Agent SDK and Runtime · Public

MemMachine

Agent SDK project for checking tool calls, state, handoffs, traces, evaluation, and permission boundaries.

Agent SDKTool callsHandoffsTracingEvaluation boundaries

Best fitDevelopers building observable, testable, multi-tool agent applications.

Check whether this project matches your task before installing it.

What it can doAgent runtime preflights, tool permissions, state/handoff boundaries, trace acceptance, and evaluation checks

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshot3.3k stars

192 forks · 43 contributors

Doramagic.ai Last verification date: 2026-07-06 Verification method: source evidence, semantic profile, public page gate, and static build acceptance.

Official first step Read manual preview Source repository

Publication status · 2026-07-06

What is MemMachine?

MemMachine is an Agent SDK or runtime for tool calls, state, handoffs, tracing, and evaluation boundaries.
Best fit: Developers building observable, testable, multi-tool agent applications.
Not for: Not for one prompt, simple API calls, or environments that cannot isolate tool permissions.
Capability added to an AI workflow: Agent runtime preflights, tool permissions, state/handoff boundaries, trace acceptance, and evaluation checks
First safe verification step: Verify one minimal agent loop with fake tools and temporary credentials first.
Verification state: source, Quick Start, and sandbox install checks are recorded as passed.
Top risk: May increase setup, validation, or first-run risk for the user.
Evidence base: https://github.com/MemMachine/MemMachine, https://github.com/MemMachine/MemMachine#readme, Human Manual, Pitfall Log

Quick decision

Use this section to decide whether the project is worth a deeper read.

Best forDevelopers building observable, testable, multi-tool agent applications.

Match the project to your task before installing it.

CapabilityAgent runtime preflights, tool permissions, state/handoff boundaries, trace acceptance, and evaluation checks

Agent SDK project for checking tool calls, state, handoffs, traces, evaluation, and permission boundaries.

RepositoryMemMachine/MemMachine

3.3k stars · 192 forks

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.

MemMachine Overview & System Architecture

Related topics: Memory Architecture: Episodic, Profile/Semantic, and Working Memory, Storage Backends: Vector Stores, Graph Databases, and Episode Persistence, SDKs, REST API, MCP, and Fra...

Source: https://github.com/MemMachine/MemMachine / Human Manual

Memory Architecture: Episodic, Profile/Semantic, and Working Memory

Related topics: MemMachine Overview & System Architecture, Storage Backends: Vector Stores, Graph Databases, and Episode Persistence

Source: https://github.com/MemMachine/MemMachine / Human Manual

Storage Backends: Vector Stores, Graph Databases, and Episode Persistence

Related topics: Memory Architecture: Episodic, Profile/Semantic, and Working Memory, MemMachine Overview & System Architecture

Source: https://github.com/MemMachine/MemMachine / Human Manual

SDKs, REST API, MCP, and Framework Integrations

Related topics: MemMachine Overview & System Architecture, Memory Architecture: Episodic, Profile/Semantic, and Working Memory

Source: https://github.com/MemMachine/MemMachine / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

Sources: https://github.com/MemMachine/MemMachine, Human Manual, Project Pack evidence, and downstream validation signals.

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.

Stars3.3k stars

Forks192 forks

Contributors43 contributors

Licenseunknown

Community Discussion Evidence

12 source-linked items

Review these external discussions before using MemMachine with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

01
[Feat]: Add Milvus vector store backend
github / github_issue
02
[Feat]: Add Apache AGE as an alternative graph backend for episodic memo
github / github_issue
03
SQLiteVectorStore: row_id reuse + concurrent async writes silently lose
github / github_issue
04
[Bug]: Dead loop to trigger memmachine_server.semantic_memory.semantic_i
github / github_issue
05
[Bug]: MemMachineClient does not return semantic memory when calling sea
github / github_issue
06
[Bug]: Semantic messages duplication
github / github_issue
07
v0.3.9
github / github_release
08
v0.3.8
github / github_release
09
v0.3.7
github / github_release
10
v0.3.6
github / github_release
11
v0.3.5
github / github_release
12
v0.3.4
github / github_release

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.

Try the prompt first

Test the workflow without installing the upstream project.

preview

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify

pip install memmachine-client

Official start command · https://github.com/MemMachine/MemMachine#readme · verified: yes

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

MemMachine Manual

Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.

Open the full manual

https://github.com/MemMachine/MemMachine Project Manual
Table of Contents
MemMachine Overview & System Architecture
Related Pages
Purpose and Scope
Core Memory Model
System Architecture
Storage Backends and Configuration

MemMachine Overview & System Architecture

Related topics: Memory Architecture: Episodic, Profile/Semantic, and Working Memory, Storage Backends: Vector Stores, Graph Databases, and Episode Persistence, SDKs, REST API, MCP, and Fra...

Source: https://github.com/MemMachine/MemMachine / Human Manual

Memory Architecture: Episodic, Profile/Semantic, and Working Memory

Related topics: MemMachine Overview & System Architecture, Storage Backends: Vector Stores, Graph Databases, and Episode Persistence

Source: https://github.com/MemMachine/MemMachine / Human Manual

Storage Backends: Vector Stores, Graph Databases, and Episode Persistence

Related topics: Memory Architecture: Episodic, Profile/Semantic, and Working Memory, MemMachine Overview & System Architecture

Source: https://github.com/MemMachine/MemMachine / Human Manual

SDKs, REST API, MCP, and Framework Integrations

Related topics: MemMachine Overview & System Architecture, Memory Architecture: Episodic, Profile/Semantic, and Working Memory

Source: https://github.com/MemMachine/MemMachine / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual

BundleComplete Project Pack AssetAI Context Pack AssetBoundary & Risk Card AssetHuman Manual AssetPitfall Log AssetPrompt Preview AssetQuick Start EvidenceREPO_INSPECTION.json

Preflight checks

Treat this page as a planning asset, not proof that your local environment is ready.

The manual is generated from source-linked project files and Doramagic validation signals.
Community evidence warnings stay visible instead of being converted into marketing claims.
This English page is indexable because the locale quality gate passed and explicit English index approval is enabled.
Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.