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1105216375-alt/resimind

Neuro-symbolic agents with verified memory. MCP math tools, an algebra repair Skill, and an open challenge. Verify solutions, learn checked rules, and reuse.

⭐ 101 stars
⑂ 0 forks
Python
momentum ▲ 168.3
created 2026-10-08
on radar since 2026-10-14
agent-memoryagent-skillsai-agentscustomer-supportknowledge-growthknowledge-reuselean4llm-agentsmathematicsmcpmcp-servermodel-context-protocolneuro-symbolicplanningreasoningresidual-reasoningself-correctionstructural-engineeringsymbolic-reasoningverification
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About resimind

ResiMind — Verified Memory for AI Agents

Catch the error. Keep the insight. Give the next task a checked head start.

Run the demo · Connect MCP · Install the Skill · Take the challenge · 中文

ResiMind is an open-source neuro-symbolic Agent architecture that connects independent verification, residual-guided self-correction and reusable rule memory. Your model, rules or symbolic tools propose a step; domain checks decide what becomes a fact. Failed checks tell the next attempt what still needs fixing.

A checked solution can become a checked rule. Explicit learning extracts candidate rules from completed derivations, independently verifies admission, and rechecks each future application. Knowledge grows outside the model, without changing its weights. When local rules or tools suffice, the supported math routes run with zero model calls.

The core also runs bridge engineering, constrained optimization, customer support and open-ended planning with their own verifiers. Adaptive algebra, rule learning and the five MCP tools currently cover bounded rational polynomials. Core: Python 3.10+, no runtime dependencies. Optional MCP: Python 3.11+.

What you want to do Your entry point --- --- Give an existing Agent exact algebra tools MCP setup · Download MCPB Teach an Agent a bounded verify-and-repair workflow Repair Skill · Install guide Build an Agent with your own checks Architecture · Adapter contract Inspect what has actually been measured Evidence · Release validation

From the project README.

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