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With AI, Everyone is a Dev. EveryDev.ai © 2026
    1. Home
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    3. Itsuki
    Itsuki icon

    Itsuki

    Agent Memory

    A structured memory layer for AI tools that extracts durable facts from conversations and serves them back across 26+ connected assistants, coding agents, and frameworks via MCP, REST, and SDKs.

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    At a Glance

    Pricing
    Open Source

    Free during early access with approximately 100 saves per day.

    Engagement

    Available On

    Windows
    macOS
    Linux
    Web
    API

    Resources

    WebsiteDocsGitHubllms.txt

    Topics

    Agent MemoryMCP ServersAI Infrastructure

    Alternatives

    MCP-MemoryMemUSenseLab (AMFS)
    Developer
    ItsukiIndia

    Listed Sep 2026

    About Itsuki

    Itsuki (樹, "tree") is an open-source structured memory service for AI applications, assistants, coding agents, and workflows. Built entirely on Cloudflare by Ziyad Ej and published under Apache 2.0, it provides a single memory layer that sits under the AI tools you already use — connect once with one key and facts saved in one tool are recalled in any other. The hosted service at itsuki.app is free during early access.

    What It Is

    Itsuki solves the session-amnesia problem that affects every AI assistant: models forget everything between conversations, and the usual workaround — replaying the full transcript — causes prompts to grow without bound while corrections never stick. Itsuki takes the opposite approach: raw text goes in, a small set of durable, structured facts comes out, and the transcript itself is never what gets recalled. The result is a compact, inspectable, editable graph of memories — entities, events, details, edges, and relationships — that any connected tool can query with a single API call.

    How the Memory Graph Works

    The extraction pipeline converts conversational text into typed objects rather than opaque embeddings:

    • Nodes — stable things: a person, project, skill, condition, or tool
    • Slices — durable details attached to a node ("trains three days a week")
    • Events — changes over time: started, moved, completed, passed away
    • Edges — stated relationships between nodes
    • Receipts — a per-write record of what was saved, updated, or refused, and why

    The backend is the authority, not the model. An LLM only proposes extractions; a deterministic backend independently re-judges every proposal against confidence floors, junk rules, and user-defined admission rules before anything is committed. Secrets are stripped before any durable row is created. Every write returns a receipt — including savedTotal: 0 when nothing durable was found, which is a legitimate successful response, not a failure.

    Four Access Paths

    Itsuki exposes one account- and scope-aware backend through four interfaces:

    • MCP — a Streamable HTTP endpoint for Claude, ChatGPT, Cursor, Claude Code, Codex, OpenCode, Antigravity, OpenClaw, Hermes, and Pi; paste one private URL into the client's connector settings
    • REST API — four core endpoints (/v1/save, /v1/recall, /v1/turn, /v1/ingest) with a Bearer key
    • SDKs — first-party itsuki packages for Node 18+ (zero dependencies) and Python (httpx)
    • Dashboard — browser-based Memories, Graph, Requests, History, and Playground views

    The MCP server exposes eleven tools including save_memory, save_conversation, recall_memory, list_memories, update_memory, rollback_memory, and delete_all_memories. A Claude Code plugin delivers memory via three lifecycle hooks (SessionStart, SessionEnd, and a per-turn hook) with a local protected outbox that queues batches durably even when offline.

    Architecture and Deployment Model

    The entire stack runs on Cloudflare: a Worker handles routing, D1 stores the graph, one Durable Object per user batches and runs extraction, Workers AI handles extraction and embeddings, and Vectorize powers semantic recall. The recall path runs five independent lanes — exact matching, alias matching, full-text search, vector similarity, and two-hop graph expansion — fused by reciprocal rank fusion into a bounded context block (roughly 1,800–2,800 characters for typical queries, up to 24,000 at the hard ceiling). Reading never involves a generative model; only one embedding call and an optional reranker call are made.

    Trust and Control Design

    The homepage states several explicit design commitments: delete operations tombstone rows and purge vectors so nothing deleted is ever served again; every write leaves an audit receipt; updates keep full revision history with a Restore control; automatic summary passes are revision-fenced so they cannot silently overwrite a human edit; and no data is used to train models or shared with third-party trackers. Fonts are self-hosted to avoid CDN IP exposure.

    Current Status

    The repository (12ziyad/universal-memory-engine) was created in June 2026 and last pushed in August 2026. The hosted service is described as free during early access, with approximately 100 saves per day available. The Node SDK is at version 0.3.0 and the Python SDK at 0.4.1 as of the current README. The repository notes that publication runs behind deployment — the newest modules and migrations reach the repository later than the hosted service.

    Itsuki - 1

    Community Discussions

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    Pricing

    OPEN SOURCE

    Early Access

    Free during early access with approximately 100 saves per day.

    • MCP server with 11 tools
    • REST API access
    • Python and Node.js SDKs
    • Dashboard with Memories, Graph, Requests, History
    • Playground

    Capabilities

    Key Features

    • Structured memory graph (nodes, events, edges, slices)
    • MCP server with 11 tools
    • REST API with /v1/save, /v1/recall, /v1/turn, /v1/ingest
    • Python and Node.js SDKs
    • Claude Code plugin with lifecycle hooks
    • Per-write receipts with skip reasons
    • Revision history and rollback for every memory
    • Five-lane recall fusion (exact, alias, full-text, vector, graph)
    • Admission rules and user-defined filters
    • Secret scrubbing before any durable write
    • Audit trail for all writes
    • JSON export of full memory space
    • Dashboard with Memories, Graph, Requests, History views
    • Playground for testing extraction pipeline
    • Sub-tenant memory spaces via userId
    • Managed projects for isolation
    • Webhook support
    • Delete with tombstone and vector purge
    • No model training on user data

    Integrations

    Claude
    Claude Code
    ChatGPT
    Cursor
    Codex
    OpenCode
    Antigravity
    OpenClaw
    Hermes
    Pi
    LangChain
    CrewAI
    AutoGen
    Agno
    LlamaIndex
    Mastra
    Vercel AI SDK
    CAMEL
    Google ADK
    OpenAI Agents SDK
    n8n
    Dify
    Convex
    Cloudflare Workers
    Cloudflare D1
    Cloudflare Vectorize
    Cloudflare Workers AI
    API Available
    View Docs

    Ratings & Reviews

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    Developer

    Itsuki Team

    Itsuki builds structured memory infrastructure for AI applications, assistants, agents, and workflows. The project is created by Ziyad Ej and published under Apache 2.0, with the core engine running entirely on Cloudflare. Itsuki exposes a single memory layer through MCP, REST, and first-party SDKs, letting any connected AI tool save and recall durable facts without replaying transcripts. The hosted service at itsuki.app is free during early access.

    India
    Read more about Itsuki Team
    WebsiteGitHub
    1 tool in directory

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