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BabyAGI

by Yohei Nakajima

System Card

OrganizationYohei Nakajima
Released2023-01
Architectureagentic-workflow / Self-building "functionz" graph
DetailsNew BabyAGI is a `functionz` framework: a graph-based store of agent functions with dependency tracking, import management, and AI-powered code generation that lets the agent author new functions.
Parameters—
Domainagent-memorylifelong-learning
Open SourceYes
CodeRepository
functionzself-buildinggraphcanonical

Capability Profile

Benchmark Scores

6 of 14 benchmarks
Data Transparency:6 estimated
Long-Context Retrieval
0/5
RULER
no data
NIAH
no data
LooGLE
no data
LongBench
no data
∞Bench
no data
Multi-Turn Recall
2/2
LoCoMo
75.655pEstimated
MemoryBank
74.741pEstimated
Cross-Session Memory
1/1
LongMemEval
80.985pEstimated
Multi-Hop QA
2/3
BABILong
73.129pEstimated
MultiHop-RAG
no data
HotpotQA
72.658pEstimated
Agent Task Memory
1/1
AgentBench-Mem
7226pEstimated
Personalization
0/1
PerLTQA
no data
Factuality / Grounding
0/1
RAGAS
no data
Sources:Arena estimate — derived from capability profile, not independently verified