v2.0 · Persistent runtime

Agents haveamnesia.We fix that.

CodeOrch is a persistent runtime for AI coding agents. Shared memory, a living knowledge graph, and orchestration that makes every task compound.

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RUNTIME operational
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§ 01  The manifestoThree convictions
01
Context should not evaporate. Every conversation, every decision, every PR should make the next task smarter, not the same task, retold.
02
Memory should compound. One query, one briefing.
03
Agents should share a brain. Claude, Cursor, Aider, different tools, same context. One discovery becomes everyone's context.
04
Teams shouldn't burn context. Every new doc, every new task without shared memory costs up to 100% token waste, starting from zero, every single time.
§ 02  The pipelineFrom task to PR

From idea to PR, fully wired.

An agent claims a task. The orchestrator synthesizes a 2–6k token briefing in ~2 seconds. The agent ships. The graph remembers.

01
Task created
A user, an agent, or an issue webhook drops a task into the queue.
postgres
02
Agent claims
Any MCP-compatible agent claims it: Claude Code, Cursor, Aider.
begin()
03
Briefing synthesized
Three parallel queries, relationships, semantics, decisions, collapse into 2–6k tokens.
~2 seconds
04
Agent ships
Surgical context in, code out. Pre-checks skip files that already exist.
finish()
05
Graph updated
The decision, the diff, the dependencies, all indexed for the next task.
+1 memory
§ 03  In your terminalMCP-native, 30s setup

It lives where your agents live.

Add the CodeOrch server to your .mcp.json, restart your agent, and the runtime is live. Below: a real claim → briefing → ship cycle.

~/projects/checkout-flow claude-code (mcp: codeorch)
§ 04  By the numbersProduction telemetry
70%
Median token savings per briefing vs raw codebase reads.
2.5M
Tasks orchestrated across customer fleets to date.
~2s
Average briefing assembly time across graph, relational, and vector stores.
24+
MCP tools shipped, with new capabilities every release.
§ 05  The differenceWithout vs With

Same task. Different runtime.

Token spend per task
Without
15k–30k rebuilding context from raw files. ~$2 per task.
With CodeOrch
70% less
Architectural decisions
Without
Lost in Slack threads. "Why JWT?" debated weekly.
With CodeOrch
Indexed
Multi-agent collisions
Without
Agent A overwrites Agent B's work. Merge conflicts.
With CodeOrch
File locks
Secrets & tokens
Without
PATs in env vars. JWTs in browser history.
With CodeOrch
Encrypted
Code review
Without
Engineers re-read every PR from scratch.
With CodeOrch
7 metrics
§ 06  PricingStart free, compound forever

Built to compound.

Every plan ships the full runtime. The only difference is scale.

Free
Perfect for getting started
Freeforever
  • 2 projects
  • 100 orchestrations/month
  • 2 team members
  • 1 GB storage
  • Rate limited
Get Started
MOST POPULAR
EARLY BIRD
Pro
For growing teams
$9/mo
  • 10 projects
  • 1,000 orchestrations/month
  • 10 team members
  • 10 GB storage
  • No API rate limits
  • Priority support
Start Now
EARLY BIRD
Business
For enterprises
$19/mo
  • 50 projects
  • 10,000 orchestrations/month
  • 50 team members
  • 100 GB storage
  • No API rate limits
  • Dedicated support
Upgrade Now
§ 07  FAQAnswered briefly

§ 07, FAQ

Questions,
answered.

If you need more depth, our docs cover every MCP tool in detail. Humans answer in under an hour.

BasicsToken SavingsSetupCompatibilityTeamsSecurityPricing

Still have questions?

Our team answers within the hour during business hours.

[email protected]

CodeOrch is a persistent runtime layer that sits between your team and your AI coding agents. It gives Claude Code, Cursor, Aider, and any MCP-compatible agent a shared memory, so every decision, every file touched, every architectural choice compounds into the next task instead of evaporating at session end.

§ 08  Get started5 minutes

Give your agents a memory.

Free tier. No card. Self-host or cloud. Five minutes to your first orchestrated task.