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Aggregate sessions and artifacts so CIC agents share memory and surface promotion candidates.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "cic-mcp-shared" yet — see the docs or source repo.
Summarize the task background, key decisions, related PRs, build artifacts, and risks from the last 10 CIC sessions. Weight them by importance and produce a handoff context summary for the next agent.
A priority-ranked cross-session summary with linked PRs, artifacts, decision history, and follow-up items.
Using multiple CIC session records, test results, PR status, and build artifacts, identify the best candidates to promote to the next environment and explain the rationale, dependencies, and blockers.
A candidate list showing recommended promotions, scoring rationale, dependencies, and potential risks.
Link the PRs, corresponding build artifacts, historical session discussions, and deployment records for the current feature. Generate a relationship view to quickly assess change origin and release status.
A clear relationship view showing mappings and current status across PRs, artifacts, sessions, and deployments.
Aggregate trusted context sources into secure, tagged envelopes for AI agents.
Give AI agents persistent memory, collaboration rooms, and video generation.
Persist, list, and hand off agent outputs with session metadata and deduplication.
Build persistent AI agents with memory, emotion, planning, and identity continuity.
Manage local-first agent memory with versioning, search, ACLs, and sync.
Coordinate multiple AI agents on software projects with shared tasks and context.