interpreter
- Feb 11, 2025
- agent-toolkit
- Mar 5, 2026
Categories
- llm-code-interpreter
- Developer Tools, LLM Frameworks
- agent-toolkit
- AI Agents, Developer Tools
Trust and health
Maintenance
- llm-code-interpreter
- Archived (8%)
- agent-toolkit
- Slowing (36%)
Days since push
- llm-code-interpreter
- 540d
- agent-toolkit
- 159d
Archived on GitHub
- llm-code-interpreter
- Yes
- agent-toolkit
- No
Open issues (now)
- llm-code-interpreter
- 6
- agent-toolkit
- 17
OSV dependency advisories
- llm-code-interpreter
- Published findings
- agent-toolkit
- No lockfile (source not queried)
Full report
- llm-code-interpreter
- Trust report
- agent-toolkit
- Trust report
Choose llm-code-interpreter if…
- llm-code-interpreter is primarily TypeScript; agent-toolkit is Python.
- Tags unique to llm-code-interpreter: api, chatgpt, code-execution, code-interpreter.
- Also covers LLM Frameworks.
- llm-code-interpreter ships Docker support for self-hosted deployment.
- - When you require an extended functionality code-interpreter tool for ChatGPT that can run complex codes and terminal processes, this tool offers comprehensive capabilities.
When NOT to use llm-code-interpreter
- - This tool should not be used if waiting for approval from OpenAI is undesirable or impractical for your project timeline.
- - Given its deprecation status, avoid using llm-code-interpreter in production environments where a stable and actively maintained code interpreter is essential.
Choose agent-toolkit if…
- agent-toolkit is primarily Python; llm-code-interpreter is TypeScript.
- Tags unique to agent-toolkit: agent-skills, automation, claude, claude-code.
- Also covers AI Agents.
- For enhancing specific tasks like documentation, planning, and workflow management
When NOT to use agent-toolkit
- If you seek support for languages other than Python
- When working with non-Python based coding agents that require specialized skills not covered by this toolkit
- In cases where custom, from-scratch development is preferred over using pre-packaged scripts
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (e2b-dev/llm-code-interpreter) · observed Aug 6, 2026
- GitHub forks (e2b-dev/llm-code-interpreter) · observed Aug 6, 2026
- Last push (e2b-dev/llm-code-interpreter) · observed Feb 11, 2025
- License file (MIT) · observed Aug 6, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (softaworks/agent-toolkit) · observed Aug 12, 2026
- GitHub forks (softaworks/agent-toolkit) · observed Aug 12, 2026
- Last push (softaworks/agent-toolkit) · observed Mar 5, 2026
- License file (MIT) · observed Aug 12, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: llm-code-interpreter 481 · agent-toolkit 2.3k (synced Aug 6, 2026).
Common questions
- What is the difference between llm-code-interpreter and agent-toolkit?
- llm-code-interpreter: Code interpreter for ChatGPT with extensive capabilities. agent-toolkit: A curated collection of skills for AI coding agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose llm-code-interpreter over agent-toolkit?
- Choose llm-code-interpreter over agent-toolkit when llm-code-interpreter is primarily TypeScript; agent-toolkit is Python; Tags unique to llm-code-interpreter: api, chatgpt, code-execution, code-interpreter; Also covers LLM Frameworks; llm-code-interpreter ships Docker support for self-hosted deployment; - When you require an extended functionality code-interpreter tool for ChatGPT that can run complex codes and terminal processes, this tool offers comprehensive capabilities.
- When should I choose agent-toolkit over llm-code-interpreter?
- Choose agent-toolkit over llm-code-interpreter when agent-toolkit is primarily Python; llm-code-interpreter is TypeScript; Tags unique to agent-toolkit: agent-skills, automation, claude, claude-code; Also covers AI Agents; For enhancing specific tasks like documentation, planning, and workflow management.
- When should I avoid llm-code-interpreter?
- - This tool should not be used if waiting for approval from OpenAI is undesirable or impractical for your project timeline. - Given its deprecation status, avoid using llm-code-interpreter in production environments where a stable and actively maintained code interpreter is essential.
- When should I avoid agent-toolkit?
- If you seek support for languages other than Python When working with non-Python based coding agents that require specialized skills not covered by this toolkit In cases where custom, from-scratch development is preferred over using pre-packaged scripts
- Is llm-code-interpreter or agent-toolkit more popular on GitHub?
- agent-toolkit has more GitHub stars (2,307 vs 481). Stars measure visibility, not whether either tool fits your constraints.
- Are llm-code-interpreter and agent-toolkit open source?
- Yes - both are open-source projects on GitHub (llm-code-interpreter: MIT, agent-toolkit: MIT).
- Where can I find alternatives to llm-code-interpreter or agent-toolkit?
- GraphCanon lists graph-backed alternatives at llm-code-interpreter alternatives and agent-toolkit alternatives (llm-code-interpreter markdown twin, agent-toolkit 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, llm-code-interpreter or agent-toolkit?
- llm-code-interpreter: Archived. agent-toolkit: 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 llm-code-interpreter and agent-toolkit?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llm-code-interpreter trust report; agent-toolkit trust report.