# Reflexio Documentation
> The learning platform for AI agents. Turns every conversation into behavior your agent reuses — automatically extracting user preferences and behavioral feedback so it keeps improving without manual tuning.

## Docs

- [Reflexio Documentation](https://www.reflexio.ai/docs/): Connect Reflexio to your agent, publish interactions, retrieve learned context, and inspect what the system learns.
- [Data Sources API](https://www.reflexio.ai/docs/api-reference/data-sources): Connect trace providers, select traffic, preview and promote mappings, manage collection, and resolve attention records.
- [Governance API](https://www.reflexio.ai/docs/api-reference/governance): Enterprise RTBF export, erase, and purge-operation status endpoints.
- [API Reference](https://www.reflexio.ai/docs/api-reference): Reflexio client methods, enterprise REST APIs, and request/response schemas.
- [Dashboard onboarding](https://www.reflexio.ai/docs/api-reference/onboarding): Project-shared walkthrough state for authenticated enterprise dashboards.
- [Evaluating Agent Performance](https://www.reflexio.ai/docs/build/agent-evaluation): Choose between session A/B tests, response head-to-head comparisons, and retrieved-learning analysis.
- [Collecting and Using Playbooks](https://www.reflexio.ai/docs/build/agent-playbook): Extract user-specific guidance, aggregate agent rules, and retrieve approved behavior.
- [mem0 Drop-In Wrapper](https://www.reflexio.ai/docs/build/mem0): Keep mem0 behavior and mirror hosted-client traffic to Reflexio with one import change.
- [Managing Requests & Sessions](https://www.reflexio.ai/docs/build/request-management): Choose request metadata, inspect stored requests, filter by time or request id, and clean up request/session data.
- [Searching Learned Context](https://www.reflexio.ai/docs/build/search): Use unified search, profile search, and playbook search to retrieve the right Reflexio context for your agent.
- [Publishing Interactions](https://www.reflexio.ai/docs/build/user-interactions): Publish complete agent turns, feedback, images, actions, and expert examples.
- [Working with User Profiles](https://www.reflexio.ai/docs/build/user-profiles): Retrieve, inspect, configure, and manage user-scoped memory.
- [Slash Commands](https://www.reflexio.ai/docs/claude-smart/commands): Reference for the five slash commands the claude-smart plugin installs in Claude Code.
- [Claude Smart Configuration](https://www.reflexio.ai/docs/claude-smart/configuration): Environment variables, data directories, scope rules, and troubleshooting for claude-smart.
- [Dashboard](https://www.reflexio.ai/docs/claude-smart/dashboard): Browse sessions, inspect user profiles, and edit project playbook rules from the claude-smart web UI.
- [Getting Started](https://www.reflexio.ai/docs/claude-smart/getting-started): Install claude-smart, verify it's running, and see your first learned rule injected into Claude.
- [How It Works](https://www.reflexio.ai/docs/claude-smart/how-it-works): The hook lifecycle, extraction signals, and how claude-smart turns a Claude Code session into injected rules.
- [claude-smart](https://www.reflexio.ai/docs/claude-smart): A Claude Code plugin, powered by Reflexio, that turns your corrections and successful execution paths into rules Claude follows in future sessions.
- [reflexio auth / reflexio status](https://www.reflexio.ai/docs/cli-reference/auth-status): Authenticate to a Reflexio server and inspect org identity, storage, and health.
- [reflexio config](https://www.reflexio.ai/docs/cli-reference/config): View and update server configuration and storage credentials.
- [reflexio doctor / reflexio api](https://www.reflexio.ai/docs/cli-reference/diagnostics): Run setup diagnostics and make raw HTTP calls to any Reflexio endpoint.
- [reflexio embeddings](https://www.reflexio.ai/docs/cli-reference/embeddings): Run the local OpenAI-compatible embedding daemon.
- [CLI Reference](https://www.reflexio.ai/docs/cli-reference): Local OSS CLI reference for services, configuration, diagnostics, and data operations.
- [reflexio interactions](https://www.reflexio.ai/docs/cli-reference/interactions): Publish, list, search, and delete user-agent conversations.
- [reflexio agent-playbooks / reflexio user-playbooks](https://www.reflexio.ai/docs/cli-reference/playbooks): Manage user playbooks and agent playbooks — CRUD, aggregation, approval.
- [reflexio user-profiles](https://www.reflexio.ai/docs/cli-reference/profiles): Manage user profiles extracted from interactions.
- [reflexio services](https://www.reflexio.ai/docs/cli-reference/services): Start and stop a local open-source Reflexio backend and docs site.
- [reflexio setup](https://www.reflexio.ai/docs/cli-reference/setup): Interactive wizards for plain CLI and OpenClaw integration.
- [Account Setup](https://www.reflexio.ai/docs/getting-started/account-setup): Create a Reflexio account, verify your email, and finish the first portal setup.
- [Connection & Authentication](https://www.reflexio.ai/docs/getting-started/authentication): Connect to Hosted Enterprise or a Local OSS server.
- [Local OSS Get Started](https://www.reflexio.ai/docs/getting-started/open-source): Run Reflexio locally, publish an interaction, and retrieve learned context.
- [Hosted Enterprise Get Started](https://www.reflexio.ai/docs/getting-started/quickstart): Connect to Hosted Enterprise, publish an interaction, and retrieve learned context.
- [Playbooks](https://www.reflexio.ai/docs/concepts/agent-playbook): Understand behavioral guidance at user and agent scope.
- [Core Concepts](https://www.reflexio.ai/docs/concepts/core-concepts): Understand the fundamental concepts in Reflexio that power intelligent agent memory and personalization.
- [Interactions](https://www.reflexio.ai/docs/concepts/interactions): Understand the source records Reflexio learns from.
- [Playbook Optimization](https://www.reflexio.ai/docs/concepts/playbook-optimization): Optional GEPA-backed refinement for pending playbook wording.
- [Playbook Tuning](https://www.reflexio.ai/docs/concepts/playbook-tuning): Automatic playbook improvement that publishes a new version and keeps it until the evidence says to revise it.
- [Projects](https://www.reflexio.ai/docs/concepts/projects): Organize one workspace's agents into projects, each with its own API keys, configuration overrides, and learned data.
- [Requests and Sessions](https://www.reflexio.ai/docs/concepts/requests-and-groups): Learn how requests and sessions organize interactions in Reflexio for structured tracking and bulk operations.
- [User Profiles](https://www.reflexio.ai/docs/concepts/user-profiles): Understand Reflexio's durable, user-scoped memory.
- [Privacy Policy](https://www.reflexio.ai/docs/legal/privacy): How Reflexio collects, uses, discloses, and protects personal information, and the privacy rights available to you.
- [Terms & Conditions](https://www.reflexio.ai/docs/legal/terms): The terms governing your access to and use of the Reflexio managed platform.
- [Advanced Portal Use](https://www.reflexio.ai/docs/portal/advanced-use-cases): Tune extraction windows, source filters, controlled reruns, and evaluation experiments.
- [Hosted Enterprise Portal](https://www.reflexio.ai/docs/portal/basic-usage): Inspect learning, review playbooks, answer agent questions, and configure Hosted Enterprise.
- [Connect existing traces](https://www.reflexio.ai/docs/portal/data-sources): Map existing traces into Reflexio interactions without adding another publish flow.
- [Measuring Reflexio's Impact](https://www.reflexio.ai/docs/portal/measuring-reflexio-impact): Understand every user-facing metric on the Evaluation page, then set up trustworthy comparisons.
- [Client Configuration API](https://www.reflexio.ai/docs/api-reference/client/configuration): Methods for getting and setting system configuration.
- [Agent Evaluation](https://www.reflexio.ai/docs/api-reference/client/evaluation): Methods for retrieving, regenerating, and grading agent success evaluation results.
- [Retrieval Experiments](https://www.reflexio.ai/docs/api-reference/client/experiments): Start, stop, inspect, and report user-level retrieval holdout experiments.
- [Initialization & Authentication](https://www.reflexio.ai/docs/api-reference/client/initialization): ReflexioClient setup for Hosted Enterprise and Local OSS.
- [Interaction Management](https://www.reflexio.ai/docs/api-reference/client/interactions): Methods for publishing, searching, retrieving, and deleting user interactions.
- [Rerun and Manual Generation Operations](https://www.reflexio.ai/docs/api-reference/client/operations): Methods for rerun/manual generation and playbook aggregation.
- [Human Questions (Pending Tool Calls)](https://www.reflexio.ai/docs/api-reference/client/pending-tool-calls): Methods for listing and answering the resumable agent's pending tool calls (ask_human questions).
- [Playbook Management](https://www.reflexio.ai/docs/api-reference/client/playbook): Methods for reviewing, searching, retrieving, adding, and deleting user playbooks and agent playbooks.
- [Profile Management](https://www.reflexio.ai/docs/api-reference/client/profiles): Methods for searching, retrieving, and deleting user profiles, plus profile changelog.
- [Request Management](https://www.reflexio.ai/docs/api-reference/client/requests): Methods for retrieving and deleting requests and sessions.
- [Unified Search](https://www.reflexio.ai/docs/api-reference/client/search): Search across all entity types in a single call.
- [Concepts](https://www.reflexio.ai/docs/api-reference/schemas/concepts): Key concepts like Shadow Content and Expert Content used in the Reflexio API.
- [Configuration Models](https://www.reflexio.ai/docs/api-reference/schemas/config): Data structures for system configuration — profile extraction, playbook extraction, evaluation, storage, and LLM settings.
- [Data-source schemas](https://www.reflexio.ai/docs/api-reference/schemas/data-sources): Request, mapping, sampling, preview, and lifecycle contracts for the Data Sources REST API.
- [Enums](https://www.reflexio.ai/docs/api-reference/schemas/enums): Enumeration types used in the Reflexio API.
- [Evaluation Models](https://www.reflexio.ai/docs/api-reference/schemas/evaluation): Data structures for agent success evaluation results.
- [Interaction Models](https://www.reflexio.ai/docs/api-reference/schemas/interactions): Data structures for user interactions — publishing, searching, retrieving, and deleting interactions.
- [Playbook Models](https://www.reflexio.ai/docs/api-reference/schemas/playbook): Data structures for user playbooks and agent playbooks -- collecting, aggregating, and managing agent improvement data.
- [Profile Models](https://www.reflexio.ai/docs/api-reference/schemas/profiles): Data structures for user profiles — searching, retrieving, deleting profiles and tracking profile changes.
- [Request Models](https://www.reflexio.ai/docs/api-reference/schemas/requests): Data structures for requests and sessions — retrieving and deleting requests.
- [Search Models](https://www.reflexio.ai/docs/api-reference/schemas/search): Data structures for unified search across all entity types.
- [Extractors & Evaluation](https://www.reflexio.ai/docs/build/configuration/extractors): Configure profile extractors, playbook aggregation, and agent success evaluation in Reflexio.
- [Configuration Guide](https://www.reflexio.ai/docs/build/configuration): Complete reference for all Reflexio configuration options including profile extraction, playbook, and evaluation settings.
- [LLM Configuration](https://www.reflexio.ai/docs/build/configuration/llm): Configure LLM provider API keys, model selection, Azure OpenAI, and custom endpoints for Reflexio.
- [Storage Configuration](https://www.reflexio.ai/docs/build/configuration/storage): Configure where Reflexio stores data, including SQLite (default), Supabase, and PostgreSQL for production deployments.