memco
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memcovsSentra

A company brain records organizational state.
Memco governs how engineering work becomes reusable learning.

Sentra unifies interactions, decisions and changing facts in a bi-temporal graph shared by people and agents, and it publicly positions Code Memory for coding tools. Memco is built around promoting corrections and outcomes from real engineering work into scoped lessons, then proving they improve another run.

Different person · Different session · Different tool · Reused lesson

Primary jobGoverned engineering learning from corrections and outcomes
Core objectA scoped lesson with source, review and later-use evidence
ProofA lesson from one run improves another person’s later task

Fewer repeated mistakes

Later agents receive the known constraint before they repeat a failed approach.

Less senior re-explanation

Corrections stop dying in review comments, chat threads and one engineer’s memory.

Cross-tool continuity

The lesson survives when the team moves between Claude Code, Cursor, Codex, Copilot or internal agents, subject to actual integration support.

Customer-owned learning

The organization keeps the lesson, source and scope rather than renting the same rediscovery from each model or tool.

01Honest overlap

Where the products genuinely overlap.

This is a direct comparison. Memco cannot win by pretending the overlap is absent — the buying criterion has to be correction-driven promotion and cross-person outcome proof.

  • 01Both products claim shared memory across people, agents and tools.
  • 02Both claim provenance and temporal evolution for what they store.
  • 03Both claim enterprise deployment.
  • 04Sentra also publicly claims Code Memory for coding tools, served over MCP — so this is not a company-brain-versus-coding-memory split.

02Where each product starts

Different centers of gravity.

Sentra’s center of gravity is an organization-wide semantic and temporal context graph. Memco’s is the governed, outcome-backed learning loop for agentic engineering teams.

Sentra · Bi-temporal company context graph

Provide one queryable company graph across interactions, decisions, evidence, tools and agents, including codebase context.

  • Primary inputs: meetings, messages, documents, tickets, code, CRM data, decisions and agent traces.
  • Outcome: people and agents share current, cited organizational context and codebase state.

Memco · Correction-to-lesson learning loop

Convert real agent work into reviewed, scoped and reusable team lessons.

  • Primary inputs: agent attempts, human corrections, failed paths, tests, review decisions, accepted fixes and downstream outcomes, according to released integration behavior.
  • Outcome: a correction-backed engineering lesson is reviewed, scoped and shown to improve a later task.
  • Every lesson carries its source, scope, review state and later outcome from Agent A’s run into Agent B’s.

03The visual argument

Shared company context, or governed promotion of the lesson that changed the work?

Both loops are real. Sentra resolves interactions into a queryable company graph at write time. Memco promotes a correction into a governed lesson — and the loop only closes when a later outcome comes back.

Sentra · shared company context
Interactions and connected toolsmeetings · messages · code · agent traces
Write-time semantic resolution
Bi-temporal company graphcurrent + historical validity
People and agents query over REST / MCP
Memco · governed lesson promotion
Agent attempt
Correction / test / review outcome
Candidate lesson with source
Review and scope
Later person or agent reuses itdifferent person · session · tool
↺ new outcome updates confidence

Sentra serves resolved context. Memco closes the loop — reuse feeds the lesson’s confidence.

04The same week, replayed

One payment-retry bug. Two product jobs.

Illustrative engineering workflow, not customer evidence: the same payment-retry scenario runs on every comparison page, so what differs is the product job — not the anecdote.

  1. 01Agent A · Cursorpayment-retry taskcalls a helper that was retired last quarter
  2. 02Failed testci · redthe dead end costs the run its first hour
  3. 03Senior correctionreview + passing PRthe durable fact: which path works now, and why
  4. 04Scoped reviewed lessonteam scope · provenance keptsource, reviewer, scope and outcome attached
  5. 05Agent B · Claude Codenext week · different personstarts ahead of the dead end
What they can represent

Sentra can represent the current and deprecated helper patterns, retain the temporal history and make the resolved codebase context available over MCP.

What Memco makes of it

Memco centers the candidate lesson on the failed run, human correction and passing test, then tracks review, scope and whether another engineer’s later task improved.LESSON MEM-4821 ACTION use retry_payment_v2 AVOID legacy_retry SCOPE payments-service / Payments team SOURCE corrected PR + passing integration test STATE reviewed PROOF later task avoided the retired helperIllustrative payload — not a live customer record

05Practical comparison

Dimension by dimension, in words.

Rows, not scoreboards: each dimension states what each product actually does, so the difference survives scrutiny.

DimensionSentraMemco
Primary jobOne company context graph for people and agentsGoverned engineering learning from corrections and outcomes
Core objectFactual, action and interaction memory in a bi-temporal graphA scoped lesson with source, review and later-use evidence
Engineering inputCodebase state, decisions, deprecations and connected agent accessAgent attempts, reviewer corrections, failures, accepted fixes and outcomes
Temporal modelFacts retain current and historical validityLessons can be corrected, superseded or retired as outcomes change
ProofCorrect current context with provenance and temporal historyA lesson from one run improves another person’s later task
Best fitBroad company-memory and context-graph programsEngineering teams operationalizing a correction-driven learning loop

06Choose honestly

Two good answers to two different questions.

Choose Sentra if

  • A broad company brain across meetings, messages, tools and agents is the main buying job.
  • Bi-temporal organizational facts and write-time semantic resolution are central requirements.
  • Leadership and agents need one graph for company context and commitments.
  • Code Memory is being evaluated as part of that wider company-memory platform.

Choose Memco if

  • A lesson from one person’s agent should improve a later task for another person or tool.
  • Corrections, failed paths and accepted outcomes keep getting rediscovered.
  • Shared learning needs source, scope, review and a path to correction or retirement.
  • The organization wants its learning to survive model, IDE and agent-platform changes.

07Proof, not vibes

The reuse test.

Do not stop at “the agent remembered.” Sentra asks: did the company graph return the correct current state, cited evidence and relevant codebase context? Memco asks: did a source-backed lesson from one run improve a later task for another person, agent, session or tool — without violating scope?

01Pick one repository and one repeated failure, correction or convention.
02Record the baseline behavior without the shared lesson.
03Let Agent A hit the problem and capture the source-backed correction.
04Review and scope the candidate lesson using the product states actually available.
05Give Agent B a related task in another session or tool.
06Measure repeated-error rate, completion, agent steps, review corrections and source/scope integrity.
07Record whether the lesson helped, conflicted or should be corrected or retired.

A signup is not activation. Activation is a lesson contributed from one task and correctly reused on a later task.

Run the reuse testRead the research

08Enterprise confidence

Governed by construction.

Shared memory becomes infrastructure. Treat it like infrastructure. Private company memory stays inside your organisation — there is no public pool for it to reach.

Identity and accessSource, provenance and review historyTeam, repository and customer boundaries · controlled inheritanceRetention, deletion, deployment and residency

09Questions

What evaluating teams ask.

Source ledger

Statements about Sentra are drawn from its official documentation and site, reviewed on 2026-07-30. Products change — if anything here is out of date, tell us and we will correct it.

Other comparisonsZepOnyxAll comparisons

Test whether one lesson can improve the next run.

the loop

benchmarks · product · research

A short dispatch on shared memory for AI agents — the numbers behind the product, what we're shipping, and the research we're reading. No filler.

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