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Use when creating, updating, or managing multiple Letta agents with shared configurations, memory blocks, tools, folders, canary deployments, multi-tenancy, and bulk operations.\nlicense: MIT\n---\n\n# lettactl\n\nkubectl-style CLI for managing Letta AI agent fleets declaratively.\n\n## When to Use\n\n- Deploying multiple agents with shared configurations\n- Managing agent memory blocks, tools, and folders\n- Applying templates to existing agents\n- Running canary deployments before promoting to production\n- Multi-tenant agent management (B2B \u002F B2B2C)\n- Bulk messaging across agent fleets\n- Importing\u002Fexporting agents between environments\n- Analyzing agent memory health (self-diagnosis)\n- Calibrating agents with first-message boot sequences\n- Programmatic fleet management via SDK\n\n## Core Workflow\n\n1. Define agents in `fleet.yaml`\n2. Apply with `lettactl apply -f fleet.yaml`\n3. Verify with `lettactl get agents` and `lettactl describe agent \u003Cname>`\n\n## Fleet YAML Structure\n\n```yaml\nshared_blocks:\n  - name: company-context\n    description: Shared company knowledge\n    limit: 5000\n    from_file: .\u002Fcontext\u002Fcompany.md\n\nshared_folders:\n  - name: brand_docs\n    files:\n      - \"docs\u002F*.md\"\n\nmcp_servers:\n  - name: firecrawl\n    type: sse\n    server_url: \"https:\u002F\u002Fsse.firecrawl.dev\"\n    auth_header: \"Authorization\"\n    auth_token: \"Bearer ${FIRECRAWL_API_KEY}\"\n\nagents:\n  - name: support-agent\n    description: Customer support assistant\n    tags:\n      - \"tenant:acme-corp\"\n      - \"role:support\"\n    system_prompt:\n      from_file: .\u002Fprompts\u002Fsupport.md\n    llm_config:\n      model: google_ai\u002Fgemini-2.5-pro\n      context_window: 128000\n    reasoning: true\n    first_message: \"Initialize and confirm readiness.\"\n    memory_blocks:\n      - name: persona\n        description: Agent personality\n        limit: 2000\n        value: \"You are a helpful support agent.\"\n        agent_owned: true\n    archives:\n      - name: knowledge_base\n        description: Long-term knowledge storage\n    shared_blocks:\n      - company-context\n    shared_folders:\n      - brand_docs\n    tools:\n      - send_email\n      - search_docs\n      - \"tools\u002F*\"\n    mcp_tools:\n      - server: firecrawl\n        tools: [\"scrape\", \"crawl\"]\n```\n\nSee `reference\u002Ffleet-config.md` for full schema.\n\n## CLI Commands\n\n### Apply Configuration\n```bash\nlettactl apply -f fleet.yaml                    # Create\u002Fupdate agents\nlettactl apply -f fleet.yaml --dry-run          # Preview changes\nlettactl apply -f fleet.yaml --match \"*-prod\"   # Template mode\nlettactl apply -f fleet.yaml --canary           # Deploy canary copies\nlettactl apply -f fleet.yaml --promote          # Promote canary to production\nlettactl apply -f fleet.yaml --recalibrate      # Re-send calibration messages\n```\n\n### Inspect Resources\n```bash\nlettactl get agents                        # List all agents\nlettactl get agents -o wide                # With details\nlettactl get agents --tags \"tenant:acme\"   # Filter by tags\nlettactl get blocks --shared               # Shared blocks only\nlettactl get tools --orphaned              # Unused tools\nlettactl describe agent \u003Cname>             # Full agent details\n```\n\n### Messaging\n```bash\nlettactl send \u003Cagent> \"Hello\"              # Send message\nlettactl send \u003Cagent> \"Hi\" --stream        # Stream response\nlettactl send --all \"support-*\" \"Update\"   # Bulk send by pattern\nlettactl send --tags \"role:support\" \"Hi\"   # Bulk send by tags\nlettactl messages list \u003Cagent>             # View history\nlettactl messages reset \u003Cagent>            # Clear history\nlettactl messages compact \u003Cagent>          # Summarize history\n```\n\n### Import \u002F Export\n```bash\nlettactl export agent \u003Cname> -f yaml       # Export single agent\nlettactl export agents --all               # Export entire fleet\nlettactl import agent-export.yaml          # Import agent\n```\n\n### Fleet Reporting\n```bash\nlettactl report memory                     # Memory usage report\nlettactl report memory --analyze           # LLM-powered deep analysis\n```\n\nSee `reference\u002Fcli-commands.md` for all options.\n\n## Canary Deployments\n\nTest changes on isolated copies before promoting to production:\n\n```bash\nlettactl apply -f fleet.yaml --canary           # Create CANARY-* copies\nlettactl send CANARY-support-agent \"test msg\"   # Test the canary\nlettactl apply -f fleet.yaml --promote          # Promote to production\nlettactl apply -f fleet.yaml --cleanup          # Remove canary agents\n```\n\nSee `reference\u002Fcanary-deployments.md`.\n\n## Multi-Tenancy\n\nTag agents for B2B and B2B2C filtering:\n\n```yaml\nagents:\n  - name: acme-support\n    tags:\n      - \"tenant:acme-corp\"\n      - \"role:support\"\n      - \"env:production\"\n```\n\n```bash\nlettactl get agents --tags \"tenant:acme-corp\"\nlettactl send --tags \"tenant:acme-corp,role:support\" \"Policy update\"\n```\n\nSee `reference\u002Fmulti-tenancy.md`.\n\n## Self-Diagnosis\n\nAnalyze agent memory health fleet-wide:\n\n```bash\nlettactl report memory                  # Usage stats for all agents\nlettactl report memory --analyze        # LLM-powered analysis per agent\n```\n\nReports fill percentages, stale data, redundancy, missing knowledge, and split recommendations. See `reference\u002Fself-diagnosis.md`.\n\n## Agent Calibration\n\nPrime agents on creation with a boot message:\n\n```yaml\nagents:\n  - name: support-agent\n    first_message: \"Review your persona and confirm you understand your role.\"\n```\n\nRecalibrate existing agents after updates:\n\n```bash\nlettactl apply -f fleet.yaml --recalibrate\nlettactl apply -f fleet.yaml --recalibrate --recalibrate-tags \"role:support\"\n```\n\nSee `reference\u002Fagent-calibration.md`.\n\n## Template Mode\n\nApply configuration to existing agents matching a pattern:\n\n```bash\nlettactl apply -f template.yaml --match \"*-draper\"\n```\n\nUses three-way merge: preserves user-added resources while updating managed ones. 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Load this skill whenever a user asks for a capability you don't already have — image generation, social media, email, calendar, finance, DevOps, search, browser automation, etc.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3664,3665,3666],{"name":24,"slug":25,"type":16},{"name":14,"slug":15,"type":16},{"name":3667,"slug":3668,"type":16},"GitHub","github",2831,"https:\u002F\u002Fgithub.com\u002Fletta-ai\u002Fletta-code","2026-07-13T06:22:58.45767",{"slug":3673,"name":3674,"fn":3675,"description":3676,"org":3677,"tags":3678,"stars":3669,"repoUrl":3670,"updatedAt":3686},"context-doctor","Context Doctor","repair system prompt and memory degradation","Identify and repair degradation in system prompt, external memory, and skills preventing you from following instructions or remembering information as well as you should.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3679,3680,3683],{"name":24,"slug":25,"type":16},{"name":3681,"slug":3682,"type":16},"AI Context","ai-context",{"name":3684,"slug":3685,"type":16},"Debugging","debugging","2026-07-13T06:22:50.151002",{"slug":3688,"name":3688,"fn":3689,"description":3690,"org":3691,"tags":3692,"stars":3669,"repoUrl":3670,"updatedAt":3698},"converting-mcps-to-skills","connect MCP servers to create skills","Connect to MCP (Model Context Protocol) servers and create skills for repeated use. 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This skill should be used when users want to create a new skill (or update an existing skill) that extends Letta Code's capabilities with specialized knowledge, workflows, or tool integrations.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3717,3718,3721],{"name":24,"slug":25,"type":16},{"name":3719,"slug":3720,"type":16},"Documentation","documentation",{"name":3722,"slug":3723,"type":16},"Plugin Development","plugin-development","2026-07-13T06:22:56.998659",{"slug":3726,"name":3726,"fn":3727,"description":3728,"org":3729,"tags":3730,"stars":3669,"repoUrl":3670,"updatedAt":3734},"customizing-commands","create and manage Letta slash commands","Creates, edits, and enables Letta Code mod-provided slash commands. Use when the user asks to add a custom \u002Fcommand, slash command, command shortcut, scoped conversation-backed command, or command-driven panel behavior.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3731,3732,3733],{"name":24,"slug":25,"type":16},{"name":14,"slug":15,"type":16},{"name":18,"slug":19,"type":16},"2026-07-13T06:23:18.266798",{"slug":3736,"name":3736,"fn":3737,"description":3738,"org":3739,"tags":3740,"stars":3669,"repoUrl":3670,"updatedAt":3745},"customizing-statusline","customize Letta Code statusline mods","Creates, edits, and migrates Letta Code statusline mods. 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They have no memory — you must provide all context.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3752,3753,3754],{"name":24,"slug":25,"type":16},{"name":3708,"slug":3709,"type":16},{"name":3755,"slug":3756,"type":16},"Multi-Agent","multi-agent","2026-07-26T05:46:56.388845",{"slug":3759,"name":3759,"fn":3760,"description":3761,"org":3762,"tags":3763,"stars":3669,"repoUrl":3670,"updatedAt":3773},"editing-letta-code-desktop-preferences","edit Letta Code Desktop preferences","Edits Letta Code Desktop (LCD) preferences by safely reading and updating ~\u002F.letta\u002Fdesktop_preferences.json. Use only when the user asks to change current Desktop\u002FLCD settings such as theme, default working directory, remote access preference, or remote environment name via the preferences JSON.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3764,3767,3770],{"name":3765,"slug":3766,"type":16},"Configuration","configuration",{"name":3768,"slug":3769,"type":16},"Desktop","desktop",{"name":3771,"slug":3772,"type":16},"Themes","themes","2026-07-13T06:23:41.407811",{"slug":3775,"name":3775,"fn":3776,"description":3777,"org":3778,"tags":3779,"stars":3669,"repoUrl":3670,"updatedAt":3784},"finding-agents","locate and manage agents on server","Find other agents on the same server. Use when the user asks about other agents, wants to migrate memory from another agent, or needs to find an agent by name or tags.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3780,3781],{"name":24,"slug":25,"type":16},{"name":3782,"slug":3783,"type":16},"Management","management","2026-07-16T06:02:17.297841",{"slug":3786,"name":3786,"fn":3787,"description":3788,"org":3789,"tags":3790,"stars":3669,"repoUrl":3670,"updatedAt":3796},"generating-mod-envs","generate Letta mod learning environments","Generates and reviews mod learning env JSON files for Letta Code local mods. 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Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading\u002Finjecting\u002Frunning secrets via op.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3821,3824,3825],{"name":3822,"slug":3823,"type":16},"Authentication","authentication",{"name":18,"slug":19,"type":16},{"name":3826,"slug":3827,"type":16},"Security","security","2026-07-13T06:24:39.504387",{"slug":3830,"name":3830,"fn":3831,"description":3832,"org":3833,"tags":3834,"stars":26,"repoUrl":27,"updatedAt":3841},"agent-slack","automate Slack messaging and workflows","Slack automation CLI — read\u002Fsend\u002Fsearch messages, browse threads and channels, manage channels, download attachments, look up users, and run workflows.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3835,3836,3837,3838],{"name":14,"slug":15,"type":16},{"name":18,"slug":19,"type":16},{"name":1529,"slug":1526,"type":16},{"name":3839,"slug":3840,"type":16},"Slack","slack","2026-07-13T06:23:51.908511",{"slug":3843,"name":3843,"fn":3844,"description":3845,"org":3846,"tags":3847,"stars":26,"repoUrl":27,"updatedAt":3860},"ai-news","fetch and summarize AI news","Fetch and summarize recent AI news from curated RSS feeds (Hugging Face, VentureBeat, The Verge, OpenAI, Anthropic, DeepMind, etc.) and YouTube channels (Yannic Kilcher, Two Minute Papers, AI Explained, etc.). 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Use when adding Telegram, WhatsApp, Bluesky, Slack, Discord, or custom channel support; testing channel routing, pairing, MessageChannel, runtime dependencies, or channel plugin manifests.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3867,3868,3871,3872],{"name":24,"slug":25,"type":16},{"name":3869,"slug":3870,"type":16},"API Development","api-development",{"name":1529,"slug":1526,"type":16},{"name":3839,"slug":3840,"type":16},"2026-07-13T06:25:55.843495",{"slug":3875,"name":3875,"fn":3876,"description":3877,"org":3878,"tags":3879,"stars":26,"repoUrl":27,"updatedAt":3894},"datadog","query Datadog observability data","Query Datadog observability data (logs, metrics, monitors, dashboards, hosts) via direct API. 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