Memory for Your AI Agents

Persistent context for every AI agent — without sending your data to the cloud. Works offline. Zero configuration.

Start for free →

Context-aware code generation

// user describes feature

> Add rate limiting to API routes

Memory scan

3 related ADRs found

Generated

Your AI agent already knows your codebase architecture, naming conventions, and past decisions.

describe a feature in plain English

Astrivya surfaces relevant memories — prior implementations, related types, historical discussions.

generated code matches your existing patterns from day one

Scale

Persistent context
across every session

Your knowledge graph persists across conversations, agents, and teams. No more repeating context every time you start a new chat.

Local-first. Always available.

Your knowledge graph lives in a local SQLite file. Zero data leaves your machine unless you choose to sync. Works offline, air-gapped, or on a plane.

astrivya — zsh

One command to initialize

Run npx @astrivya/mcp init in your project. No config files, no API keys, no cloud sign-up. Your local knowledge graph is ready instantly.

utils.ts+5 −4

import { createMcpServer } from '@astrivya/mcp';

import { MemoryStore } from '@astrivya/memory';

export const server = createMcpServer({

name: 'astrivya-agent',

− memory: new MemoryStore({ maxEntries: 1000 }),

− tools: ['query', 'search'],

+ memory: new MemoryStore({

+ maxEntries: 5000,

+ vectorIndex: true,

+ localOnly: true,

+ }),

+ tools: ['query', 'search', 'embed', 'summarize'],

knowledgeGraph: true,

});

Query your knowledge graph

Your AI agent can search memories, recall past decisions, and reference code history — all from natural language queries.

Claude Desktop

What's the current state of the auth refactor?

From Astrivya memory: auth refactor is 70% complete. PR #142 merged (RBAC layer). Remaining: token refresh middleware. Decision log in ADR-007.

Show me the ADR summary

ADR-007: Migrate from JWT to session tokens. Rationale: better revocation, mobile support. Status: approved. Started: Feb 3.

MUniversal MCP connector

One MCP server works with every compatible agent. Connect Claude, Cursor, ChatGPT, or any tool that speaks the Model Context Protocol.

Cursor (later, same session)

Implement the token refresh middleware we decided on

From Astrivya memory: ADR-007 specifies session tokens. Middleware should intercept 401s, refresh via /auth/refresh, retry. The auth refactor PR #142 set up the base session store.

Starting implementation based on the ADR and existing store pattern...

CContext follows your agents

Memories persist across conversations and agents. Start a chat in Claude, continue in Cursor — your context is always there.

Works with
every AI.
One MCP server.

Plug Astrivya into any MCP-compatible agent — Claude Desktop, Cursor, ChatGPT, VS Code, Windsurf. Your context follows you everywhere.

Learn More ›

Scale

Memory for
your AI Agents
that persists.

Your knowledge graph stores codebase context, decisions, and history locally. Every AI agent you use can access it — zero cloud dependency.

Built for teams that need shared context

From solo developers to entire organizations. Team memory, shared knowledge graphs, and context handoffs across your engineering team.

Team Memory

Shared Knowledge Graph

Alice

Bob

Carol

Dave

Team memory that works together

Share knowledge graphs across your team. Every member's AI agent has access to shared context — decisions, architecture, and project history.

Knowledge Graph

Claude

Cursor

ChatGPT

VS Code

Works with any MCP agent

Claude Desktop, Cursor, ChatGPT, VS Code — any MCP-compatible agent can tap into your team's shared knowledge graph.

Install

Initializing Astrivya MCP server...

✓ Knowledge graph created

✓ Server running on port 3000

Sources

Run one command

npx @astrivya/mcp init in your project. No config files, no API keys, no cloud sign-up. Your local knowledge graph is ready.

Connect

astrivya-mcp start --port 3000

MCP server connected to Claude Desktop

4 tools available: query, search, embed, summarize

Sources

Point your agent to the server

Connect Claude Desktop, Cursor, ChatGPT, or any MCP-compatible agent. One-line setup, works with every tool.

Query

Why did we choose SQLite over Postgres?

From memory: decision logged Mar 12 — local-first requirement, offline support, zero ops. ADR-004 has full rationale.

Sources

Ask anything with full context

Your AI agent now has persistent access to your codebase history, decisions, TODOs, and architecture. Context survives across sessions.

Build more. Pay less. Scale smart.

Try free for 14 days with full access to all features. Upgrade only when your AI agent proves value.

Starter

For solo developers getting started

Personal agent & memory
3 active connectors
1,000 active memories
500K monthly token allowance
Community support
MCP server access

ProPopular

$19

For professionals who need more power

Personal agent & memory
5 active connectors
5,000 active memories
5M monthly token allowance
Daily briefings & Slack bot
5 custom skill slots
50 workflow runs / month
Priority support

Full feature comparison →

Frequently asked questions

Get answers to commonly asked questions.

Your AI agents deserve
persistent memory

Give every AI agent in your toolkit shared context across sessions. One command, zero configuration, free forever.

Install Astrivya

Memory for Your AI Agents

Persistent context for every AI agent — without sending your data to the cloud. Works offline. Zero configuration.

Start for free →

Context-aware code generation

// user describes feature

> Add rate limiting to API routes

Memory scan

3 related ADRs found

Generated

Your AI agent already knows your codebase architecture, naming conventions, and past decisions.

describe a feature in plain English

Astrivya surfaces relevant memories — prior implementations, related types, historical discussions.

generated code matches your existing patterns from day one

Scale

Persistent context
across every session

Your knowledge graph persists across conversations, agents, and teams. No more repeating context every time you start a new chat.

Local-first. Always available.

Your knowledge graph lives in a local SQLite file. Zero data leaves your machine unless you choose to sync. Works offline, air-gapped, or on a plane.

astrivya — zsh

One command to initialize

Run npx @astrivya/mcp init in your project. No config files, no API keys, no cloud sign-up. Your local knowledge graph is ready instantly.

utils.ts+5 −4

import { createMcpServer } from '@astrivya/mcp';

import { MemoryStore } from '@astrivya/memory';

export const server = createMcpServer({

name: 'astrivya-agent',

− memory: new MemoryStore({ maxEntries: 1000 }),

− tools: ['query', 'search'],

+ memory: new MemoryStore({

+ maxEntries: 5000,

+ vectorIndex: true,

+ localOnly: true,

+ }),

+ tools: ['query', 'search', 'embed', 'summarize'],

knowledgeGraph: true,

});

Query your knowledge graph

Your AI agent can search memories, recall past decisions, and reference code history — all from natural language queries.

Claude Desktop

What's the current state of the auth refactor?

From Astrivya memory: auth refactor is 70% complete. PR #142 merged (RBAC layer). Remaining: token refresh middleware. Decision log in ADR-007.

Show me the ADR summary

ADR-007: Migrate from JWT to session tokens. Rationale: better revocation, mobile support. Status: approved. Started: Feb 3.

MUniversal MCP connector

One MCP server works with every compatible agent. Connect Claude, Cursor, ChatGPT, or any tool that speaks the Model Context Protocol.

Cursor (later, same session)

Implement the token refresh middleware we decided on

From Astrivya memory: ADR-007 specifies session tokens. Middleware should intercept 401s, refresh via /auth/refresh, retry. The auth refactor PR #142 set up the base session store.

Starting implementation based on the ADR and existing store pattern...

CContext follows your agents

Memories persist across conversations and agents. Start a chat in Claude, continue in Cursor — your context is always there.

Works with
every AI.
One MCP server.

Plug Astrivya into any MCP-compatible agent — Claude Desktop, Cursor, ChatGPT, VS Code, Windsurf. Your context follows you everywhere.

Learn More ›

Scale

Memory for
your AI Agents
that persists.

Your knowledge graph stores codebase context, decisions, and history locally. Every AI agent you use can access it — zero cloud dependency.

Built for teams that need shared context

From solo developers to entire organizations. Team memory, shared knowledge graphs, and context handoffs across your engineering team.

Team Memory

Shared Knowledge Graph

Alice

Bob

Carol

Dave

Team memory that works together

Share knowledge graphs across your team. Every member's AI agent has access to shared context — decisions, architecture, and project history.

Knowledge Graph

Claude

Cursor

ChatGPT

VS Code

Works with any MCP agent

Claude Desktop, Cursor, ChatGPT, VS Code — any MCP-compatible agent can tap into your team's shared knowledge graph.

Install

Initializing Astrivya MCP server...

✓ Knowledge graph created

✓ Server running on port 3000

Sources

Run one command

npx @astrivya/mcp init in your project. No config files, no API keys, no cloud sign-up. Your local knowledge graph is ready.

Connect

astrivya-mcp start --port 3000

MCP server connected to Claude Desktop

4 tools available: query, search, embed, summarize

Sources

Point your agent to the server

Connect Claude Desktop, Cursor, ChatGPT, or any MCP-compatible agent. One-line setup, works with every tool.

Query

Why did we choose SQLite over Postgres?

From memory: decision logged Mar 12 — local-first requirement, offline support, zero ops. ADR-004 has full rationale.

Sources

Ask anything with full context

Your AI agent now has persistent access to your codebase history, decisions, TODOs, and architecture. Context survives across sessions.

Build more. Pay less. Scale smart.

Try free for 14 days with full access to all features. Upgrade only when your AI agent proves value.

Starter

For solo developers getting started

Personal agent & memory
3 active connectors
1,000 active memories
500K monthly token allowance
Community support
MCP server access

ProPopular

$19

For professionals who need more power

Personal agent & memory
5 active connectors
5,000 active memories
5M monthly token allowance
Daily briefings & Slack bot
5 custom skill slots
50 workflow runs / month
Priority support

Full feature comparison →

Frequently asked questions

Get answers to commonly asked questions.

Your AI agents deserve
persistent memory

Give every AI agent in your toolkit shared context across sessions. One command, zero configuration, free forever.

Install Astrivya

Memory for Your AI Agents

Context-aware code generation

Persistent contextacross every session

Local-first. Always available.

Works withevery AI.One MCP server.

Memory foryour AI Agentsthat persists.

Built for teams that need shared context

Run one command

Point your agent to the server

Ask anything with full context

Build more. Pay less. Scale smart.

Starter

ProPopular

Frequently asked questions

Your AI agents deservepersistent memory

Memory for Your AI Agents

Context-aware code generation

Persistent contextacross every session

Local-first. Always available.

Works withevery AI.One MCP server.

Memory foryour AI Agentsthat persists.

Built for teams that need shared context

Run one command

Point your agent to the server

Ask anything with full context

Build more. Pay less. Scale smart.

Starter

ProPopular

Frequently asked questions

Your AI agents deservepersistent memory

Persistent context
across every session

Works with
every AI.
One MCP server.

Memory for
your AI Agents
that persists.

Your AI agents deserve
persistent memory

Persistent context
across every session

Works with
every AI.
One MCP server.

Memory for
your AI Agents
that persists.

Your AI agents deserve
persistent memory