memorix

Open-source cross-agent memory layer for coding agents via MCP. Compatible with Claude Code, Codex, Cursor, Windsurf, Gemini CLI, Antigravity, OpenClaw, Hermes Agent, Oh-my-Pi, Pi, Copilot, Kiro, OpenCode, and Trae.

721 stars TypeScriptOthers Updated Sep 4, 2026

ai-codingclaude-codecopilotcursormcpmcp-servermodel-context-protocoltypescriptwindsurfagent-memorygemini-clicodexcoding-agentslocal-firstcross-agent-memoryantigravityhermes-agentoh-my-piopenclawopencode

Documentation

Memorix

Local-first shared memory layer for AI coding agents.

One project memory system for Claude Code, Codex, CodeBuddy Code, Cursor, Windsurf, Copilot, Gemini CLI, OpenCode, OpenClaw, Hermes Agent, Oh-my-Pi, Pi, Kiro, Antigravity, Trae, DeepSeek Harness, WorkBuddy, and any MCP-capable agent.

> Maintainer status and the current public work boundary live in

> ACTIVE_WORK.md. It is the repository's single living work

> tracker.

Memorix gives the AI coding agents you already use a shared, searchable project memory that survives new chats, IDE switches, terminal sessions, and handoffs. The memory lives under the Git project, not inside one chat window or one tool.

Use Claude Code today, Codex tomorrow, and Cursor in the afternoon. The agent can change; the project memory stays the same.

Use Memorix when you keep re-explaining the same project to a new agent session: the last session already figured something out, another IDE cannot see it, or a design decision is buried in a chat you cannot find anymore.

Problem	What Memorix adds
The next session forgets what the last session learned	Project-scoped memory, session summaries, timelines, and detail retrieval
Different agents know different things	One local memory pool available through MCP, hooks, CLI, SDK, and the bundled terminal agent
Git records what changed, but agents cannot recall it well	Git Memory turns commits into searchable engineering facts
Architecture decisions disappear into old chats	Reasoning Memory stores why choices were made, with alternatives and trade-offs
Static rule files drift	Gotchas, fixes, and project skills evolve from real work
Parallel agent work gets messy	`memorix orchestrate` coordinates task context, handoffs, locks, verification, and review loops

Memorix is local-first. SQLite is the canonical store, Orama handles search, and LLM-backed formation/embedding is optional. Without model keys, Memorix still works with local full-text retrieval.

Capabilities

Memorix is more than a memory store. It also installs agent integrations, keeps useful work events, turns commits into project facts, exposes a local control plane, and can coordinate multi-agent work when a task needs it.

Capability	What it does	Entry point
Memory Autopilot	A bounded task Workset with start files, current memory, source-backed knowledge, workflow starts, cautions, and verification. Compact JSON receipts keep fallback CLI use bounded too.	`memorix context "..." --brief-json`, `memorix resume "..." --brief-json`, `memorix_project_context`
Observation Memory	Searchable facts, fixes, gotchas, session summaries, and implementation notes scoped to the current Git project	`memorix memory`, MCP memory tools
Curated Long-term Memory	Deliberately reviewed episodic, semantic, and procedural memory with source evidence. Only an explicitly portable user item can cross local projects	`memorix memory long-term`
Code State and Code Memory	Versioned local code snapshots, source-backed TypeScript/JavaScript symbols and relations, file/symbol links, and freshness checks. Other languages keep the honest Lite fallback; an already-indexed local CodeGraph or SCIP result can add a bounded external outline without taking over the local index.	`memorix codegraph status\	refresh\	init\	sync`, automatic context refresh
Git Memory	Commit-derived engineering facts that answer what changed, where, and why it matters	`memorix ingest commit`, git hook
Reasoning Memory	Design rationale, alternatives, trade-offs, and risks that should survive beyond one chat	`memorix reasoning`, memory formation
Knowledge Workspace	Review-gated source-backed claims, Markdown pages, and canonical project workflows; proposals never overwrite reviewed pages silently	`memorix knowledge`, `memorix knowledge workflow`
Agent setup	One setup path for MCP, rules, hooks, skills, plugins, bundles, or extensions depending on the agent	`memorix setup --agent

Claude Code

official plugin + MCP + hooks + skills

Codex CLI

official plugin + MCP + AGENTS.md

GitHub Copilot CLI

plugin + MCP + hooks + skills

Cursor

MCP + rules + skills

Windsurf

MCP + rules + hooks

Gemini CLI

extension + MCP + hooks + skills

OpenCode

local plugin + MCP + skills + AGENTS.md

pi coding agent

package + extension + skill

Kiro

MCP + steering + hooks

Antigravity

plugin + MCP + hooks + skills

Trae

MCP + project rules

memcode

bundled terminal agent

OpenClaw

bundle + MCP + hooks + skills

Hermes Agent

plugin + MCP + hooks + skills

Oh-my-Pi

package + MCP + hooks + skills

DeepSeek Harness

MCP patch + AGENTS.md + skills

Any MCP Client

stdio or HTTP MCP

Works with agents that speak MCP, expose hooks/rules, or support plugin/package entries. One local-first memory layer shared across all of them.

Integration surfaces:

Surface	What it does	Memorix entry
Setup command	Installs the recommended one-time user-level Memorix integration	`memorix setup --agent

Generated daily from GitHub stargazer events by GitHub Actions.

Frequently asked questions

What is memorix?

memorix is Open-source cross-agent memory layer for coding agents via MCP. Compatible with Claude Code, Codex, Cursor, Windsurf, Gemini CLI, Antigravity, OpenClaw, Hermes Agent, Oh-my-Pi, Pi, Copilot, Kiro, OpenCode, and Trae.

How do I install memorix?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is memorix open source?

Yes — it is hosted on GitHub at https://github.com/AVIDS2/memorix and has 721 stars.

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