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AgentCrew v0.2.0 expands the conversation-first product team workflow. Describe an idea or outcome; AgentCrew selects and coordinates the roles, while you retain consequential product, risk, cost, release, and merge decisions.
Highlights
- CEO-led discovery and planning, executive briefs, private preferences, and explicit execution approval.
- Software Architect Agent, architecture decisions, and conformance review routing.
- Evidence-backed development, testing, review, and bounded specialist rework.
- Continuations that preserve required specialists and the actual pending approval phase.
- Provider-neutral adapters, a generic host loader, and project-local state with containment checks.
- Hardened command execution and Git inspection, protocol validation, and budget controls for paid execution and advice.
- A repeatable offline
agentcrew demo, plus a terminal GIF and transcript in the README.
Setup And Compatibility
- Direct engine runs require
--backendor a backend in.agentcrew/config.yaml. - Engine command execution requires Linux, Bubblewrap, and working user namespaces. The host-agent Markdown workflow remains portable.
- Product approval does not imply approval of a new cost preview. Hosts must obtain the relevant approval before supplying
--approve-decisionor--approve-cost. - Cached, unsupported, or incompletely reported usage remains unresolved rather than appearing free. A configured daily cap cannot be verified until that uncertainty is resolved or explicitly accepted.
- Free advice creates no workflow state; paid engine advice writes a minimal billing ledger.
Validation
- 580 non-live tests passed locally; 2 live-provider tests were excluded.
- The offline demo reaches
ready_for_human_approvalwith zero model API calls. - Python compilation, shell syntax, dependency consistency, and diff checks passed.
See the changelog and engine setup for details.