IDKMesh has a broad long-term vision: coordinate humans, AI agents, knowledge, tasks, and heterogeneous compute from one laptop to very large networks.
The current roadmap correctly emphasizes experimentation and progressive scaling, but the project needs a smaller user-facing artifact that:
The ecosystem already contains agent harnesses and emerging interoperability standards, so building a new all-purpose agent implementation is not the highest-value first step.
The first IDKMesh reference product will be a Git-native Verified Swarm Runner.
The runner will accept a bounded repository task, execute multiple candidate workers through adapters in isolated worktrees/branches, independently verify results, and produce an evidence-backed report for human review.
The first release will not automatically merge candidate work into the canonical branch.
bounded repository task
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IDKMesh Work Contract
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coordinator / decomposition
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multiple isolated worker attempts
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candidate patches/artifacts
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independent verification
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Evidence Report
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human/project integration decision
The architecture should support replaceable adapters.
Initial target categories:
Git already provides:
IDKMesh should initially strengthen these workflows rather than replace them.
The core thesis is not that more generated code is valuable.
It is that diverse contributors can create more verified useful work if the system separates generation from evidence and integration.
Therefore the product should make verification visible in its normal output rather than bolting it on later.
Positive:
Risk:
Mitigation:
Treat distributed software engineering as a reference DomainPack/product, while keeping Core interfaces domain-independent where justified by evidence.
Rejected for now. Networking would multiply security, churn, and protocol complexity before the local coordination hypothesis is proven.
Rejected as the primary product. The ecosystem has capable open agent harnesses; IDKMesh should test them behind adapters.
Community tooling is important, but GitHub is already the effective front door. The project should first create an experiment/product worth gathering around while improving GitHub-native community workflows in parallel.
Rejected. Incentives and settlement should follow demonstrated useful work.
The next implementation priorities become:
Revisit if experiments show that:
docs/planning/EXECUTION_TARGET_GRAPH.mdEVOLUTION.mdIDKIPS.mdidkips/0001-interoperability-first-work-contract.md