timowhite88/farnsworth-syntek

Overview

Farnsworth SYNTEK implements a 7-layer recursive memory system for AI agents with context branching and holographic recall. It stores agent state on-chain for persistence and auditability. The project is at an early experimental stage with a single star.

Best for

Best for
Developers experimenting with advanced agent memory architectures or blockchain-anchored agent state

Use cases

• Maintaining branching conversational context in agent interactions
• Persisting agent memory on a blockchain for transparency
• Exploring recursive memory layers for complex reasoning

Notes

Farnsworth SYNTEK implements a 7-layer recursive memory system for AI agents with context branching and holographic recall. It stores agent state on-chain for persistence and auditability. The project is at an early experimental stage with a single star.

1 stars on GitHub. Last updated 2026-02-24.

Use cases

• Maintaining branching conversational context in agent interactions
• Persisting agent memory on a blockchain for transparency
• Exploring recursive memory layers for complex reasoning

Pros

• Open source and available for inspection
• Multi-layer memory architecture for deep context
• On-chain persistence provides immutable state records

Cons

• Very early stage with minimal adoption and testing
• On-chain storage may incur latency and cost
• Novel concepts like holographic recall lack proven benchmarks

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.