Posture
Model · IDE · agent-stack agnostic
For CIOs, CTOs & AI transformation leads
Build the memory layer for the agentic enterprise.
Enterprises are deploying agents across engineering, support, finance, data, security, and operations. Memco captures what those agents learn, curates what matters, and gives future agents the shortcut your organization already paid to discover.
Deployment
SaaS · VPC · on-prem
Governance
SOC 2 · GDPR-ready · audit trail
01The problem
Enterprise AI does not compound by default.
Agents are starting to do real work inside enterprises — writing code, reviewing PRs, answering tickets, querying data, investigating incidents, and automating internal workflows. But most of what they learn disappears: the session ends, the context vanishes, the next agent starts cold. The agent may look smarter. The company does not.
Without Memco
Learning stays trapped.
- Agents start cold on every task
- Teams repeat fixes already paid for
- Stale docs and Slack threads mislead agents
- Vendor memory stays locked in one product
- Context gets reloaded into every session
- AI usage is hard to govern across teams
- No durable organizational asset ever forms
With Memco
Useful work becomes memory.
- Agents reuse proven lessons across teams
- Stale knowledge decays before it misleads
- Memory is scoped, permissioned, and auditable
- Teams reduce repeated context loading
- Learning survives models, tools, and people
- Governance is built into the layer, not bolted on
- The organization gets smarter over time
02Why enterprise AI is hard
The hard part is not only intelligence
The hard part is organizational memory.
Enterprises are full of things models cannot infer from the prompt: permissions, entitlements, legacy systems, workflow exceptions, stale data, undocumented handoffs, compliance boundaries, approval paths, and team-specific conventions. Every rollout becomes a teaching process. The expensive question is whether that teaching compounds — or every team, vendor, and agent has to rediscover the same constraints.
01 · Illegibility, not intelligence
Models can't infer your org.
Permissions, legacy systems, undocumented handoffs, and team conventions are invisible to the prompt. Every agent rediscovers them, painfully, alone.
02 · The stack keeps changing
You won't standardize.
Enterprises will run Claude, GPT, Gemini, Llama, Qwen, Cursor, Copilot, MCP, and internal agents in parallel. Memory tied to one product becomes the next migration tax.
03 · Services don't compound
Implementation is not the asset.
Consultants and FDEs get agents deployed. Memory is what makes deployment compound. The lesson outlives the engagement only if something captures it.
Services get agents deployed.
Memory makes deployment compound.
03Memco's role
From agent run to reusable memory
Turn agent work into reusable organizational memory.
Memco sits beneath your agent stack. It captures the useful traces of real work, promotes what should be remembered, decays what goes stale, and serves trusted memory back to future agents when it matters. Not another chatbot, IDE, or platform — the compounding layer underneath them.
01
Agents work
Use the tools your teams already use: Claude, GPT, Cursor, Copilot, Claude Code, MCP agents, internal agents, CI, tickets, docs, and databases. No workflow change.
02
Memco captures
Fixes, failed paths, decisions, human corrections, repo conventions, workflow exceptions, and outcomes become candidate memory — with full provenance.
03
Memory is curated
Memco deduplicates, scopes, scores, decays, permissions, and preserves provenance around what should survive. No taxonomies; signal emerges from use.
04
Future agents start ahead
The next relevant agent gets the lesson before it burns tokens and time rediscovering it. Knowledge survives sessions, models, and people.
The result: less repeated context, fewer dead ends, lower token spend, and an organizational memory asset that improves with every run.
04Where enterprise memory compounds first
Six departments. One memory layer.
Repeating patterns across teams. Compounding lessons across every run.
CASE 01
Engineering agents.
What agents do
Write code, fix bugs, review pull requests, generate tests, investigate CI failures, and navigate large codebases.
What Memco remembers
Repo conventions, failed paths, flaky tests, approved fixes, security review patterns, architecture decisions, and human corrections.
ENGDEVEXPLATFORM
CASE 02
Customer service agents.
What agents do
Triage tickets, draft replies, resolve known issues, escalate edge cases, and support human agents on the queue.
What Memco remembers
Resolved ticket patterns, escalation logic, product quirks, policy boundaries, customer-specific exceptions, and QA feedback.
CXSUPPORTQA
CASE 03
Finance & data agents.
What agents do
Query databases, explain metrics, automate reporting, process invoices, reconcile data, and support analysis.
What Memco remembers
Metric definitions, SQL quirks, trusted tables, bad fields to avoid, ERP exceptions, approval rules, and prior analysis decisions.
FINANCEDATAFP&A
CASE 04
Security & compliance agents.
What agents do
Review code, inspect access patterns, check policies, prepare evidence, and flag risks before release.
What Memco remembers
Known vulnerabilities, approved remediations, false positives, policy interpretations, audit evidence paths, and control-specific context.
APPSECGRCAUDIT
CASE 05
Operations & IT agents.
What agents do
Automate internal workflows, investigate incidents, manage access, resolve systems issues, and coordinate handoffs.
What Memco remembers
Runbook corrections, incident lessons, access exceptions, system dependencies, recovery paths, and handoff rules.
OPSITSRE
CASE 06
Sales, legal & document agents.
What agents do
Generate SOWs, draft proposals, review contracts, summarize meetings, and prepare customer-specific documents.
What Memco remembers
Clause preferences, approval paths, pricing exceptions, customer context, redlines, and prior negotiation lessons.
SALESLEGALREVOPS
05Model & tool agnostic
Your memory should outlive every model and tool.
Enterprises will not standardize on one model, one IDE, one vendor, or one agent framework. They will use Claude, GPT, Gemini, Llama, Qwen, Cursor, Copilot, internal agents, MCP tools, and whatever comes next. That makes memory too important to trap inside one product. Memco keeps organizational learning portable across the stack — the layer underneath can change. The memory remains yours.
Vendor memory helps inside one product.
Organizational memory has to survive across products.
01Model agnostic
02Tool agnostic
03IDE agnostic
04Agent-framework neutral
05MCP native
06Portable memory format
07Provenance preserved
08Permissioned sharing
09Private deployment
06Commercial proof
What comes out the other side
Save tokens.
Reduce rework. Make agent outcomes predictable.
~50%
Fewer tokens per task · same model
48%
Faster task completion · agent runs
50%
Lower cost per task · model + infra
98%
Recommendation hit rate · trusted memory served
Benchmarks: SWE-Bench variant · DS-1000 · Spark teams benchmarks · arXiv 2511.08301. Actual savings depend on usage, workflow repeatability, rollout scope, and agent stack.
07Security & control
Enterprise memory, without giving up control.
Shared memory only works if enterprises can govern it. Memco gives teams control over what becomes memory, who can reuse it, where it can run, and when it should decay. Useful memory compounds. Sensitive memory stays inside the right boundary. Stale memory fades before it misleads future agents.
◐
Private memory pools
Per-team, per-repo, per-org, or per-deployment. Sharing across boundaries is opt-in and explicit.
⌐
Permissioned sharing
RBAC down to a memory entry. Promote, scope, or revoke knowledge as a normal control-plane action.
⟶
Provenance
Every memory traces back to the run, agent, repo, and human correction that produced it.
≉
Decay
Stale conventions, outdated fixes, and obsolete decisions lose weight — before they mislead.
≡
Audit trail
Every read, write, promotion, and revocation is logged and exportable for compliance.
SOC
SOC 2 — in progress
Type II program underway. Customer-facing controls available to design partners now.
⌂
On-prem & VPC
Deploy inside your VPC or on-prem. The memory layer never leaves the boundary you set.
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Your code stays yours
Memco doesn't train on your code, prompts, or completions. Memory belongs to the tenant — period.
08What changes with Memco
Same agents. Same tools. A company that learns.
Memco doesn't ask teams to rip out their agent stack. It changes what happens after useful work is done. Without Memco, the lesson dies with the session. With Memco, the lesson becomes part of the organization.
Before
The lesson dies with the session.
- One agent solves a problem
- The session ends
- The next agent starts cold
- The same fix is rediscovered a third time
After
The lesson becomes organizational.
- One agent solves a problem
- Memco captures the useful lesson
- The next relevant agent starts ahead
- Knowledge compounds across teams and tools
Context is rented.
Memory is owned.
Begin the conversation
Turn enterprise agent work into memory your company can reuse.
If your teams are already deploying agents, the learning is already happening. The question is whether that learning becomes a governed asset — or disappears after every run. Start with one team, one workflow, and one success metric. Expand as memory compounds.