timowhite88/farnsworth-syntek
by Various
Farnsworth SYNTEK — 7-layer recursive agent memory with context branching, holographic recall, and on-chain persistence.
MCP
timowhite88/farnsworth-syntek
Added 1 June 2026
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.
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
Pairs with
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