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HybridAGI

by SynaLinks

System Card

OrganizationSynaLinks
Released2023-01
Architecturehybrid / Graph-based prompt programming (neuro-symbolic)
DetailsLLM-based agent OS where behavior is expressed as a graph program, rooted in symbolic AI and cognitive science. Memory is graph-structured prompts + deterministic traversal; positioned as "Keras for LLM agents" on top of DSPy.
Parameters—
Domainagent-memoryknowledge-graph
Open SourceYes
WebsiteVisit
CodeRepository
neuro-symbolicgraph-programdspykeras-like

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
1/2
LoCoMo
69.324pEstimated
MemoryBank
no data
Cross-Session Memory
1/1
LongMemEval
75.146pEstimated
Multi-Hop QA
2/3
BABILong
no data
MultiHop-RAG
71.346pEstimated
HotpotQA
76.782pEstimated
Agent Task Memory
1/1
AgentBench-Mem
7226pEstimated
Personalization
0/1
PerLTQA
no data
Factuality / Grounding
1/1
RAGAS
74.290pEstimated
Sources:Arena estimate — derived from capability profile, not independently verified