Memnode MCP Server
Yapay zeka ajanları için barındırılan MCP ve API aracılığıyla kalıcı, denetlenebilir bellek. Geri çağırma, yapılandırılmış sorgu, soy, düzeltme ve kiracı kapsamlı uzak belleği destekler.
Dokümantasyon
Hosted + Local Agent Memory
Persistent memory for AI agents, without inventing your own stack.
memnode gives agents long-term memory through a hosted API or a local MCP server. You get inspectable recall, provenance, scoped tokens, and shared tenants instead of stitching memory together from prompts and vectors by hand.
Use it for coding assistants, support agents, and research workflows that need durable recall, visible lineage, and a clean correction path across sessions.
Start freeRead quickstart
Inspect every memoryHosted + localCorrect with lineagePredictable pricing
Record -> Recall -> Lineage
Inspect the memory your agent is actually using
TypeScriptPythonMCP
npm install @memnode/client
import { MemnodeClient } from '@memnode/client'
const client = new MemnodeClient({
apiKey: process.env.MEMNODE_API_KEY,
})
const stored = await client.record({
entity: 'repo:memnox',
text: 'This repo uses Zod to validate API payloads.',
source: {
kind: 'repo_convention',
path: 'app/api/users/route.ts',
},
})
const recalled = await client.recall({
query: 'How do we validate request payloads?',
entity: 'repo:memnox',
})
const lineage = await client.lineage({
nodeId: recalled.results[0].node_id,
})
Returned proof
recall[0].answer
"Use Zod validation in the route layer."
recall[0].why
"Matched repo_convention memory from app/api/users/route.ts"
lineage.chain
observed -> canonical -> corrected
Why it matters
Black-box memory fails quietly. Inspectable memory does not.
When an agent recalls the wrong thing, you need the source, the correction chain, and the current winning memory. That is the real wedge, not just "persistent memory."
Example lineage
Observed
repo_convention from app/api/users/route.ts
Canonical
Use Zod in the route layer for request validation
Corrected
Superseded older yup-based convention after migration
Hosted flow
- Sign up with Supabase Auth and create an account.
- Provision one hosted tenant through the control plane.
- Create a scoped API token and call the Rust data plane over HTTP.
Typed provenance
Memories carry observed, reported, inferred, or hypothesized status instead of collapsing into one flat blob.
Hosted tenants
Provision a shared hosted tenant in the dashboard, mint API tokens, and keep quota and billing in one place.
Local MCP stays
The hosted product does not replace local usage. You can still run `memnode mcp` over stdio on your own machine.
Rust data plane
A signed-control-plane path, multi-tenant registry, and hot-path token cache keep hosted latency practical.
Example Shapes
Three concrete ways teams use memnode
See all use cases →
Conversational assistant
Persist user preferences and past turns across restarts using the standard recall -> answer -> record loop.
Learn more →
Coding assistant
Store project conventions as typed entities instead of free-form notes, then recall them as structured context.
Learn more →
Research agent
Track claims with explicit provenance so later answers can separate reported facts from inferred conclusions.
Learn more →
Start free, keep local in reserve
The hosted SaaS is for fast onboarding, quota-managed tenants, and shared team workflows. The local mode stays available when you need offline or self-managed memory instead.
PricingCreate account
Latest writings
All articles →
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The Consolidation Loop: How Agents Turn Context Into Durable Memory
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Context Bleed: Why Long-Running Agents Need Per-Project Memory Isolation
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Stop Gluing Three Databases Together for Agent Memory
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Context Engineering for AI Agents: Memory Is the Half Nobody Automates
Context engineering replaced prompt engineering as the 2026 buzzword, but most of the effort goes into sliding windows and summarization....
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Is RAG Dead for Agents? Retrieval vs Memory in 2026
The "RAG is dead" claim is loud in 2026 and overstated. Naive top-k retrieval over static chunks is the wrong tool for agent memory, but...
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The AI Memory Wars: How ChatGPT, Claude and Gemini Remember You - and the Black-Box Problem
In 2026 memory became the battleground between ChatGPT, Claude and Gemini. An honest, technical comparison of three approaches - opaque v...