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What you can do with Resimind

ResiMind is an open-source Python architecture that checks agent steps with independent verifiers and reuses checked rules.

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1105216375-alt/resimind on GitHub

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What do you want to do?

5 use cases

  • Give an existing agent exact algebra checks via MCP

    Connect ResiMind's five MCP math tools so an agent verifies bounded polynomial algebra.

    View prompt
    Using the ResiMind repo at <repo path>, connect its five MCP math tools to my agent and verify the algebra step in <target expression>. Expected output: an accept or reject verdict for that step. Verify that a deliberately wrong step is rejected before trusting the tool.

  • Teach an agent a bounded verify-and-repair workflow

    Install the algebra repair Skill so an agent checks, repairs, and reports failed steps.

    View prompt
    Using the ResiMind repo at <repo path>, install the verify-and-repair-algebra Skill into my agent and run it on the algebra problem <problem text>. Expected output: a verified solution or a list of unresolved residuals. Verify that the agent reports a failed check rather than presenting an unchecked answer as final.

  • Test whether a math tool rejects a convincing wrong answer

    Run the nine-call integration probe to see reject, repair, learn, and recall before adopting it.

    View prompt
    Using the ResiMind repo at <repo path>, run the nine-call integration probe from docs/algebra-repair-cases.md against my agent. Expected output: a table of reject, repair, learn, recall, and unsupported-scope results. Verify that the wrong-answer call is rejected before any repair is accepted.

  • Check a support refund amount before it reaches a customer

    Run the customer support demo to see a wrong refund proposal rejected by its calculation.

    View prompt
    Using the ResiMind repo at <repo path>, run the customer support demo and show how a proposed refund is checked against the configured calculation. Expected output: the ¥259 proposal rejected against the ¥249 calculation. Verify that the rejection reason is shown and no refund is committed.

  • Reject an unfeasible travel itinerary before presenting it

    Run the offline planning demo to see time, budget, and route constraints reject a bad plan.

    View prompt
    Using the ResiMind repo at <repo path>, run the open-planning demo and report which candidate itineraries are rejected and why. Expected output: rejected plans with the failed time, budget, or route constraint named. Verify that accepted plans satisfy every supplied hard constraint.

How to use Resimind

  1. Check you have what it needs: Python 3.10+ for the core; Python 3.11+ for the optional MCP tools; git and a shell (Bash, Zsh, or Windows PowerShell); No API key needed for the offline demos.
  2. Open 1105216375-alt/resimind on GitHub and read the README and license.
  3. git clone https://github.com/1105216375-alt/resimind.git
  4. cd resimind
  5. python -m venv .venv
  6. source .venv/bin/activate

These steps come from our top use case, Give an existing agent exact algebra checks via MCP, which also has a copy-paste agent prompt.

Resimind alternatives · Best AI repos for Software and DevOps

About this repo

Requirements

  • Python 3.10+ for the core; Python 3.11+ for the optional MCP tools
  • git and a shell (Bash, Zsh, or Windows PowerShell)
  • No API key needed for the offline demos
  • Optional: an installed Lean 4.29.0 toolchain for the Lean example
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Questions about Resimind

What is Resimind?

ResiMind is an open-source Python architecture that checks agent steps with independent verifiers and reuses checked rules. It is an open-source project on GitHub: https://github.com/1105216375-alt/resimind.

Who is Resimind for?

Developers building AI agents who need exact checks and verified memory before they trust model output.

What can I do with Resimind?

5 use cases so far, for example: Give an existing agent exact algebra checks via MCP; Teach an agent a bounded verify-and-repair workflow; Test whether a math tool rejects a convincing wrong answer. Each has steps and a copy-paste agent prompt.

What do I need to run Resimind?

Python 3.10+ for the core; Python 3.11+ for the optional MCP tools; git and a shell (Bash, Zsh, or Windows PowerShell); No API key needed for the offline demos; Optional: an installed Lean 4.29.0 toolchain for the Lean example.

What are alternatives to Resimind?

Other hot AI repos in Software and DevOps: Harness2, iFixAi, Orca, Diagram Design, AI Memory.

Is Resimind safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.