By jmylchreest
Orchestrate multi-agent autonomous development workflows: decompose features into testable stories, run parallel SDLC pipelines with isolated git worktrees, fix build/lint/TypeScript errors, execute TDD cycles, and inspect swarm state—all while enforcing tool-use policies and persisting session context via reflective memories.
Triage static analysis findings, assess merit, and accept noise or irrelevant items
Full autonomous execution - keeps working until all tasks are verified complete
Fix build, lint, and type errors
Search code symbols, find function calls, and analyze codebase
Analyze current session context and token usage from OpenCode SQLite database
Matches all tools
Hooks run on every tool call, not just specific ones
Admin access level
Server config contains admin-level keywords
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Persistent memory, code intelligence, and multi-agent orchestration for AI coding assistants. Works with Claude Code, OpenCode, and Codex CLI.
Prerequisite: Bun — the only runtime dependency. The Go binary downloads automatically.
Claude Code:
claude plugin marketplace add jmylchreest/aide
claude plugin install aide@aide
OpenCode:
bunx @jmylchreest/aide-plugin install
Codex CLI:
bunx @jmylchreest/aide-plugin install --platform codex
The Go binary downloads automatically on first run. Skills become available immediately.
| Capability | What it does |
|---|---|
| Memory | Remembers preferences and context across sessions |
| Decisions | Records architectural choices, enforces them in every session |
| Blueprints | Seeds best-practice decisions for Go, Rust, GitHub Actions, and more |
| Code Index | Fast symbol search, call graphs, and references via tree-sitter |
| Static Analysis | Detects complexity, coupling, secrets, and code duplication |
| Survey | Maps codebase structure: modules, entry points, tech stack, churn hotspots |
| Skills | 23 built-in workflows triggered by natural language |
| Swarm | Parallel agents with full SDLC pipelines (design, test, implement, verify, docs) |
| 34 MCP Tools | Full programmatic access to all capabilities above |
Survey this codebase and help me understand its structure.
AIDE indexes symbols, discovers modules, tech stack, entry points, and git churn hotspots, then presents the big picture. Full guide
Bootstrap with curated best practices, then customise:
aide blueprint import go go-github-actions # seeds decisions from blueprints
aide blueprint import --detect # or auto-detect from project markers
Then refine with the decide skill for project-specific choices:
Help me decide on the auth strategy and database schema for this project.
Blueprints cover language idioms, tooling, CI/CD, and common pitfalls. The decide skill handles project-specific architectural choices. Both persist across every future session. Full guide
Export decisions and memories to git-friendly markdown, then commit them:
aide share export # writes to .aide/shared/
git add .aide/shared && git commit -m "share: team decisions"
Teammates who add AIDE_SHARE_AUTO_IMPORT=1 to .claude/settings.json get them imported automatically at session start. Decisions are append-only per topic (new ones supersede, history kept); memories merge by ULID (newer edits win).
Teammates without AIDE can still use the folder. Each .aide/shared/decisions/*.md and .aide/shared/memories/*.md is self-contained markdown with structured frontmatter — any AI assistant can ingest them as context. A short DECISIONS.md / MEMORIES.md explainer is written alongside the exports to document the format. Full guide
Skills are markdown workflows triggered by keywords. Type naturally — trigger matching is fuzzy.
npx claudepluginhub jmylchreest/aide --plugin aide11 agents, 35 skills, 18 commands, 9 hooks — spec-driven multi-agent orchestration for Claude Code, with optional cross-device semantic memory.
Harness for Claude Code — skills, /harness:* slash commands, persona subagents, lifecycle hooks, and MCP tools without per-repo `harness setup`. Sibling plugins exist for Cursor, Gemini CLI, and Codex.
(Alpha) Persistent memory, architectural decisions, and safety guardrails for Claude Code. Your agent starts every session with full project context — stack, decisions, patterns, safety rules, and a handoff from the previous session.
Plugin for effective agentic development
Persistent memory, shared standards, and structured workflows for AI coding agents. Detects project setup and injects agent context automatically.
Interactive skill that analyzes a task, proposes an agent team composition, and creates the team after user confirmation