Resimind

ResiMind is an open-source neuro-symbolic agent architecture that provides verified memory and self-correction.

ResiMind is an open-source neuro-symbolic agent architecture that connects independent verification, residual-guided self-correction, and reusable rule memory. It is designed for developers building AI agents that need to catch errors, keep insights, and give subsequent tasks a checked head start. Models, rules, or symbolic tools propose steps while domain checks decide what becomes a fact. Failed checks guide future attempts, and checked solutions can become checked rules that grow knowledge outside the model without changing weights. The core runs on Python 3.10+ with no runtime dependencies, while optional MCP requires Python 3.11+. It handles domains like bridge engineering, constrained optimization, customer support, and open-ended planning.

Resimind at a glance

Best for: Software engineer, Researcher
Runs on: Python, API
Pricing: Free and open source
Released: October 2026
Category: AI agent tool
Website: github.com/1105216375-alt/resimind

Key features

Independent verification of candidate rules
Residual-guided self-correction
Reusable rule memory
Bounded Lean planner for proof composition
Sparse rational certificates for exact computation
Model-free offline demo execution
MCP support for algebra tools

Use it for

Bridge engineering load and rotation checks
Constrained optimization and exact optimality certificates
Customer support policy and arithmetic validation
Open-ended constraint-based planning

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