memory
Permanent memory using Lisa.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
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Permanent memory using Lisa.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
GitHub and Git workflow helpers, Issues and Projects v2 management via gh CLI; triggers on 'github', 'create issue', 'list issues', 'github project', 'project board', 'sync tasks', 'create pr', 'pr checks', 'retrigger tests', 'bump version', 'push'.
PR workflow operations: create PRs, check status, link PRs to issues, poll for comments, address feedback, watch PRs, save notes to memory. Triggers on 'pr create', 'pr checks', 'pr link', 'pr poll', 'pr address', 'pr comments', 'pr remember', 'watch pr', 'watching'.
Create, list, view, and manage Jira issues via REST API; triggers on 'jira', 'create ticket', 'list issues', 'change type'.
Lisa - intelligent assistant for memory and tasks. Triggers on 'lisa', 'hey lisa', or addressing lisa directly.
Create, load, or summarize tasks via Graphiti MCP; triggers on 'tasks', 'list tasks', 'add task', usable by any model (Claude, Gemini).
Capture each prompt into Graphiti memory (episodes) for this repo/user.
| name | memory |
| description | Permanent memory using Lisa. |
Reusable memory helper that routes remember/recall requests to Graphiti MCP while staying model-neutral and providing cache fallback. Always summarizes results into human-readable format.
Use when the user says things like: "load memory", "recall notes", "remember", "pull saved context", "fetch past tasks".
lisa memory load --cache [--query <q>] [--limit 10] [--group <id>]. Reads Graphiti facts and prints JSON. Uses cache if MCP is down.lisa memory add "<text>" --cache [--group <id>] [--tag foo] [--source <src>] to append an episode..lisa/.env (written by init); group ID is automatically derived from the project folder path. See root AGENTS.md for canonical defaults.cache/memory.log inside this skill. On failure, last cached result is returned with status: "fallback".After running the load command, you MUST synthesize the raw JSON facts into a useful summary. Never just show raw JSON to the user.
Organize facts into these categories (skip empty categories):
created_at descending (newest first)expired_at field)fact field from each item - that's the human-readable content## Memory Summary
**Project:** Lisa - Long-term memory system for Claude Code
**Recent Activity:**
- Modified `src/lib/mcp.ts` for MCP integration
- Updated Docker config to use `zepai/knowledge-graph-mcp:standalone`
- Added init-review script
**Conventions:**
- Files use kebab-case naming
- JavaScript/TypeScript as primary languages
**Configuration:**
- Docker Compose at `.lisa/docker-compose.graphiti.yml`
- Config file: `config-docker-neo4j.yaml`
**Milestones:**
- Memory system reached major milestone (date)
{ status: "ok", action: "load", group, query, facts: [...] }.{ status: "ok", action: "add", group, text }.{ status: "fallback", error, fallback: <last cached object> }.lisa CLI binary — no scripts to run directly.* with max_facts=10; tune via --limit and --query.fact field in each JSON object contains the human-readable content to summarize.