REPOGEO REPORT · LITE

framersai/agentos

Default branch master · commit 0ea9f906 · scanned 6/17/2026, 10:27:08 AM

GitHub: 580 stars · 80 forks

AI VISIBILITY SCORE

40 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 warn · 0 fail

Objective metadata checks

AI knows your name

3 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface framersai/agentos, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

highreadme#1

Reposition README H1 to highlight unique capabilities

Why:

CURRENT

# **AgentOS** · TypeScript AI Agent Framework

COPY-PASTE FIX

# **AgentOS** · TypeScript AI Agent Framework for Cognitive Memory, Runtime Tool Forging, and Multi-Agent Orchestration

mediumtopics#2

Add more specific TypeScript-related agent topics

Why:

CURRENT

agent-framework, agent-memory, agentic-ai, ai-agent-framework, ai-agents, autonomous-agents, cognitive-memory, emergent-behavior, guardrails, hexaco, llm, llm-orchestration, long-term-memory, multi-agent, rag, runtime-tool-generation, tool-use, vector-search, voice-ai

COPY-PASTE FIX

agent-framework, agent-memory, agentic-ai, ai-agent-framework, ai-agents, autonomous-agents, cognitive-memory, emergent-behavior, guardrails, hexaco, llm, llm-orchestration, long-term-memory, multi-agent, rag, runtime-tool-generation, tool-use, vector-search, voice-ai, typescript-ai-agents, typescript-agent-framework

mediumreadme#3

Add a 'Why AgentOS?' section to emphasize differentiators

Why:

COPY-PASTE FIX

## Why AgentOS?
AgentOS stands out by providing a structured framework for the entire lifecycle of AI agents, emphasizing reproducibility, versioning, and a registry for agents and their components. Key differentiators include:
*   **Unrivaled Memory Benchmarks:** Achieved 85.6% on LongMemEval-S and 70.2% on LongMemEval-M, making it the only open-source library above 65% on M with reproducible methodology.
*   **Runtime Tool Forging:** Agents dynamically write, approve, and execute TypeScript functions in a hardened sandbox.
*   **Multi-Agent Orchestration:** Seamlessly manage and coordinate complex interactions between multiple AI agents.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface framersai/agentos

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

LangChain.js

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

LangChain.js · recommended 1×
LlamaIndex.TS · recommended 1×
AgentProtocol.js · recommended 1×
OpenAI API · recommended 1×
Azure OpenAI Service · recommended 1×

CATEGORY QUERY
TypeScript framework for building AI agents with persistent cognitive memory and runtime tool generation?
you: not recommended
AI recommended (in order):
1. LangChain.js
2. LlamaIndex.TS
3. AgentProtocol.js
4. OpenAI API
5. Azure OpenAI Service
6. Pinecone
7. Weaviate
8. Qdrant
9. Redis
10. PostgreSQL
11. TypeChat
AI recommended 11 alternatives but never named framersai/agentos. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How to orchestrate multiple AI agents that remember and dynamically create their own tools?
you: not recommended
AI recommended (in order):
1. LangChain
2. LlamaIndex
3. AutoGPT
4. BabyAGI
5. Semantic Kernel
6. OpenAI Function Calling
AI recommended 6 alternatives but never named framersai/agentos. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
pass
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of framersai/agentos?
pass
AI named framersai/agentos explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts framersai/agentos in production, what risks or prerequisites should they evaluate first?
pass
AI named framersai/agentos explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo framersai/agentos solve, and who is the primary audience?
pass
AI named framersai/agentos explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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MARKDOWN (README)

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HTML

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Pro

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framersai/agentos — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite