Roadmap

Post-hackathon roadmap for ClawMind: harden the MVP, deepen the product, expand the ecosystem, and move toward decentralized agent intelligence.

Roadmap

ClawMind’s roadmap is organized as a post-hackathon execution plan. The current product already demonstrates the core loop: an 8-step due diligence pipeline, 0G Compute inference, 0G Storage receipts, 0G Chain anchoring, EIP-712 operator signatures, semantic memory, and OpenClaw manifest exposure.

The next phases focus on making that loop more reliable, faster, easier to integrate, and eventually more decentralized.

Timeline: 2026 post-hackathon. Durations are approximate and milestone-driven.

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Phase Overview

Phase	Horizon	Focus	Outcome
Q1	1-2 months	Harden the MVP	Stable, tested, observable pipeline with safer production controls.
Q2	2-4 months	Deepen the product	Faster UX, real risk data, stronger memory, and wallet-based signing.
Q3	4-6 months	Ecosystem & reach	Agent SDK, marketplace path, public API, bots, and DAO pilots.
Q4+	6+ months	Long horizon	Decentralized agents, ZK inference proofs, governance, and shared protocol memory.

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Q1 - Harden the MVP

The first phase is about converting the hackathon build into a dependable production system. The priority is not adding more surface area; it is making the existing 8-step pipeline easier to trust, debug, and deploy.

Q1 hardening is partially complete in the public repo: CI/tests, signed-registry audit notes, production rate limiting, and /stats observability are live. Broader end-to-end coverage and deeper external audit automation can continue as follow-up hardening work.

Workstream	Status	Deliverable
Tests	In progress	Unit coverage and 0G mocks are in CI; broader end-to-end coverage remains a follow-up.
CI/CD	Live	Typecheck, lint, app build, unit tests, MCP checks, and Foundry tests run in GitHub Actions.
Contract audit	Live	Foundry tests and Slither findings are documented for AnalysisRegistry.sol; deeper Mythril/external review can be added later.
Observability	Live	/stats and /api/judge expose signed registry status, recent analyses, semantic memory, critic impact, and MCP usage.
Rate limiting	Live	/api/analyze and MCP tool calls enforce production request limits.
Docs	Live / ongoing	Mintlify setup, API, 0G integration, verification, and roadmap docs are published and kept in sync with the app.

Success signal: a contributor can change an agent, contract, or storage path and get fast feedback before the change reaches production.

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Q2 - Deepen the Product

The second phase improves the user experience and analysis quality. ClawMind should feel less like a background job and more like a live due diligence cockpit.

Workstream	Deliverable
Parallel agents	Expand concurrent execution beyond the current Risk + Architect branch where dependencies allow.
SSE streaming	Stream agent progress in real time instead of showing a spinner.
Real risk data	Integrate external risk signals from Forta, GoPlus, and Chainalysis.
Vector memory	Move beyond a flat memory index toward embedding-backed retrieval.
Wallet connect	Let users sign recordAnalysis themselves.
Model routing	Use cheaper models for memory work and stronger models for the Critic.

Success signal: analyses complete faster, explain themselves while running, and include evidence beyond the user’s prompt text.

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Q3 - Ecosystem & Reach

The third phase turns ClawMind from a single app into a composable agent surface. Other developers should be able to plug agents into the pipeline, and real teams should be able to use it in their existing workflows.

Workstream	Deliverable
Agent SDK	Third-party agents via the OpenClaw manifest.
Agent marketplace	Optional token layer for agent discovery and incentives.
Multi-chain reads	ETH, Base, and Arbitrum RPC support for richer protocol context.
Public API	API keys, quotas, and billing.
Discord / Telegram bot	Chat frontends for /api/analyze.
Real users	2-3 DAO due-diligence pilots.

Success signal: ClawMind is no longer only a UI; it becomes infrastructure that teams and agent developers can build on.

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Q4+ - Long Horizon

The long horizon moves ClawMind toward decentralized, verifiable agent intelligence. This phase depends on ecosystem maturity across 0G Compute, proof systems, model registries, and cross-DAO coordination.

Workstream	Deliverable
Decentralized agents	Actors on 0G Compute with reputation.
ZK inference proofs	Verify that an agent actually ran the claimed model.
Governance layer	Canonical prompts and a model registry.
Self-improving memory	Memory pruning, scoring, and decay.
Cross-protocol intelligence	Shared memory across DAOs.

Success signal: due diligence becomes a shared, verifiable intelligence layer instead of a set of isolated reports.

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Roadmap Principles

• Integrity before growth. Reports must remain verifiable through 0G Storage and 0G Chain before new interfaces are added.
• Adversarial review stays central. Product speed should not weaken the Critic’s role or final score calibration.
• Memory must earn trust. Persistent memory should improve analysis quality without letting stale or low-quality data dominate future runs.
• OpenClaw compatibility is a contract. SDK and marketplace work should extend the manifest model rather than bypass it.
• Human approval remains mandatory for high-risk action. ClawMind can support due diligence, but it should not autonomously move funds or approve protocol changes.