AI/ML●Mid
Ebbforge - 10M agent Rust swarm engine, 8 fundamental benchmarks
Rust swarm vs LLM agents is clever positioning, but benchmarks are self-designed and lack third-party validation.
Big BrainWizardry
agent-world
213mo ago
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GitHub Repository
Cognitive memory for AI agents — learns from use, forgets what's irrelevant, strengthens what matters. Single binary, fully offline.
214 starsRust
Shodh– AI memory that learns from use, no LLM calls, single Rust binary
by Varun_shodh·Feb 28, 2026·6 points·1 comment
AI Analysis
●●●BangerWizardryBig BrainZero to One
Offline AI memory that learns without LLM calls—Hebbian decay plus vectorization beats mem0 architecture.
Strengths
- •Genuinely novel approach: Hebbian learning + mathematical decay instead of API-dependent competitors
- •Zero external dependencies (no OpenAI, Neo4j, vector DB) with 55ms memory storage vs 20+ seconds for alternatives
- •Multi-language support (Rust, Node, Python, Docker) with MCP integration for Claude/Cursor
Weaknesses
- •Early ecosystem (104 GitHub stars, minimal production case studies)
- •Comparison table vs mem0/Cognee/Zep claims superiority but lacks independent benchmarks
Category
Target Audience
AI agent developers, self-hosted AI enthusiasts
Similar To
mem0 · Cognee · Zep
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