Comparison
RD-Agent vs agency
Verdict
Pick RD-Agent if rD-Agent is an automation tool for AI-driven R&D processes, focusing on data and model development using Python with support from Docker installations; pick agency if agency is a Go-idiomatic library aimed at developers looking to work with Large Language Models and generative AI techniques.
Markdown twin · RD-Agent alternatives · agency alternatives
GraphCanon updated today
Trust & integrity
| Signal | RD-Agent | agency |
|---|---|---|
| Maintenance | Active (14d since push) As of today · github_public_v1 | Dormant (559d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of 4w · 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
- RD-Agent
- Automating high-value R&D processes through AI-driven data science and model development.
- agency
- Library for exploring Large Language Models and generative AI in Go
Stars
- RD-Agent
- 14k
- agency
- 512
Forks
- RD-Agent
- 1.8k
- agency
- 36
Open issues
- RD-Agent
- 198
- agency
- 4
Language
- RD-Agent
- Python
- agency
- Go
Adopt for
- RD-Agent
- RD-Agent is an automation tool for AI-driven R&D processes, focusing on data and model development using Python with support from Docker installations.
- agency
- Agency is a Go-idiomatic library aimed at developers looking to work with Large Language Models and generative AI techniques.
Persona
- RD-Agent
- -
- agency
- -
Runtime
- RD-Agent
- -
- agency
- -
License
- RD-Agent
- MIT
- agency
- MIT
Last pushed
- RD-Agent
- Aug 4, 2026
- agency
- Jan 8, 2025
Categories
- RD-Agent
- AI Agents, Data & Retrieval, Model Training
- agency
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- RD-Agent
- Active (82%)
- agency
- Dormant (18%)
Days since push
- RD-Agent
- 14d
- agency
- 559d
Open issues (now)
- RD-Agent
- 198
- agency
- 4
Stars delta
- RD-Agent
- +332 (30d)
- agency
- Unknown
Open issues delta
- RD-Agent
- +5 (30d)
- agency
- Unknown
OSV dependency advisories
- RD-Agent
- Published findings
- agency
- No lockfile (source not queried)
Full report
- RD-Agent
- Trust report
- agency
- Trust report
Choose RD-Agent if…
- RD-Agent is primarily Python; agency is Go.
- Pricing: RD-Agent operates under the MIT license allowing free use of the tool. Its framework for R&D automation can be expanded with premium services for enterprise-level support and integration if needed..
- Requirements: Requires Docker; Ensure Docker is installed beforehand and accessible without `sudo` by the current user for RD-Agent operation.; Supports Python installations via PyPI or development setup from source, which also requires installation of dependencies as per the documentation..
- Tags unique to RD-Agent: agent, ai, automation, data-mining.
- Also covers Data & Retrieval, Model Training.
- When you require automation in high-value R&D tasks that revolve around data science and model development within the AI domain.
When NOT to use RD-Agent
- When the need arises to work in an environment where Python cannot be used or there is a requirement for another programming language framework that complements existing infrastructure better.
- If your development team lacks expertise with Docker and is not willing or able to adopt it, as most scenarios within RD-Agent require a solid Docker setup.
Choose agency if…
- agency is primarily Go; RD-Agent is Python.
- Pricing: Agency is available under MIT license and is free for use, modification, and distribution. Additional services or integrations might involve costs not outlined within the repository..
- Tags unique to agency: agents, generative-ai, go, language-models.
- Also covers LLM Frameworks.
- If you're proficient in Go and want to implement LLMs within a familiar ecosystem, consider agency.
When NOT to use agency
- Avoid agency if your primary programming expertise lies outside of the Go ecosystem.
- Not recommended if you require real-time performance characteristics that surpass what typical LLM exploration libraries can provide.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (microsoft/RD-Agent) · observed Aug 19, 2026
- GitHub forks (microsoft/RD-Agent) · observed Aug 19, 2026
- Last push (microsoft/RD-Agent) · observed Aug 4, 2026
- License file (MIT) · observed Aug 19, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (neurocult/agency) · observed Jul 21, 2026
- GitHub forks (neurocult/agency) · observed Jul 21, 2026
- Last push (neurocult/agency) · observed Jan 8, 2025
- License file (MIT) · observed Jul 21, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: RD-Agent 14k · agency 512 (synced Aug 19, 2026).
Common questions
- What is the difference between RD-Agent and agency?
- RD-Agent: Automating high-value R&D processes through AI-driven data science and model development.. agency: Library for exploring Large Language Models and generative AI in Go. See the comparison table for live GitHub stats and shared categories.
- When should I choose RD-Agent over agency?
- Choose RD-Agent over agency when RD-Agent is primarily Python; agency is Go; Pricing: RD-Agent operates under the MIT license allowing free use of the tool. Its framework for R&D automation can be expanded with premium services for enterprise-level support and integration if needed.; Requirements: Requires Docker; Ensure Docker is installed beforehand and accessible without
sudoby the current user for RD-Agent operation.; Supports Python installations via PyPI or development setup from source, which also requires installation of dependencies as per the documentation.; Tags unique to RD-Agent: agent, ai, automation, data-mining; Also covers Data & Retrieval, Model Training; When you require automation in high-value R&D tasks that revolve around data science and model development within the AI domain. - When should I choose agency over RD-Agent?
- Choose agency over RD-Agent when agency is primarily Go; RD-Agent is Python; Pricing: Agency is available under MIT license and is free for use, modification, and distribution. Additional services or integrations might involve costs not outlined within the repository.; Tags unique to agency: agents, generative-ai, go, language-models; Also covers LLM Frameworks; If you're proficient in Go and want to implement LLMs within a familiar ecosystem, consider agency.
- When should I avoid RD-Agent?
- When the need arises to work in an environment where Python cannot be used or there is a requirement for another programming language framework that complements existing infrastructure better. If your development team lacks expertise with Docker and is not willing or able to adopt it, as most scenarios within RD-Agent require a solid Docker setup.
- When should I avoid agency?
- Avoid agency if your primary programming expertise lies outside of the Go ecosystem. Not recommended if you require real-time performance characteristics that surpass what typical LLM exploration libraries can provide.
- Is RD-Agent or agency more popular on GitHub?
- RD-Agent has more GitHub stars (14,275 vs 512). Stars measure visibility, not whether either tool fits your constraints.
- Are RD-Agent and agency open source?
- Yes - both are open-source projects on GitHub (RD-Agent: MIT, agency: MIT).
- Where can I find alternatives to RD-Agent or agency?
- GraphCanon lists graph-backed alternatives at RD-Agent alternatives and agency alternatives (RD-Agent markdown twin, agency 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, RD-Agent or agency?
- RD-Agent: Active. agency: Dormant. 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 RD-Agent and agency?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: RD-Agent trust report; agency trust report.