Comparison
agentos vs agentic-ai-prompt-research
Verdict
Pick agentos if agentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript; pick agentic-ai-prompt-research if agentic-ai-prompt-research explores functionality and security aspects of agentic AI in coding assistance. This research includes reconstructed prompts for secure coordination.
Markdown twin · agentos alternatives · agentic-ai-prompt-research alternatives
GraphCanon updated today
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Trust & integrity
| Signal | agentos | agentic-ai-prompt-research |
|---|---|---|
| Maintenance | Active (15d since push) As of today · github_public_v1 | Slowing (118d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of 3w · 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
- agentos
- TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration
- agentic-ai-prompt-research
- Research into agentic AI coding assistants focusing on prompt patterns and security
Stars
- agentos
- 617
- agentic-ai-prompt-research
- 2.5k
Forks
- agentos
- 92
- agentic-ai-prompt-research
- 1.1k
Open issues
- agentos
- 10
- agentic-ai-prompt-research
- 3
Language
- agentos
- TypeScript
- agentic-ai-prompt-research
- -
Adopt for
- agentos
- AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript.
- agentic-ai-prompt-research
- agentic-ai-prompt-research explores functionality and security aspects of agentic AI in coding assistance. This research includes reconstructed prompts for secure coordination.
Persona
- agentos
- -
- agentic-ai-prompt-research
- -
Runtime
- agentos
- -
- agentic-ai-prompt-research
- -
License
- agentos
- Apache-2.0
- agentic-ai-prompt-research
- -
Last pushed
- agentos
- Aug 7, 2026
- agentic-ai-prompt-research
- Mar 31, 2026
Categories
- agentos
- AI Agents
- agentic-ai-prompt-research
- AI Agents
Trust and health
Maintenance
- agentos
- Active (82%)
- agentic-ai-prompt-research
- Slowing (36%)
Days since push
- agentos
- 15d
- agentic-ai-prompt-research
- 118d
Open issues (now)
- agentos
- 10
- agentic-ai-prompt-research
- 3
Stars delta
- agentos
- +16 (30d)
- agentic-ai-prompt-research
- Unknown
Open issues delta
- agentos
- +1 (30d)
- agentic-ai-prompt-research
- Unknown
Owner type
- agentos
- Organization
- agentic-ai-prompt-research
- User
Full report
- agentos
- Trust report
- agentic-ai-prompt-research
- Trust report
Choose agentos if…
- Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent.
- Need for cognitive memory and real-time tool generation in AI agents
- More recently updated (last pushed Aug 7, 2026).
When NOT to use agentos
- Preferring frameworks without multi-agent orchestration support
- Prioritizing environments with less than eleven LLM provider options
Choose agentic-ai-prompt-research if…
- Tags unique to agentic-ai-prompt-research: agentic-ai, coding-assistants, prompt-engineering, security-classification.
- If you are specifically interested in the working mechanisms of agentic AI with a focus on Claude, it is suited for your needs.
- More GitHub stars (2.5k vs 617) - visibility, not fit.
When NOT to use agentic-ai-prompt-research
- Avoid if your primary interest lies in generic AI agent behavior without emphasis on secure coordination methods.
- Not suitable for those whose research does not center around specific prompts and their reconstruction techniques.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (framerslab/agentos) · observed Aug 23, 2026
- GitHub forks (framerslab/agentos) · observed Aug 23, 2026
- Last push (framerslab/agentos) · observed Aug 7, 2026
- License file (Apache-2.0) · observed Aug 23, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Leonxlnx/agentic-ai-prompt-research) · observed Jul 28, 2026
- GitHub forks (Leonxlnx/agentic-ai-prompt-research) · observed Jul 28, 2026
- Last push (Leonxlnx/agentic-ai-prompt-research) · observed Mar 31, 2026
- License file (unknown) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentos 617 · agentic-ai-prompt-research 2.5k (synced Aug 23, 2026).
Common questions
- What is the difference between agentos and agentic-ai-prompt-research?
- agentos: TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration. agentic-ai-prompt-research: Research into agentic AI coding assistants focusing on prompt patterns and security. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentos over agentic-ai-prompt-research?
- Choose agentos over agentic-ai-prompt-research when Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent; Need for cognitive memory and real-time tool generation in AI agents; More recently updated (last pushed Aug 7, 2026).
- When should I choose agentic-ai-prompt-research over agentos?
- Choose agentic-ai-prompt-research over agentos when Tags unique to agentic-ai-prompt-research: agentic-ai, coding-assistants, prompt-engineering, security-classification; If you are specifically interested in the working mechanisms of agentic AI with a focus on Claude, it is suited for your needs; More GitHub stars (2.5k vs 617) - visibility, not fit.
- When should I avoid agentos?
- Preferring frameworks without multi-agent orchestration support Prioritizing environments with less than eleven LLM provider options
- When should I avoid agentic-ai-prompt-research?
- Avoid if your primary interest lies in generic AI agent behavior without emphasis on secure coordination methods. Not suitable for those whose research does not center around specific prompts and their reconstruction techniques.
- Is agentos or agentic-ai-prompt-research more popular on GitHub?
- agentic-ai-prompt-research has more GitHub stars (2,498 vs 617). Stars measure visibility, not whether either tool fits your constraints.
- Are agentos and agentic-ai-prompt-research open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to agentos or agentic-ai-prompt-research?
- GraphCanon lists graph-backed alternatives at agentos alternatives and agentic-ai-prompt-research alternatives (agentos markdown twin, agentic-ai-prompt-research 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, agentos or agentic-ai-prompt-research?
- agentos: Active. agentic-ai-prompt-research: 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 agentos and agentic-ai-prompt-research?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentos trust report; agentic-ai-prompt-research trust report.