--- title: Sessions description: Persistent conversation storage with tree-structured messages, context blocks, compaction, full-text search, and AI-controllable tools. image: https://developers.cloudflare.com/dev-products-preview.png --- > Documentation Index > Fetch the complete documentation index at: https://developers.cloudflare.com/agents/llms.txt > Use this file to discover all available pages before exploring further. [Skip to content](#%5Ftop) # Sessions The Session API provides persistent conversation storage for agents, with tree-structured messages (inspired by [Pi ↗](https://pi.dev)), context blocks, compaction, full-text search, and AI-controllable tools. By default, it uses Durable Object SQLite. External Postgres storage is also available for apps that need shared database access, analytics, or cross-Durable Object queries. Experimental The Session API is under `agents/experimental/memory/session`. The API surface is stable but may evolve before graduating to the main package. ## Quick start * [ JavaScript ](#tab-panel-6557) * [ TypeScript ](#tab-panel-6558) JavaScript ``` import { Agent } from "agents";import { Session } from "agents/experimental/memory/session"; class MyAgent extends Agent { session = Session.create(this) .withContext("soul", { provider: { get: async () => "You are a helpful assistant." }, }) .withContext("memory", { description: "Learned facts about the user", maxTokens: 1100, }) .withCachedPrompt(); async onMessage(message) { await this.session.appendMessage(message); const history = await this.session.getHistory(); const system = await this.session.freezeSystemPrompt(); const tools = await this.session.tools(); // Pass history, system prompt, and tools to your LLM }} ``` TypeScript ``` import { Agent } from "agents";import { Session } from "agents/experimental/memory/session"; class MyAgent extends Agent { session = Session.create(this) .withContext("soul", { provider: { get: async () => "You are a helpful assistant." }, }) .withContext("memory", { description: "Learned facts about the user", maxTokens: 1100, }) .withCachedPrompt(); async onMessage(message: unknown) { await this.session.appendMessage(message); const history = await this.session.getHistory(); const system = await this.session.freezeSystemPrompt(); const tools = await this.session.tools(); // Pass history, system prompt, and tools to your LLM }} ``` ## Creating a session ### Builder API (recommended) Use `Session.create(agent)` with a chainable builder. Context providers without an explicit `provider` option are auto-wired to SQLite. * [ JavaScript ](#tab-panel-6543) * [ TypeScript ](#tab-panel-6544) JavaScript ``` const session = Session.create(this) .withContext("soul", { provider: { get: async () => "You are helpful." } }) .withContext("memory", { description: "Learned facts", maxTokens: 1100 }) .withCachedPrompt() .onCompaction(myCompactFn) .compactAfter(100_000); ``` TypeScript ``` const session = Session.create(this) .withContext("soul", { provider: { get: async () => "You are helpful." } }) .withContext("memory", { description: "Learned facts", maxTokens: 1100 }) .withCachedPrompt() .onCompaction(myCompactFn) .compactAfter(100_000); ``` ### Direct constructor For full control over providers: * [ JavaScript ](#tab-panel-6553) * [ TypeScript ](#tab-panel-6554) JavaScript ``` import { Session, AgentSessionProvider, AgentContextProvider,} from "agents/experimental/memory/session"; const session = new Session(new AgentSessionProvider(this), { context: [ { label: "memory", description: "Notes", maxTokens: 500, provider: new AgentContextProvider(this, "memory"), }, { label: "soul", provider: { get: async () => "You are helpful." } }, ],}); ``` TypeScript ``` import { Session, AgentSessionProvider, AgentContextProvider,} from "agents/experimental/memory/session"; const session = new Session(new AgentSessionProvider(this), { context: [ { label: "memory", description: "Notes", maxTokens: 500, provider: new AgentContextProvider(this, "memory"), }, { label: "soul", provider: { get: async () => "You are helpful." } }, ],}); ``` ### Builder methods All builder methods return `this` for chaining. Order does not matter — providers are resolved lazily on first use. | Method | Description | | --------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------- | | Session.create(agent) | Static factory. agent is any object with a sql tagged template method (your Agent or Durable Object). | | .forSession(sessionId) | Namespace this session by ID. Required for multi-session isolation when not using SessionManager. | | .withContext(label, options?) | Add a context block. Refer to [Context blocks](#context-blocks). | | .withCachedPrompt(provider?) | Enable system prompt persistence. The prompt is frozen on first use and survives hibernation and eviction. | | .onCompaction(fn) | Register a compaction function. Refer to [Compaction](#compaction). | | .compactAfter(tokenThreshold, options?) | Auto-compact when estimated token count exceeds the threshold. Requires .onCompaction(). Pass { tokenCounter } to control how the threshold is measured. | | .onCompactionError(handler) | Handle errors from automatic compaction. Handler failures are swallowed so message writes remain non-fatal. | ## Messages Messages use the `SessionMessage` type — a minimal shape with `id`, `role`, `parts`, and optional `createdAt`. The AI SDK's `UIMessage` is structurally compatible and can be passed directly. The session stores messages in a tree structure via `parent_id`, enabling branching conversations. * [ JavaScript ](#tab-panel-6551) * [ TypeScript ](#tab-panel-6552) JavaScript ``` // Append — auto-parents to the latest leaf unless parentId is specifiedawait session.appendMessage(message);await session.appendMessage(message, parentId); // Update an existing message (matched by message.id)await session.updateMessage(message); // Delete specific messagesawait session.deleteMessages(["msg-1", "msg-2"]); // Clear all messages and skill stateawait session.clearMessages(); ``` TypeScript ``` // Append — auto-parents to the latest leaf unless parentId is specifiedawait session.appendMessage(message);await session.appendMessage(message, parentId); // Update an existing message (matched by message.id)await session.updateMessage(message); // Delete specific messagesawait session.deleteMessages(["msg-1", "msg-2"]); // Clear all messages and skill stateawait session.clearMessages(); ``` Note Session methods are async. SQLite-backed sessions are usually fast, but external providers may perform network I/O, and `appendMessage()` may also trigger auto-compaction. ### Reading history * [ JavaScript ](#tab-panel-6559) * [ TypeScript ](#tab-panel-6560) JavaScript ``` // Linear history from root to the latest leafconst messages = await session.getHistory(); // History to a specific leaf (for branching)const branch = await session.getHistory(leafId); // Get a single messageconst msg = await session.getMessage("msg-1"); // Get the newest messageconst latest = await session.getLatestLeaf(); // Count messages in pathconst count = await session.getPathLength(); ``` TypeScript ``` // Linear history from root to the latest leafconst messages = await session.getHistory(); // History to a specific leaf (for branching)const branch = await session.getHistory(leafId); // Get a single messageconst msg = await session.getMessage("msg-1"); // Get the newest messageconst latest = await session.getLatestLeaf(); // Count messages in pathconst count = await session.getPathLength(); ``` ### Branching Messages form a tree. When you `appendMessage` with a `parentId` that already has children, you create a branch. Use `getBranches()` to get all child messages branching from a given point: * [ JavaScript ](#tab-panel-6545) * [ TypeScript ](#tab-panel-6546) JavaScript ``` // Get all child messages that branch from messageIdconst branches = await session.getBranches(messageId); ``` TypeScript ``` // Get all child messages that branch from messageIdconst branches = await session.getBranches(messageId); ``` This powers features like response regeneration — pass the user message ID to get both the original and regenerated responses. `getHistory(leafId)` walks the chosen path. ## Search Full-text search over the conversation history using SQLite FTS5: * [ JavaScript ](#tab-panel-6547) * [ TypeScript ](#tab-panel-6548) JavaScript ``` const results = await session.search("deployment Friday", { limit: 10 });// Returns: Array<{ id, role, content, createdAt? }> ``` TypeScript ``` const results = await session.search("deployment Friday", { limit: 10 });// Returns: Array<{ id, role, content, createdAt? }> ``` SQLite-backed sessions use FTS5 with porter stemming and unicode tokenization. Postgres-backed sessions use the provider's Postgres full-text index. `search()` throws if the session provider does not support search. ## Context blocks Context blocks are persistent key-value sections injected into the system prompt. Each block has a **label**, optional **description**, and a **provider** that determines its behavior. ### Provider types There are four provider types, detected by duck-typing: | Provider | Interface | Behavior | AI tool | | --------------------------- | --------------------------- | -------------------------------------------------------------------------------------------- | -------------------------------------------- | | **ContextProvider** | get() | Read-only block in system prompt | — | | **WritableContextProvider** | get() \+ set() | Writable via AI | set\_context | | **SkillProvider** | get() \+ load() \+ set?() | On-demand keyed documents. get() returns a metadata listing; load(key) fetches full content. | load\_context, unload\_context, set\_context | | **SearchProvider** | get() \+ search() \+ set?() | Full-text searchable entries. get() returns a summary; search(query) runs FTS5. | search\_context, set\_context | ### Built-in providers **`AgentContextProvider`** — SQLite-backed writable context. This is the default when using the builder without an explicit provider. * [ JavaScript ](#tab-panel-6549) * [ TypeScript ](#tab-panel-6550) JavaScript ``` import { AgentContextProvider } from "agents/experimental/memory/session"; new AgentContextProvider(this, "memory"); ``` TypeScript ``` import { AgentContextProvider } from "agents/experimental/memory/session"; new AgentContextProvider(this, "memory"); ``` **`R2SkillProvider`** — Cloudflare R2 bucket for on-demand document loading. Skills are listed in the system prompt as metadata; the model loads full content on demand via `load_context`. * [ JavaScript ](#tab-panel-6555) * [ TypeScript ](#tab-panel-6556) JavaScript ``` import { R2SkillProvider } from "agents/experimental/memory/session"; Session.create(this).withContext("skills", { provider: new R2SkillProvider(env.SKILLS_BUCKET, { prefix: "skills/" }),}); ``` TypeScript ``` import { R2SkillProvider } from "agents/experimental/memory/session"; Session.create(this).withContext("skills", { provider: new R2SkillProvider(env.SKILLS_BUCKET, { prefix: "skills/" }),}); ``` **`AgentSearchProvider`** — SQLite FTS5 searchable context. Entries are indexed and searchable by the model via `search_context`. * [ JavaScript ](#tab-panel-6561) * [ TypeScript ](#tab-panel-6562) JavaScript ``` import { AgentSearchProvider } from "agents/experimental/memory/session"; Session.create(this).withContext("knowledge", { description: "Searchable knowledge base", provider: new AgentSearchProvider(this),}); ``` TypeScript ``` import { AgentSearchProvider } from "agents/experimental/memory/session"; Session.create(this).withContext("knowledge", { description: "Searchable knowledge base", provider: new AgentSearchProvider(this),}); ``` ### Adding and removing context at runtime Blocks can be added and removed dynamically after initialization: * [ JavaScript ](#tab-panel-6567) * [ TypeScript ](#tab-panel-6568) JavaScript ``` // Add a new block (auto-wires to SQLite if no provider given)await session.addContext("extension-notes", { description: "From extension X", maxTokens: 500,}); // Remove itsession.removeContext("extension-notes"); // Rebuild the system prompt to reflect changesawait session.refreshSystemPrompt(); ``` TypeScript ``` // Add a new block (auto-wires to SQLite if no provider given)await session.addContext("extension-notes", { description: "From extension X", maxTokens: 500,}); // Remove itsession.removeContext("extension-notes"); // Rebuild the system prompt to reflect changesawait session.refreshSystemPrompt(); ``` Note `addContext` and `removeContext` do not automatically update the frozen system prompt. Call `refreshSystemPrompt()` afterward. ### Reading and writing context * [ JavaScript ](#tab-panel-6569) * [ TypeScript ](#tab-panel-6570) JavaScript ``` // Read a single blockconst block = session.getContextBlock("memory");// { label, description?, content, tokens, maxTokens?, writable, isSkill, isSearchable } // Read all blocksconst blocks = session.getContextBlocks(); // Replace content entirelyawait session.replaceContextBlock("memory", "User likes coffee."); // Append contentawait session.appendContextBlock("memory", "\nUser prefers dark roast."); ``` TypeScript ``` // Read a single blockconst block = session.getContextBlock("memory");// { label, description?, content, tokens, maxTokens?, writable, isSkill, isSearchable } // Read all blocksconst blocks = session.getContextBlocks(); // Replace content entirelyawait session.replaceContextBlock("memory", "User likes coffee."); // Append contentawait session.appendContextBlock("memory", "\nUser prefers dark roast."); ``` ### System prompt The system prompt is built from all context blocks with headers and metadata: ``` ══════════════════════════════════════════════SOUL (Identity) [readonly]══════════════════════════════════════════════You are a helpful assistant. ══════════════════════════════════════════════MEMORY (Learned facts) [45% — 495/1100 tokens]══════════════════════════════════════════════User likes coffee.User prefers dark roast. ``` * [ JavaScript ](#tab-panel-6565) * [ TypeScript ](#tab-panel-6566) JavaScript ``` // Freeze — first call renders and persists; subsequent calls return cached valueconst prompt = await session.freezeSystemPrompt(); // Refresh — re-render from current block state and persistconst updated = await session.refreshSystemPrompt(); ``` TypeScript ``` // Freeze — first call renders and persists; subsequent calls return cached valueconst prompt = await session.freezeSystemPrompt(); // Refresh — re-render from current block state and persistconst updated = await session.refreshSystemPrompt(); ``` The frozen prompt survives Durable Object hibernation and eviction when `withCachedPrompt()` is enabled. ## AI tools Session automatically generates tools based on the provider types of your context blocks. Pass these to your LLM alongside your own tools. * [ JavaScript ](#tab-panel-6563) * [ TypeScript ](#tab-panel-6564) JavaScript ``` const tools = await session.tools();const allTools = { ...tools, ...myTools }; ``` TypeScript ``` const tools = await session.tools();const allTools = { ...tools, ...myTools }; ``` ### set\_context Generated when any writable block exists. Writes to regular blocks, skill blocks (keyed), or search blocks (keyed). Enforces `maxTokens` limits. ### load\_context Generated when any skill block exists. Loads full content by key from a `SkillProvider`. ### unload\_context Generated alongside `load_context`. Frees context space by unloading a previously loaded skill. The skill remains available for re-loading. ### search\_context Generated when any search block exists. Full-text search within a searchable context block. Returns top 10 results by FTS5 rank. ### session\_search Available on `SessionManager` only. Searches across all sessions. ## Compaction Compaction summarizes older messages to keep conversations within token limits. Original messages are preserved in SQLite — the summary is a non-destructive overlay applied at read time. ### Setup * [ JavaScript ](#tab-panel-6575) * [ TypeScript ](#tab-panel-6576) JavaScript ``` import { createCompactFunction } from "agents/experimental/memory/utils/compaction-helpers"; const session = Session.create(this) .withContext("memory", { maxTokens: 1100 }) .onCompaction( createCompactFunction({ summarize: (prompt) => generateText({ model: myModel, prompt }).then((r) => r.text), protectHead: 3, tailTokenBudget: 20000, minTailMessages: 2, tokenCounter: async (messages) => estimateWithYourTokenizer({ messages }), }), ) .compactAfter(100_000); ``` TypeScript ``` import { createCompactFunction } from "agents/experimental/memory/utils/compaction-helpers"; const session = Session.create(this) .withContext("memory", { maxTokens: 1100 }) .onCompaction( createCompactFunction({ summarize: (prompt) => generateText({ model: myModel, prompt }).then((r) => r.text), protectHead: 3, tailTokenBudget: 20000, minTailMessages: 2, tokenCounter: async (messages) => estimateWithYourTokenizer({ messages }), }), ) .compactAfter(100_000); ``` ### How compaction works 1. **Protect head** — first N messages are never compacted (default 3) 2. **Protect tail** — walk backward from the end, accumulating tokens up to a budget (default 20K tokens) 3. **Align boundaries** — shift boundaries to avoid splitting tool call/result pairs 4. **Summarize middle** — send the middle section to an LLM with a structured format (Topic, Key Points, Current State, Open Items) 5. **Store overlay** — saved in the `assistant_compactions` table, keyed by `fromMessageId` and `toMessageId` 6. **Iterative** — on subsequent compactions, the existing summary is passed to the LLM to update rather than replace When `getHistory()` is called, compaction overlays are applied transparently — the compacted range is replaced by a synthetic summary message. ### Manual compaction * [ JavaScript ](#tab-panel-6571) * [ TypeScript ](#tab-panel-6572) JavaScript ``` const result = await session.compact(); // Or manage overlays directlyawait session.addCompaction("Summary of messages 1-50", "msg-1", "msg-50");const overlays = await session.getCompactions(); ``` TypeScript ``` const result = await session.compact(); // Or manage overlays directlyawait session.addCompaction("Summary of messages 1-50", "msg-1", "msg-50");const overlays = await session.getCompactions(); ``` ### Auto-compaction When `.compactAfter(threshold)` is set, `appendMessage()` checks the estimated token count after each write. If it exceeds the threshold, `compact()` is called automatically. Auto-compaction failure is non-fatal — the message is already saved. Note Auto-compaction is checked **between turns** (on each `appendMessage()`), not within a turn. A single long, tool-heavy turn can grow past the model context window mid-flight, before the next check. `@cloudflare/think` adds opt-in mid-turn recovery on top of this — refer to [Context-window overflow recovery](https://developers.cloudflare.com/agents/harnesses/think/recovery/#context-window-overflow-recovery). By default, the estimate includes stored message parts plus the Session-managed frozen system prompt, so context blocks and cached prompts managed by `Session` contribute to the threshold. It does not include framework-specific prompt additions or tool schema serialization that happen outside `Session`. There are two token-counting decisions: * `.compactAfter(threshold, { tokenCounter })` controls **when** automatic compaction is triggered after writes. * `createCompactFunction({ tokenCounter })` controls **which** tail messages are protected from summarization. Use this when tool-heavy histories are much larger than the Workers-safe heuristic can estimate. You usually only need to configure one counter. The `.compactAfter()` counter also flows into `createCompactFunction`'s boundary walk (via `CompactContext`) when no explicit `createCompactFunction({ tokenCounter })` is given, so a single counter drives both "should we compact?" and "what should we compact?". Warning The flowed counter is invoked **per message** during the boundary walk. A tokenizer-style counter budgets accurately; a usage-only counter that returns a fixed whole-prompt total (for example `usage.inputTokens` regardless of which messages are passed) degrades the tail budget to `minTailMessages` — compaction still runs and context stays bounded, but the byte budget is effectively ignored. Pass an explicit per-message `createCompactFunction({ tokenCounter })` for precise tail budgeting. Use a custom counter when you have model-reported usage or your own tokenizer: * [ JavaScript ](#tab-panel-6581) * [ TypeScript ](#tab-panel-6582) JavaScript ``` const session = Session.create(this) .onCompaction(myCompactFn) .compactAfter(100_000, { tokenCounter: async ({ messages, systemPrompt, contextBlocks }) => { return estimateWithYourTokenizer({ messages, systemPrompt, contextBlocks, }); }, }) .onCompactionError((err) => { console.warn("Auto-compaction failed", err); }); ``` TypeScript ``` const session = Session.create(this) .onCompaction(myCompactFn) .compactAfter(100_000, { tokenCounter: async ({ messages, systemPrompt, contextBlocks }) => { return estimateWithYourTokenizer({ messages, systemPrompt, contextBlocks, }); }, }) .onCompactionError((err) => { console.warn("Auto-compaction failed", err); }); ``` Note The default token estimation is heuristic (not tiktoken). It uses `max(chars/4, words*1.3)` with 4 tokens per-message overhead, and also applies the string heuristic to the Session-managed system prompt. Tiktoken would add 80–120 MB heap overhead, which exceeds Cloudflare Workers' 128 MB limit. ## SessionManager `SessionManager` is a registry for multiple named sessions within a single Durable Object. It provides lifecycle management, convenience methods, and cross-session search. ### Creating a SessionManager * [ JavaScript ](#tab-panel-6577) * [ TypeScript ](#tab-panel-6578) JavaScript ``` import { SessionManager } from "agents/experimental/memory/session"; const manager = SessionManager.create(this) .withContext("soul", { provider: { get: async () => "You are helpful." } }) .withContext("memory", { description: "Learned facts", maxTokens: 1100 }) .withCachedPrompt() .onCompaction(myCompactFn) .compactAfter(100_000) .withSearchableHistory("history"); ``` TypeScript ``` import { SessionManager } from "agents/experimental/memory/session"; const manager = SessionManager.create(this) .withContext("soul", { provider: { get: async () => "You are helpful." } }) .withContext("memory", { description: "Learned facts", maxTokens: 1100 }) .withCachedPrompt() .onCompaction(myCompactFn) .compactAfter(100_000) .withSearchableHistory("history"); ``` Context blocks, prompt caching, and compaction settings are propagated to all sessions created through the manager. Provider keys are automatically namespaced by session ID. ### Builder methods | Method | Description | | --------------------------------------- | ------------------------------------------------------------------------------------------------------- | | SessionManager.create(agent) | Static factory. | | .withContext(label, options?) | Add context block template for all sessions. | | .withCachedPrompt(provider?) | Enable prompt persistence for all sessions. | | .onCompaction(fn) | Register compaction function for all sessions. | | .compactAfter(tokenThreshold, options?) | Auto-compact threshold for all sessions. Supports the same tokenCounter option as Session. | | .onCompactionError(handler) | Handle automatic compaction errors for managed sessions. | | .withSearchableHistory(label) | Add a cross-session searchable history block. The model can search past conversations from any session. | ### Session lifecycle * [ JavaScript ](#tab-panel-6589) * [ TypeScript ](#tab-panel-6590) JavaScript ``` // Create a new sessionconst info = await manager.create("My Chat"); // Create with metadataconst info2 = await manager.create("My Chat", { parentSessionId: "parent-id", model: "claude-sonnet-4-20250514", source: "web",}); // Get session metadata (null if not found)const session = await manager.get(sessionId); // List all sessions (ordered by updated_at DESC)const sessions = await manager.list(); // Renameawait manager.rename(sessionId, "New Name"); // Delete (clears messages too)await manager.delete(sessionId); ``` TypeScript ``` // Create a new sessionconst info = await manager.create("My Chat"); // Create with metadataconst info2 = await manager.create("My Chat", { parentSessionId: "parent-id", model: "claude-sonnet-4-20250514", source: "web",}); // Get session metadata (null if not found)const session = await manager.get(sessionId); // List all sessions (ordered by updated_at DESC)const sessions = await manager.list(); // Renameawait manager.rename(sessionId, "New Name"); // Delete (clears messages too)await manager.delete(sessionId); ``` ### Accessing sessions * [ JavaScript ](#tab-panel-6573) * [ TypeScript ](#tab-panel-6574) JavaScript ``` // Get or create the Session instance for an ID// Lazy — creates on first access, caches for subsequent callsconst session = manager.getSession(sessionId); ``` TypeScript ``` // Get or create the Session instance for an ID// Lazy — creates on first access, caches for subsequent callsconst session = manager.getSession(sessionId); ``` ### Message convenience methods These delegate to the underlying Session and update the session's `updated_at` timestamp: * [ JavaScript ](#tab-panel-6591) * [ TypeScript ](#tab-panel-6592) JavaScript ``` // Append a single messageawait manager.append(sessionId, message, parentId); // Add or update (upsert)await manager.upsert(sessionId, message, parentId); // Batch append (auto-chains parent IDs)await manager.appendAll(sessionId, messages, parentId); // Read historyconst history = await manager.getHistory(sessionId, leafId); // Message countconst count = await manager.getMessageCount(sessionId); // Clear messagesawait manager.clearMessages(sessionId); // Delete specific messagesawait manager.deleteMessages(sessionId, ["msg-1"]); ``` TypeScript ``` // Append a single messageawait manager.append(sessionId, message, parentId); // Add or update (upsert)await manager.upsert(sessionId, message, parentId); // Batch append (auto-chains parent IDs)await manager.appendAll(sessionId, messages, parentId); // Read historyconst history = await manager.getHistory(sessionId, leafId); // Message countconst count = await manager.getMessageCount(sessionId); // Clear messagesawait manager.clearMessages(sessionId); // Delete specific messagesawait manager.deleteMessages(sessionId, ["msg-1"]); ``` ### Forking Fork a session at a specific message — copies history up to that point into a new session: * [ JavaScript ](#tab-panel-6579) * [ TypeScript ](#tab-panel-6580) JavaScript ``` const forked = await manager.fork(sessionId, atMessageId, "Forked Chat");// forked.parent_session_id === sessionId ``` TypeScript ``` const forked = await manager.fork(sessionId, atMessageId, "Forked Chat");// forked.parent_session_id === sessionId ``` ### Compaction helpers * [ JavaScript ](#tab-panel-6587) * [ TypeScript ](#tab-panel-6588) JavaScript ``` // Add a compaction overlayawait manager.addCompaction(sessionId, summary, fromId, toId); // Get overlaysconst compactions = await manager.getCompactions(sessionId); // Compact and split — marks old session as ended, creates a continuationconst continuation = await manager.compactAndSplit( sessionId, summary, "Continued Chat",); ``` TypeScript ``` // Add a compaction overlayawait manager.addCompaction(sessionId, summary, fromId, toId); // Get overlaysconst compactions = await manager.getCompactions(sessionId); // Compact and split — marks old session as ended, creates a continuationconst continuation = await manager.compactAndSplit( sessionId, summary, "Continued Chat",); ``` `compactAndSplit()` creates a new session with a summary message instead of an in-place overlay. The original session is marked with `end_reason: "compaction"`. ### Usage tracking * [ JavaScript ](#tab-panel-6583) * [ TypeScript ](#tab-panel-6584) JavaScript ``` await manager.addUsage(sessionId, inputTokens, outputTokens, cost); ``` TypeScript ``` await manager.addUsage(sessionId, inputTokens, outputTokens, cost); ``` ### Cross-session search * [ JavaScript ](#tab-panel-6585) * [ TypeScript ](#tab-panel-6586) JavaScript ``` // Search across all sessions (FTS5)const results = await manager.search("deployment Friday", { limit: 20 }); // Get tools for the model (includes session_search)const tools = await manager.tools(); ``` TypeScript ``` // Search across all sessions (FTS5)const results = await manager.search("deployment Friday", { limit: 20 }); // Get tools for the model (includes session_search)const tools = await manager.tools(); ``` ## Custom providers Implement any of the four provider interfaces to plug in your own storage: * [ JavaScript ](#tab-panel-6593) * [ TypeScript ](#tab-panel-6594) JavaScript ``` // Read-only contextconst myProvider = { get: async () => "Static content here",}; // Writable context (enables set_context tool)const myWritable = { get: async () => fetchFromMyDB(), set: async (content) => saveToMyDB(content),}; // Skill provider (enables load_context tool)const mySkills = { get: async () => "- api-ref: API Reference\n- guide: User Guide", load: async (key) => fetchDocument(key), set: async (key, content, description) => saveDocument(key, content, description),}; // Search provider (enables search_context tool)const mySearch = { get: async () => "42 entries indexed", search: async (query) => searchMyIndex(query), set: async (key, content) => indexContent(key, content),}; ``` TypeScript ``` // Read-only contextconst myProvider: ContextProvider = { get: async () => "Static content here",}; // Writable context (enables set_context tool)const myWritable: WritableContextProvider = { get: async () => fetchFromMyDB(), set: async (content) => saveToMyDB(content),}; // Skill provider (enables load_context tool)const mySkills: SkillProvider = { get: async () => "- api-ref: API Reference\n- guide: User Guide", load: async (key) => fetchDocument(key), set: async (key, content, description) => saveDocument(key, content, description),}; // Search provider (enables search_context tool)const mySearch: SearchProvider = { get: async () => "42 entries indexed", search: async (query) => searchMyIndex(query), set: async (key, content) => indexContent(key, content),}; ``` You can also implement `SessionProvider` to replace the SQLite storage entirely: * [ JavaScript ](#tab-panel-6595) * [ TypeScript ](#tab-panel-6596) JavaScript ``` const myStorage = { async getMessage(id) { /* ... */ }, async getHistory(leafId) { /* ... */ }, async getLatestLeaf() { /* ... */ }, async getBranches(messageId) { /* ... */ }, async getPathLength(leafId) { /* ... */ }, async appendMessage(message, parentId) { /* ... */ }, async updateMessage(message) { /* ... */ }, async deleteMessages(messageIds) { /* ... */ }, async clearMessages() { /* ... */ }, async addCompaction(summary, fromId, toId) { /* ... */ }, async getCompactions() { /* ... */ }, async searchMessages(query, limit) { /* ... */ },}; ``` TypeScript ``` const myStorage: SessionProvider = { async getMessage(id) { /* ... */ }, async getHistory(leafId?) { /* ... */ }, async getLatestLeaf() { /* ... */ }, async getBranches(messageId) { /* ... */ }, async getPathLength(leafId?) { /* ... */ }, async appendMessage(message, parentId?) { /* ... */ }, async updateMessage(message) { /* ... */ }, async deleteMessages(messageIds) { /* ... */ }, async clearMessages() { /* ... */ }, async addCompaction(summary, fromId, toId) { /* ... */ }, async getCompactions() { /* ... */ }, async searchMessages(query, limit) { /* ... */ },}; ``` ## Postgres providers By default, Session storage uses Durable Object SQLite and creates tables lazily. If you need session data in an external Postgres database for cross-agent queries, analytics, or shared storage, use `PostgresSessionProvider`, `PostgresContextProvider`, and `PostgresSearchProvider`. These providers work with Postgres-compatible databases through [Hyperdrive](https://developers.cloudflare.com/hyperdrive/) for connection pooling. ### 1\. Create a Hyperdrive config Create a Hyperdrive config for your Postgres database: Terminal window ``` npx wrangler hyperdrive create my-session-db \ --connection-string="postgresql://user:password@host:port/dbname" ``` Then add the Hyperdrive binding to `wrangler.jsonc`: * [ wrangler.jsonc ](#tab-panel-6541) * [ wrangler.toml ](#tab-panel-6542) JSONC ``` { "$schema": "./node_modules/wrangler/config-schema.json", "compatibility_flags": [ "nodejs_compat" ], "hyperdrive": [ { "binding": "HYPERDRIVE", "id": "" } ], "placement": { "mode": "smart" }} ``` TOML ``` compatibility_flags = ["nodejs_compat"] [[hyperdrive]]binding = "HYPERDRIVE"id = "" [placement]mode = "smart" ``` If you know your database region, configure placement close to the database to reduce query latency. ### 2\. Create the tables The Postgres user may not have permission to create tables at runtime. Run the schema once in your database console: ``` CREATE TABLE IF NOT EXISTS assistant_messages ( id TEXT NOT NULL, session_id TEXT NOT NULL DEFAULT '', parent_id TEXT, role TEXT NOT NULL, content TEXT NOT NULL, text_content TEXT NOT NULL DEFAULT '', created_at TIMESTAMPTZ DEFAULT NOW(), content_tsv TSVECTOR GENERATED ALWAYS AS (to_tsvector('english', text_content)) STORED, PRIMARY KEY (session_id, id)); CREATE INDEX IF NOT EXISTS idx_assistant_msg_parent ON assistant_messages (parent_id);CREATE INDEX IF NOT EXISTS idx_assistant_msg_session ON assistant_messages (session_id);CREATE INDEX IF NOT EXISTS idx_assistant_msg_fts ON assistant_messages USING GIN (content_tsv); CREATE TABLE IF NOT EXISTS assistant_compactions ( id TEXT PRIMARY KEY, session_id TEXT NOT NULL DEFAULT '', summary TEXT NOT NULL, from_message_id TEXT NOT NULL, to_message_id TEXT NOT NULL, created_at TIMESTAMPTZ DEFAULT NOW()); CREATE TABLE IF NOT EXISTS cf_agents_context_blocks ( label TEXT PRIMARY KEY, content TEXT NOT NULL, updated_at TIMESTAMPTZ DEFAULT NOW()); CREATE TABLE IF NOT EXISTS cf_agents_search_entries ( label TEXT NOT NULL, key TEXT NOT NULL, content TEXT NOT NULL, content_tsv TSVECTOR GENERATED ALWAYS AS (to_tsvector('english', content)) STORED, created_at TIMESTAMPTZ DEFAULT NOW(), updated_at TIMESTAMPTZ DEFAULT NOW(), PRIMARY KEY (label, key)); CREATE INDEX IF NOT EXISTS idx_search_entries_fts ON cf_agents_search_entries USING GIN (content_tsv); ``` ### 3\. Wire it up Install `pg`, then create a client from the Hyperdrive connection string and pass it to the Postgres providers: npm yarn pnpm bun ``` npm i pg ``` ``` yarn add pg ``` ``` pnpm add pg ``` ``` bun add pg ``` * [ JavaScript ](#tab-panel-6597) * [ TypeScript ](#tab-panel-6598) JavaScript ``` import { Agent } from "agents";import { PostgresContextProvider, PostgresSearchProvider, PostgresSessionProvider, Session,} from "agents/experimental/memory/session";import { Client } from "pg"; export class MyAgent extends Agent { session; pgClient; async onStart() { const client = new Client({ connectionString: this.env.HYPERDRIVE.connectionString, }); await client.connect(); this.pgClient = client; const sessionId = this.ctx.id.toString(); this.session = Session.create( new PostgresSessionProvider(client, sessionId), ) .withContext("soul", { provider: { get: async () => "You are a helpful assistant.", }, }) .withContext("memory", { description: "Short facts", maxTokens: 1100, provider: new PostgresContextProvider(client, `memory_${sessionId}`), }) .withContext("knowledge", { description: "Searchable knowledge base", provider: new PostgresSearchProvider(client), }) .withCachedPrompt( new PostgresContextProvider(client, `_prompt_${sessionId}`), ); }} ``` TypeScript ``` import { Agent } from "agents";import { PostgresContextProvider, PostgresSearchProvider, PostgresSessionProvider, Session,} from "agents/experimental/memory/session";import { Client } from "pg"; export class MyAgent extends Agent { private session?: Session; private pgClient?: Client; async onStart(): Promise { const client = new Client({ connectionString: this.env.HYPERDRIVE.connectionString, }); await client.connect(); this.pgClient = client; const sessionId = this.ctx.id.toString(); this.session = Session.create( new PostgresSessionProvider(client, sessionId), ) .withContext("soul", { provider: { get: async () => "You are a helpful assistant.", }, }) .withContext("memory", { description: "Short facts", maxTokens: 1100, provider: new PostgresContextProvider(client, `memory_${sessionId}`), }) .withContext("knowledge", { description: "Searchable knowledge base", provider: new PostgresSearchProvider(client), }) .withCachedPrompt( new PostgresContextProvider(client, `_prompt_${sessionId}`), ); }} ``` ### Behavior differences When `Session.create()` receives a `SessionProvider` instead of a SQLite-backed provider, it skips SQLite auto-wiring: * **Context blocks need explicit providers.** Each `withContext()` call that should persist data needs a `provider` option. * **`withCachedPrompt()` needs an explicit provider.** Pass a `PostgresContextProvider` to persist the frozen system prompt. * **Session methods are async.** Use `await` for reads and writes so the same code works with local SQLite and external storage. * **Broadcaster support is skipped.** WebSocket status broadcasts for Session events only work with SQLite-backed sessions. ### System prompt lifecycle `freezeSystemPrompt()` returns the cached prompt from storage. On first call, it loads context blocks from providers, renders the prompt, and persists it. Subsequent calls return the stored value without re-rendering. Use `refreshSystemPrompt()` to force reload context blocks, re-render the prompt, and update the stored value. ## Storage tables By default, storage is in Durable Object SQLite and tables are created lazily on first use. Postgres-backed sessions use the external tables shown in the Postgres providers section. | Table | Purpose | | ----------------------------------------------------- | --------------------------------------------------------------------------------------------------------- | | assistant\_messages | Tree-structured messages with id, session\_id, parent\_id, role, content (JSON), created\_at | | assistant\_compactions | Compaction overlays with summary, from\_message\_id, to\_message\_id | | assistant\_fts | FTS5 virtual table for message search (porter stemming, unicode tokenization) | | assistant\_sessions | Session registry (SessionManager only) with name, parent\_session\_id, model, source, token/cost counters | | cf\_agents\_context\_blocks | Persistent context block storage (AgentContextProvider) | | cf\_agents\_search\_entries / cf\_agents\_search\_fts | Searchable context entries and FTS5 index (AgentSearchProvider) | ## Acknowledgments * Session's tree-structured messages are inspired by [Pi ↗](https://pi.dev). * Context blocks are inspired by [Letta AI memory blocks ↗](https://www.letta.com/blog/memory-blocks). * Formatting of blocks is inspired by [Hermes Agent ↗](https://github.com/nousresearch/hermes-agent). ## Related * [Think](https://developers.cloudflare.com/agents/harnesses/think/) — opinionated chat agent that uses Session for conversation storage via `configureSession()` * [Chat agents](https://developers.cloudflare.com/agents/communication-channels/chat/chat-agents/) — `AIChatAgent` with its own message persistence layer * [Store and sync state](https://developers.cloudflare.com/agents/runtime/lifecycle/state/) — `setState()` for simpler key-value persistence ```json {"@context":"https://schema.org","@type":"TechArticle","@id":"https://developers.cloudflare.com/agents/runtime/lifecycle/sessions/#page","headline":"Sessions · Cloudflare Agents docs","description":"Persistent conversation storage with tree-structured messages, context blocks, compaction, full-text search, and AI-controllable tools.","url":"https://developers.cloudflare.com/agents/runtime/lifecycle/sessions/","inLanguage":"en","image":"https://developers.cloudflare.com/dev-products-preview.png","dateModified":"2026-06-05","publisher":{"@type":"Organization","name":"Cloudflare","url":"https://www.cloudflare.com/"},"isPartOf":{"@type":"WebSite","@id":"https://developers.cloudflare.com/#website","name":"Cloudflare Docs","url":"https://developers.cloudflare.com/"},"keywords":["AI"]} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"item":{"@id":"/directory/","name":"Directory"}},{"@type":"ListItem","position":2,"item":{"@id":"/agents/","name":"Agents"}},{"@type":"ListItem","position":3,"item":{"@id":"/agents/runtime/","name":"Runtime"}},{"@type":"ListItem","position":4,"item":{"@id":"/agents/runtime/lifecycle/","name":"Lifecycle"}},{"@type":"ListItem","position":5,"item":{"@id":"/agents/runtime/lifecycle/sessions/","name":"Sessions"}}]} ```