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It briefs and runs agents in isolated git worktrees for a single run or a multi-wave goal, re-runs the checks itself instead of trusting the agent's report, and remembers what it learns so each brief is smarter than th","maintainers":[{"name":"kush18","email":"18kushaljain@gmail.com"}],"readme":"# Kage — repo memory for AI coding agents\n\nLocal-first repo memory, code graph, and recall tools for MCP-capable coding\nagents (Codex, Claude Code, Cursor, etc.).\n\nKage helps agents stop rediscovering the same project context. It stores\nreviewable repo memory, builds generated recall/code indexes, and exposes the\nresult through an MCP server plus a CLI.\n\n- Website: https://kage-core.github.io/Kage/\n- Docs: https://kage-core.github.io/Kage/guide.html\n- Hosted viewer: https://kage-core.github.io/Kage/viewer/\n\n## Install\n\nRequires Node.js 18 or newer. The package installs two binaries: `kage` and\n`kage-graph-mcp`.\n\n```bash\nnpm install -g @kage-core/kage-graph-mcp\ncd your-repo\nkage init --project .\nkage setup codex --project . --write\n# or: kage setup claude-code --project . --write\n# restart the agent once\nkage setup verify-agent --agent codex --project .\nkage recall \"how do I run tests\" --project .\n```\n\nOther supported targets: Cursor, Windsurf, Gemini CLI, OpenCode, Cline, Goose,\nRoo Code, Kilo Code, Claude Desktop, Aider, generic MCP (`kage setup list`).\n\n## What you get\n\n- Repo-local memory for decisions, runbooks, bug fixes, gotchas, conventions,\n  and code explanations.\n- Claude Code ambient hooks for prompt-time recall, tool-result observation,\n  failure capture, pre-compact/session-end distillation, and stop-time review\n  refresh.\n- A code graph for files, symbols, imports, confidence-scored calls, routes\n  (FastAPI / Flask / Django / Rails / Laravel / Spring / Go / Rust / ASP.NET),\n  tests, and packages.\n- Memory-code links so repo knowledge points at the code it affects.\n- Local git intelligence: risk, reviewers, contributors, co-change warnings,\n  ownership silos, module health.\n- Conservative cleanup review input (unreferenced files, unused exports,\n  internal-looking unused symbols). Never deletes code.\n- A local viewer for memory, code graph, risks, review, and metrics, served\n  with conservative browser security headers.\n- Local memory-access tracking in `.agent_memory/reports/memory-access.json`\n  so agents can learn which memories are reused and recommend what to verify,\n  ground, or clean up without changing shareable packet files on every recall.\n- Memory lifecycle reporting in `.agent_memory/reports/lifecycle.json` so\n  teammates can review healthy, hot, stale, disputed, ungrounded, pending, and\n  generated packets with concrete actions.\n- Memory timeline reporting in `.agent_memory/reports/timeline.json` so\n  handoffs show recently added, updated, pending, and retired repo knowledge.\n- Memory lineage reporting in `.agent_memory/reports/lineage.json` so\n  superseded packets point at the current replacement memory agents should use.\n- Memory audit reporting in `.agent_memory/audit/events.jsonl` and\n  `.agent_memory/reports/memory-audit.json` so memory mutations are reviewable.\n- Memory handoff reporting in `.agent_memory/reports/handoff.json` so the next\n  teammate or agent gets one queue across inbox, lifecycle, audit, timeline,\n  lineage, and distillable session learnings.\n- Project profile reporting in `.agent_memory/reports/profile.json` so agents\n  get a compact orientation across repo shape, top concepts, key files,\n  commands, memory focus, and next actions.\n- Capability audit reporting in `.agent_memory/reports/capabilities.json` so\n  teams can see evidence-backed readiness across memory, collaboration,\n  benchmark proof, and dashboard/viewer proof.\n- Pinned context slots in `.agent_memory/slots/slots.json` so teams can review\n  tiny always-relevant repo guidance that Kage includes before task-specific\n  recall.\n- Session replay digest in `.agent_memory/reports/replay.json` so teams can\n  review observed agent timelines, paths, commands, durable candidates, and\n  distill actions without exposing raw transcript text.\n- A viewer benchmark proof ledger that shows measured results, thresholds,\n  exact commands, and next actions for retrieval, scale, and repo trust gates.\n\nNo hosted service, external database, or API key is required.\n\n## Common commands\n\n```bash\nkage recall \"how do I run tests\" --project .\nkage code-graph \"auth routes tests\" --project .\nkage risk --project . --targets src/auth.ts --json\nkage profile --project . --json\nkage capabilities --project . --json\nkage slots set --project . --label project_context --content \"Always run retry tests after changing retry modules.\" --paths src/retry.ts --tags retry,tests\nkage slots --project . --json\nkage learn --project . --learning \"Use npm test after parser changes.\"\nkage sessions --project . # observed sessions and distillation actions\nkage replay --project . # privacy-preserving observed-session timeline\nkage memory-access --project . # hot/cold memories and review actions\nkage memory-audit --project . # auditable memory mutations\nkage handoff --project . # combined teammate/agent handoff queue\nkage lifecycle --project . # memory health, freshness, grounding, and feedback\nkage timeline --project . # recent memory changes for handoff\nkage lineage --project . # current replacements for retired memories\nkage supersede --project . --packet <old-id> --replacement <new-id> --reason \"why\"\nkage benchmark --memory-quality # coding-memory retrieval proof\nkage benchmark --scale --sizes 240,1000,5000 # large-memory recall proof\nkage refresh --project .\nkage embeddings build --project . # optional dense local recall\nkage hook install --project .\nkage pr check --project .\nkage viewer --project .\n```\n\nMCP agents should start with `kage_context`. When the query or target list\nmentions file paths, it also includes risk and dependency-path context.\n\nNormal recall is local and dependency-free. For repos that need denser semantic\nmatching, install `@xenova/transformers` in the same Node environment as Kage,\nthen run `kage embeddings build --project .`. The default lexical layer is\nUnicode-aware and adds CJK bigrams for memory written without spaces. Dense\nembeddings write an optional rebuildable\n`.agent_memory/indexes/embeddings-local.json` artifact, and\n`kage recall \"query\" --project . --embeddings --explain` uses it.\n\nFor stale or wrong memory:\n\n```bash\nkage feedback --project . --packet <packet-id> --kind stale\nkage gc --project . --dry-run\n```\n\nFor the full CLI and MCP reference, see the [docs](https://kage-core.github.io/Kage/guide.html).\n\n## MCP server\n\n```bash\nkage setup codex --project . --write\nkage setup claude-code --project . --write\nkage setup generic-mcp --project .\n```\n\n`kage setup claude-code --write` installs the MCP server plus SessionStart,\nUserPromptSubmit, PostToolUse, PostToolUseFailure, PreCompact, Stop, and\nSessionEnd hooks. The hooks observe reusable work signals, inject relevant\nrepo memory on new prompts, and distill durable learnings before compaction or\nhandoff.\n\n`kage setup verify-agent --agent claude-code --project .` checks those hooks,\nnot only the MCP config. If a teammate has the server configured but missing\nambient hooks, verification reports the missing events and tells them to rerun\nsetup.\n\n`kage setup doctor --project . --json` also includes the Claude hook summary,\nso teams can audit partial installs before relying on automatic capture.\nMCP agents can call `kage_setup_doctor` for the same audit without shelling out.\n\n## REST daemon\n\nHTTP-only agents can use the same memory system through the local daemon:\n\n```bash\nkage daemon start --project .\ncurl -X POST http://127.0.0.1:3111/kage/context \\\n  -H 'content-type: application/json' \\\n  -d '{\"query\":\"how does auth work?\",\"limit\":5}'\n```\n\nUseful endpoints:\n\n- `POST /kage/context` - combined recall, graph facts, validation, risk, and dependency context.\n- `POST /kage/recall` - repo memory recall.\n- `POST /kage/capture` and `POST /kage/learn` - write durable repo memory.\n- `POST /kage/feedback` - mark recalled memory helpful, wrong, or stale.\n- `POST /kage/observe` and `POST /kage/distill` - session observation and durable learning distillation.\n- `GET /kage/replay` - privacy-preserving session replay digest without raw transcript text.\n- `GET /kage/setup-doctor` - supported-agent setup and Claude hook readiness.\n- `GET /kage/profile` - compact project profile for agent orientation.\n- `GET /kage/capabilities` - evidence-backed memory system readiness across memory, collaboration, benchmarks, and viewer proof.\n- `GET /kage/context-slots`, `POST /kage/context-slots`, `DELETE /kage/context-slots/:label` - pinned repo context slots.\n- `GET /kage/metrics`, `/kage/quality`, `/kage/inbox`, `/kage/benchmark`, `/kage/handoff`, `/kage/lifecycle`, `/kage/timeline`, `/kage/lineage`, `/kage/memory-audit` - human and agent review reports.\n\n## Storage\n\nKage writes to `.agent_memory/`. Packets are durable repo memory; everything\nelse is rebuildable with `kage refresh`.\n\n| Path | Purpose |\n|---|---|\n| `.agent_memory/packets/` | durable repo memory |\n| `.agent_memory/graph/` | memory graph (rebuildable) |\n| `.agent_memory/code_graph/` | source-derived code facts (rebuildable) |\n| `.agent_memory/structural/` | files, symbols, imports |\n| `.agent_memory/slots/` | pinned repo context slots |\n| `.agent_memory/indexes/` | recall indexes, including optional embeddings |\n| `.agent_memory/reports/` | profile, capabilities, context-slots, replay, risk, contributors, decisions, module health, workspace, quality, benchmark, handoff, lifecycle, timeline, lineage |\n\nRepo-local packets are git-visible and reviewable. Generated indexes and\ngraphs are rebuildable.\n\n## Viewer\n\n```bash\nkage viewer --project .\n```\n\nThe local viewer loads graph artifacts plus `.agent_memory/reports/*.json`.\nIt opens with a dashboard for repo readiness, memory coverage, graph health,\nrisks, review, and workspace links, then jumps to focused Graph, Memory,\nRisks, and Review pages. Use it when you need to:\n\n- Inspect what agents recall and why.\n- Check risk before editing shared files.\n- Find repo lore by file, feature, bug, command, or decision.\n- Clear the review queue before handoff.\n\nHosted demo: https://kage-core.github.io/Kage/viewer/\n\n## Development\n\n```bash\nnpm install\nnpm test\nnpm run build\nnpm pack --dry-run\n```\n\n## License\n\nGPL-3.0-only.\n","readmeFilename":"README.md"}