Use cases · the runtime in practice

Built for the way
you actually ship.

From a solo dev juggling three agents to a platform team automating issue-to-PR, CodeOrch's shared memory changes what your agents can actually do. Here's where it earns its keep.

§ 01Multi-agent teams

Four agents, one brain.

Claude Code, Cursor, Aider different tools, one shared memory. A discovery from one agent becomes context for all of them.

  • Atomic task claims
  • Cross-tool file locks
  • Discoveries flow to the graph
Without CodeOrch

Agent A overwrites Agent B's work. Every tool re-learns the repo from scratch. Merge conflicts pile up as agents step on each other.

With CodeOrch

Task claims are atomic and file locks are injected into every briefing. A JWT bug Claude finds shows up in Cursor's next claim they work in parallel, collision-free.

near-zero agent merge collisions
§ 02Large codebases

Onboard an agent to a 2M-line repo in seconds.

New repo, new agent, zero ramp-up. The orchestrator hands it exactly the files, relationships, and decisions that matter.

  • Graph-ranked file selection
  • Semantic recall of past work
  • Pre-checks skip unchanged files
Without CodeOrch

The agent reads 28k tokens of raw files to reconstruct context and still misses the dependency three hops away that actually breaks the build.

With CodeOrch

Three parallel queries (graph, vector, decisions) collapse into a 2–6k token briefing in ~2 seconds. Ranked, deduplicated, relationship-aware.

70% fewer tokens per task
§ 03Issue → PR automation

From a GitHub issue to a reviewed PR, hands-off.

Wire a webhook and let the pipeline run: claim, brief, ship, grade, open the PR before a human ever looks.

  • Webhook-triggered tasks
  • 7-metric review gate
  • Auto-PR on pass
Without CodeOrch

Someone triages the issue, re-explains the codebase to an agent, babysits the diff, then reviews a PR from scratch.

With CodeOrch

Webhook drops the task → an agent claims it → a briefing synthesizes in ~2s → the diff ships → a 7-metric review gate grades it A–D → a PR opens automatically.

auto-graded A–D before review
§ 04Legacy & brownfield

Stop re-litigating “why JWT?”

Every architectural decision is captured the moment it's made and re-injected the next time a task touches that code.

  • Decision capture at write-time
  • Re-injected with related tasks
  • Dead-code detection
Without CodeOrch

The reasoning lives in a Slack thread from eight months ago. The agent (and the new hire) confidently rewrites it the wrong way.

With CodeOrch

Decisions are pinned to the nodes they touch searchable, queryable, re-surfaced with related tasks. Dead-code detection flags what's safe to remove.

decisions indexed, not lost
§ 05Solo & indie devs

Your context follows you across tools.

Switch from Claude to Cursor mid-task without re-explaining a thing. Every session compounds into the next.

  • Cross-tool memory
  • Sessions compound
  • 30-second setup
Without CodeOrch

You re-paste your schema, your conventions, your auth flow every time you open a different tool. Context evaporates at session end.

With CodeOrch

One persistent runtime backs every agent you use. Yesterday's work is today's context no re-explaining, no copy-paste rituals.

$9/mo · 1,000 orchestrations
§ 06Enterprise & compliance

Memory you can audit.

Persistent context without persistent risk. Encrypted secrets, an append-only trail, and no source code at rest.

  • Fernet + KMS at rest
  • Append-only audit log
  • SSO + role-based access
Without CodeOrch

PATs in env vars, JWTs in browser history, and no record of which agent changed what, when, or why.

With CodeOrch

GitHub tokens are Fernet-encrypted with KMS-versioned keys. Every mutation is audit-logged. SSO-ready. We index relationships and embeddings never your raw code.

encrypted · audited · no code at rest
§ 07  Works with your agentsMCP-native

If it speaks MCP, it works.

Claude Code
first-class
Cursor
first-class
Aider
first-class
Opencode
tested config
Any MCP agent
stdio or SSE
§ 08  Get started5 minutes

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