Memory Infrastructure for AI Apps and Agents
TekMemo Cloud gives developers a managed memory layer for agents, copilots, assistants, and AI-powered products. Store durable context, retrieve relevant knowledge, track sessions, and keep AI workflows consistent from prototype to production.
Powering AI apps & agents at
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Monitor your workspace memory infrastructure
Projects
4
active
Memory Items
12.8k
indexed
Recall Queries
3.2k
this period
Sync Health
100%
healthy
Recent Activity
Core memory updated in project-ai-assistant
2m ago
Recall query: user preferences for Python
8m ago
Sync completed for project-api-integration
14m ago
Project Health
Memory
The Context Bottleneck
Building memory into AI products quickly turns into infrastructure work. Teams have to manage storage, embeddings, retrieval, indexing, permissions, session history, and auditability before their apps can reliably remember anything.
Without a dedicated memory layer, agents repeat tasks, copilots forget project rules, support bots lose customer history, and AI workflows become inconsistent across sessions.
Unified Memory Infrastructure
One managed API for persistent context across AI apps, agents, copilots, support bots, and developer workflows. Store memory, retrieve relevant context, track sessions, and let TekMemo handle indexing, embeddings, permissions, and recall infrastructure.
import { createTekMemoCloudClient } from "@tekmemo/cloud-client";
const client = createTekMemoCloudClient({
apiKey: process.env.TEKMEMO_API_KEY!,
defaultProjectId: "prj_4c2n",
});
// Store durable context
await client.memory.add({
sessionId: "user_123",
content: "The user prefers Python over JavaScript.",
metadata: {
source: "chat_log",
},
});
// Retrieve relevant memory
const memories = await client.recall.query({
query: "What language does this user prefer?",
limit: 5,
});Developer-First API
Typed SDKs, clean HTTP APIs, and framework adapters for modern TypeScript and Python stacks. Add durable memory to your product without building retrieval infrastructure from scratch.
Managed Recall Pipeline
TekMemo handles chunking, embeddings, indexing, model/version metadata, and retrieval updates so your team can focus on product behavior instead of memory plumbing.
Project-Aware Isolation
Keep memory scoped by workspace, project, user, session, tool, or agent instance. TekMemo gives teams isolated, structured context instead of one fragile shared prompt history.
How TekMemo Works
TekMemo gives AI apps, agents, copilots, and automation tools a managed memory layer. Store context, structure it into useful memory, index it for recall, retrieve only what matters, and sync it across the tools and environments your product uses.
1. Store
Capture useful context from conversations, tool calls, documents, events, user actions, and developer workflows.
2. Structure
Organize memory by workspace, project, user, session, source, and metadata so context stays understandable and reusable.
3. Index
TekMemo prepares memory for retrieval with chunking, embeddings, metadata, and searchable indexes behind a single API.
4. Recall
Retrieve the most relevant memory as clean context for agents, copilots, support bots, RAG apps, and AI workflows.
5. Sync
Use the same memory layer across Cloud, self-hosted servers, CLI tools, MCP servers, AI SDK workflows, and application backends.
Structured Memory Layers
TekMemo separates durable facts, long-form knowledge, retrieval indexes, and relationship data into clear memory layers. Your AI apps, agents, copilots, and workflows can recall the right context without relying on one overloaded prompt or one fragile vector store.
Core Memory
Stable facts, project decisions, user preferences, and durable rules your AI product can load by default without starting from zero.
Session & Event Memory
Short-term task context, conversations, tool calls, workflow events, errors, and outcomes captured as your system runs.
Archival Memory
Long-form notes, summaries, documents, retrospectives, and historical decisions stored without bloating the active context window.
Recall & Graph
Indexes and relationship data that help your app retrieve relevant context and understand links between users, projects, files, tools, and decisions.
$ docker pull tekmemo/self-host:latest
$ docker run -d -p 8787:8787 \
-e TEKMEMO_DATABASE_URL=postgres://... \
-e TEKMEMO_OBJECT_STORE=s3 \
tekmemo/self-host:latest
[INFO] Starting TekMemo self-host server
[INFO] Connected to Postgres memory store
[INFO] Using S3-compatible object storage
[INFO] API server listening on :8787Open Source Runtime
Run TekMemo in your own environment when you need local development, private infrastructure, or stricter data-control boundaries. The open-source runtime gives you the same memory API behind TekMemo Cloud, with a self-hosted Node.js server, Docker deployment, Postgres storage, and S3-compatible object storage.
View on GitHubSelf-Host When You Need Control.
Use Cloud When You Need Control and Speed.
TekMemo gives teams a flexible memory layer: run it yourself for private infrastructure, or use TekMemo Cloud for managed hosting, indexing, recall, and production operations.
| Capability | Self-Hosted Runtime | TekMemo Cloud |
|---|---|---|
| Deployment | Run in your own environment | Fully managed TekMemo-hosted service |
| Storage & Indexing | Postgres, pgvector, and S3-compatible storage | Managed memory storage, indexing, and recall pipeline |
| Operations | You manage upgrades, backups, scaling, and monitoring | TekMemo manages infrastructure, updates, and platform operations |
| Security Boundary | Your infrastructure, policies, and network controls | Tenant-scoped access, project isolation, API keys, and platform controls |
| Best For | Private deployments, custom infrastructure, and strict data-control needs | Fast product teams that want hosted memory without managing infrastructure |
Memory for AI Products, Agents, and Workflows
TekMemo gives AI apps, coding assistants, support bots, learning platforms, and internal tools a durable memory layer that survives beyond a single chat, session, workflow, or context window.
Autonomous Agents
Give agents durable memory across tasks. Store decisions, tool results, workflow state, and past actions so agents can continue work without stuffing every step into the context window.
Agent Workspaces
Use AgentFS to give agents a structured workspace for plans, task state, memory files, retrieved context, and durable execution notes.
Coding Assistants
Remember architecture decisions, repository conventions, preferred tools, dependencies, and developer preferences so users do not have to explain the same project context repeatedly.
Team Knowledge
Preserve architecture decisions, pull request context, debugging notes, deployment lessons, incident summaries, API assumptions, and project-specific conventions.
Support Bots
Maintain structured customer and ticket context over time. Summarize long histories into archival memory, then recall only the issues, decisions, and resolutions relevant to the current request.
Learning Apps
Track learner progress, mastered concepts, weak areas, and teaching preferences. Use memory to adapt explanations, practice paths, and review sessions over time.
Transparent Pricing
Pay only for what your agents remember and recall.
Developer
For trying hosted TekMemo
- 2,500/mo indexing ops/mo
- 25 MB MB storage
- Community support
- Hosted project memory
- Basic dashboard
Pro
For solo builders
- 25,000/mo indexing ops/mo
- 250 MB MB storage
- Email support
- Hosted sync
- History and restore workflow
Team
For startups and small teams
- 150,000/mo indexing ops/mo
- 2 GB MB storage
- Priority support
- Team members
- Shared projects
Business
For production teams
- 750,000/mo indexing ops/mo
- 10 GB MB storage
- Faster support
- Advanced history
- Advanced workspace controls
Enterprise
For larger teams that need custom limits, private guidance, security review, and dedicated support.
- SSO/SAML roadmap
- SLA
- Advanced audit exports roadmap
- Dedicated support
Power-ups & Add-ons
Indexing Pack
+$8/mo+25,000 indexing operations/month
Recall Pack
+$6/mo+25,000 recall queries/month
Storage Pack
+$10/mo+5 GB hosted memory and index storage
Extra Team Seat
+$8/mo+1 workspace member
Ready to scale your AI's memory?
Join the waitlist for early access to TekMemo Cloud. We're rolling out access in waves — get in line today.
Join the WaitlistBuilt for developer memory. Clear about sensitive data.
TekMemo Cloud helps teams capture, retrieve, and reuse engineering context across projects, agents, tools, and workflows. It is suitable for product knowledge, architecture decisions, coding context, team notes, and AI memory.
TekMemo Cloud is currently intended for non-sensitive developer and project memory. It is not intended for regulated sensitive data such as PHI, cardholder data, bank account data, clinical records, government IDs, payment credentials, secrets, or compliance-restricted customer data.
If your team works in fintech, healthcare, insurance, or another regulated field, use TekMemo Cloud only for non-sensitive project memory unless you have written approval under an enterprise agreement.
We are actively working on regulated-data support for TekMemo Enterprise, with stronger security controls, deployment review, data-governance workflows, and enterprise compliance support for teams that require stricter privacy, contractual, and operational safeguards.
Important Notice:
Do not store PHI, cardholder data, bank account data, clinical records, government IDs, payment credentials, secrets, or other regulated customer data in TekMemo Cloud unless you have written approval under an enterprise agreement.