Pick an outcome. Follow the clicks. Check that it worked.
These 292 walkthroughs cover the current Ai Keeper app from first launch through local models, chat, knowledge, agents, automation, channels, media, remote access, security, and recovery. No local-AI experience is assumed.
107 foundational workflows + 185 dedicated catalog walkthroughs · source-audited and UI-smoke-checked 2026-08-13
Find a guide
Search by the result you want, such as PDF, Slack, API, backup, or image.
First steps
Go from a downloaded app to a working local chat without learning model formats, ports, or inference engines first.
Every Work Mode
Choose the exact outcome you want, review what that preset changes, satisfy only its real requirements, and prove the starter behavior before using important data.
Models, engines, and runtimes
Acquire model files, install the software that serves them, create instances, choose roles, tune safely, and clean up without breaking active work.
Chat and Assistant
Start conversations, attach files, use tools with approvals, manage long sessions, export work, and use the dedicated or floating assistant.
APIs, providers, and external clients
Use Ai Keeper as one OpenAI-, Anthropic-, or Ollama-shaped endpoint, add cloud or CLI routes, and inspect every request through the proxy.
Knowledge, memory, and RAG
Give chats and agents durable facts, searchable files, time-aware claims, reviewed source reconciliation, behavior skills, relationship context, and Obsidian notes with clear provenance.
Agents and workspaces
Define focused roles, give each the minimum tools and context, combine them into repeatable sequential or parallel workspaces, and review every run.
Automation
Turn a proven prompt or workspace into a scheduled job, cron rule, heartbeat, background task, multi-step flow, or signed webhook trigger with bounded retries.
Extensions, MCP, and channels
Install reviewed packages, plugins, MCP servers, and skills; connect messaging sources; and control who may trigger replies or broadcasts.
Images, video, voice, screen, and camera
Install the managed media environment, generate FLUX images and LTX clips, add custom checkpoints, calibrate speech, and grant device permissions only when needed.
Lab and evaluation
Send raw requests, exercise stateful Responses, compare models, benchmark performance, inspect web work, build Canvas artifacts, and keep regression checks in QA Lab.
Remote access and distributed use
Control another Ai Keeper Mac, expose a guarded service to trusted devices, pair clients, connect nodes or agents, and separate traffic with explicit lanes.
Security, operations, and recovery
Diagnose failures, inspect traffic and logs, watch resource pressure, manage sessions and usage, back up state, secure secrets, review audits, and customize operator controls.