RADLAB LLC Multi-Agent Memory Federation Rollout (7-10 days)
A delivery playbook for standing up Bourdon as a self-hosted memory federation layer across a client's Claude, Codex, Cursor, and Copilot fleet, then handing over a governed, per-tenant knowledge graph the agency can operate on retainer. Time: 7-10 days.
By InnovaAI ResearchPublished
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RADLAB LLC Multi-Agent Memory Federation Rollout (7-10 days)
A delivery playbook for standing up Bourdon as a self-hosted memory federation layer across a client's Claude, Codex, Cursor, and Copilot fleet, then handing over a governed, per-tenant knowledge graph the agency can operate on retainer.
- Client runs at least two of the supported agents (Claude, Codex, Cursor, Copilot, Devin, Gemini, Hermes, GitLab) so federation delivers value over a single-tool setup
- Agency has infrastructure to host the Bourdon runtime, or has chosen the Hosted Managed plan at $12 USD per seat monthly
- Named client-side owner for agent tooling who can approve MCP config changes and per-agent token issuance
- Inventory of the client's existing business context, SOPs, and FAQs to seed the knowledge graph
- Agreed trust-tier policy: which agents and which client accounts can read versus write shared memory
- 1.Kickoff with client engineering to map every agent surface in scope (Claude Code, Codex, Cursor, Copilot, Devin, Gemini, Hermes, GitLab)
- 2.Decide self-host versus Hosted Managed at $12 USD per seat monthly based on client data-residency posture
- 3.Collect the SOPs, FAQs, and core business context that will seed the first knowledge graph
- 1.Complete RADLAB LLC self-hosted runtime setup on agency or client infrastructure, or provision the managed tenant
- 2.Configure per-agent tokens so each agent identity is individually revocable
- 3.Draft trust tiers separating read-only agents from agents permitted to write memory
- 1.Install the adapter for the client's primary agent and point its MCP config at the running Bourdon server
- 2.Confirm the agent connects and issues its first recognition query against the empty graph
- 3.Log baseline recall behavior before memory is populated for later comparison
- 1.Load the client's core business context, FAQs, and SOPs into the per-tenant knowledge graph
- 2.Verify graph relationships resolve correctly across entities the client cares about
- 3.Set retention and backup expectations against the chosen hosting model
- 1.Connect the second and third agents and validate cross-agent recognition: a fact written by one is recognized by another
- 2.Test the recognition-first path to confirm agents respond immediately while details hydrate in the background
- 3.Document any adapter-specific quirks per agent for the client's runbook
- 1.Wire memory recall into one live client workflow, either internal or client-facing
- 2.Run a real task end to end and record where recall changed the agent's output
- 3.Tune trust tiers based on what the live workflow actually needed
- 1.Stress the federation with concurrent agents across separate accounts and machines
- 2.Confirm per-tenant isolation holds so one client's memory cannot leak into another tenant
- 3.Capture latency observations for the handover report
- 1.Write the operations runbook covering token rotation, trust-tier changes, and adapter updates
- 2.Train the client owner on adding new agents to the federation without agency involvement
- 3.Agree the retainer scope for ongoing graph curation and agent onboarding
- 1.Present the handover report with before-and-after recall behavior and the connected agent inventory
- 2.Walk through the escalation path for memory conflicts between agents
- 3.Close out with the client's sign-off on the definition of done
A single Hosted Managed seat runs $12 USD monthly, so a five-seat client fleet costs the agency $60 USD per month against a rollout fee in the $1,800 to $4,500 range. The margin sits in the setup and the ongoing graph curation retainer, not in reselling seats, which is why the offer should be priced as infrastructure delivery rather than a per-seat markup. Clients running three or more agents absorb the fee easily because the alternative is re-briefing each agent by hand on every project.
- Bourdon runtime deployed on client or agency infrastructure with per-agent tokens and trust tiers configured
- Per-tenant knowledge graph seeded with the client's business context, FAQs, and SOPs
- Connected agent inventory listing every adapter installed and its MCP config entry
- Cross-agent recognition test log showing a fact written by one agent recognized by another
- Operations runbook covering token rotation, trust-tier changes, adapter updates, and new-agent onboarding
A fact written by one connected agent is recognized by a second agent on a different account or machine within the client's live workflow, with per-tenant isolation verified and the runbook signed off by the client owner.
More on RADLAB LLC
- StrategyWhy RADLAB LLC Bourdon Turns Agent Fleets Into Retainer Infrastructure
- ConceptRADLAB LLC Seat Economics Threshold
- Evaluation RuleRADLAB LLC Rule: Self-Host Bourdon Before You Resell It to Any Client
- Decision FrameworkRADLAB LLC: Buy vs Skip (Multi-Agent Memory Federation)
- Failure PatternThe RADLAB LLC Flat Trust Tier Trap: Why Agencies Fail With Bourdon in Multi-Client Agent Fleets
- Operating ProcedureRADLAB LLC Agent Fleet Memory Federation Rollout (Onboarding)