TL;DR in plain English
- Reference MCP (repo: https://github.com/kuberwastaken/reference) is an open-source utility that lets one AI agent search or reference another agent's past sessions. The repo description says: "Let your AI agents search each other's past sessions."
- Why it matters: agents can reuse prior decisions and rationale instead of re-generating the same analysis. That saves time and reduces repeated human handoffs.
- Watchouts: session archives may contain secrets or personal data. Do not enable broad access until you set retention, access controls, and redaction.
- Quick pilot (30–120 minutes): clone the repo, run the demo locally, create ~10–100 sandbox sessions, enable read-only session indexing, and run one test query.
Concrete quick example (one line): a deployment agent queries last week’s code-review agent session to fetch the exact reasoning that blocked a risky API change, rather than re-running the review.
Plain-language explanation before advanced details
This repository is a code artifact you run yourself. It gives agents a way to look up prior conversations identified by a session id, agent id, timestamp, and stored payload. That makes agent decisions auditable and repeatable. But an indexed archive increases operational risk if secrets or personal data end up in the store. The rest of this article gives practical, conservative defaults and a short pilot checklist so small teams can try it safely. See the repo at https://github.com/kuberwastaken/reference.
What changed
- A contributor published an open-source repository called Reference MCP at https://github.com/kuberwastaken/reference. The repo implements a pattern for letting agents search each other’s past sessions.
- This is a runnable code artifact, not a hosted product. You deploy and configure it yourself.
- Practically, the repo adds an indexed archive pattern: sessions are stored, indexed (session_id, agent_id, timestamp, payload), and queryable by other agents. That lets an agent return concrete prior exchanges as evidence for decisions instead of producing only new text.
Key takeaways:
- It’s an indexed archive for agent sessions.
- You control retention, indexing, and access by how you deploy and configure it.
- The repository README is the starting point for the demo: https://github.com/kuberwastaken/reference.
Why this matters (for real teams)
- Fewer repeated clarifications. Agents can pull exact prior exchanges. That reduces wasted cycles and fewer human clarifications during triage.
- Better provenance. A stored session id and exchange makes it easier to reconstruct why a decision was made. This helps post-mortems and audits.
- Faster multi-agent flows. When a downstream agent needs context, a programmatic session query can be faster than re-running a long analysis. A reasonable pilot goal is <200 ms query latency for a local indexed store.
- Increased operational risk. A shared session store raises the blast radius if secrets or personal data (PII) are present. Plan automated redaction and retention rules before broad rollout.
Suggested policy artifacts to prepare:
- Role-to-retention mapping (examples below).
- Start with 3 core policies: retention, read/write roles, redaction rules.
- Acceptance thresholds for pilot tests (engineering goals): <=0.5% of sessions contain secret tokens after automated redaction; <=1% contain identifiable PII in a sandbox scan.
Repo reference: https://github.com/kuberwastaken/reference
Concrete example: what this looks like in practice
Scenario: a weekly code-review agent flagged a risky API change last week. A deployment agent needs to decide whether to block or proceed.
Step-by-step (concrete):
- The code-review agent produced session S-20260620-42 with an exchange that included a reviewer note and a diff snippet.
- The session was indexed with metadata: { session_id: "S-20260620-42", agent_id: "code-review-agent", timestamp: "2026-06-20T11:12:00Z", intent: "security-review" }.
- The deployment agent queries the index for recent security-review sessions related to the changed files and receives S-20260620-42; it shows the exact snippet and the rationale.
- The deployment agent enforces a rollout gate configured as: { session_access: "read-only", max_age_days: 30, require_ack: true } before permitting rollout.
Observable outcome: the pipeline stalls for a human acknowledgement only when the session is recent and contains a security flag. Teams get fewer false positives, fewer repeated scans, and a direct trace link (session_id) saved in the issue tracker.
Suggested technical knobs (concrete numbers):
- Pilot max_age_days: 30 days.
- Wider rollout retention: 90 days (non-PII archives only, after acceptance tests).
- Pilot dataset size: 10–100 sessions.
- Demo set-up time: ~30 minutes; exercise time: 2–4 hours for realistic scenarios.
Repository to inspect: https://github.com/kuberwastaken/reference
What small teams and solo founders should do now
Fast path plan:
- Clone the repo and read the README: https://github.com/kuberwastaken/reference.
- Run the local demo with a sandbox dataset (10–100 sessions) — ~30–60 minutes.
- Add a pilot rollout gate (feature flag) that restricts session-search to a small team (for example, 3 users / 2 agents) for the first 30 days.
Minimum policy to draft (three items):
- Retention window (pilot = 30 days; pilot-to-prod plan: 90 days).
- Roles and ACLs (who can read/write; default: read-only for downstream agents).
- Redaction rule (automated replacement of tokens that match common secret regexes; remove lines matching credit-card patterns).
Risks-to-metric checklist (pick measurable acceptance):
- Secret leakage rate after redaction <= 0.5% across pilot sessions.
- PII positives <= 1% across pilot sessions.
Operational tips for small teams:
- Run the demo on a single small VM or container to keep costs low.
- Limit indexed sessions to <=10,000 items in pilot; start with 10–100.
- Aim for index query time <200 ms for an in-cluster service. If >500 ms, add caching or reduce returned payload size.
Repo reference: https://github.com/kuberwastaken/reference
Regional lens (UK)
Note: the repository is an implementation artifact: https://github.com/kuberwastaken/reference. This section gives conservative operational defaults for a UK pilot. Legal and regulatory obligations are discussed as assumptions in the Technical notes below and should be validated with counsel.
Practical UK defaults (recommended, conservative):
- Default pilot retention: 30 days.
- Pseudonymise session content where feasible (replace user identifiers with stable pseudonyms).
- Limit production rollout until you can demonstrate <=1% of sessions contain PII after automated redaction.
Operational checklist for a UK pilot:
- Start with pseudonymisation and short retention (30 days).
- Keep an internal log that documents purpose and controllers (record of processing activity).
- Run a sandbox scan for PII on an initial sample of 100 sessions.
Implementation repo: https://github.com/kuberwastaken/reference
US, UK, FR comparison
This table gives suggested operational defaults for pilot retention and minimal controls. Legal specifics must be verified with counsel; see Assumptions / Hypotheses below.
| Region | Suggested max_retention_days (pilot) | Required technical controls (minimum) | |---|---:|---| | US (general) | 30 days | ACLs, redaction, deletion API | | UK (conservative pilot) | 30 days | Pseudonymisation, documented purpose, ACLs | | FR (conservative) | 30 days | Strong minimisation, explicit consent for production-like data |
Notes:
- These are conservative operational defaults to reduce blast radius during pilot. Only increase retention (for example, 30 → 90 days) after passing acceptance tests.
- Sample sizes for testing: 100 sessions for one-off audits; scale to 1,000+ when moving to a broader pilot.
Source code and starting point: https://github.com/kuberwastaken/reference
Technical notes + this-week checklist
Assumptions / Hypotheses
- The repository (https://github.com/kuberwastaken/reference) implements an agent session index pattern: sessions are stored, indexed, and queryable by other agents. The repo text explicitly states this intent: "Let your AI agents search each other's past sessions." Use that as the core technical assumption.
- Any legal obligations (UK GDPR, CNIL guidance, US state laws) are jurisdictional and must be validated with counsel. The regional recommendations above are operational defaults, not legal advice.
- Performance targets (for example, <200 ms query latency, <=0.5% secret leakage) are engineering goals for pilots, not properties guaranteed by the repository.
Risks / Mitigations
Risks:
- Secret leakage (tokens, API keys) stored in sessions.
- Over-retention of PII or debug logs.
- Agents citing incorrect prior conclusions (propagating errors).
Mitigations:
- Automated redaction using regex rules for common tokens; run an initial sweep that targets known token patterns and credit-card regexes.
- Retention enforcement: implement a TTL job that deletes records older than the configured max_retention_days (for example, 30 or 90 days).
- Role-based access control: default downstream agents to read-only; require explicit write grants for session-producing agents.
- Acceptance testing thresholds: secret leakage <=0.5% and PII <=1% in the pilot sample.
Next steps
Immediate this-week checklist (estimated times):
- [ ] Clone the repo and review README: git clone https://github.com/kuberwastaken/reference — 15–30 minutes.
- [ ] Run the local demo and create 10–100 sample sessions — 30–60 minutes.
- [ ] Add a rollout gate (feature flag) to enable session-search for a 3-person pilot — 15 minutes.
- [ ] Implement automated redaction rules and run a scan across pilot sessions; measure secret leakage rate — 1–2 hours.
- [ ] Configure retention TTL (start with 30 days) and a deletion job; test deletion on a 100-session dataset — 1 hour.
- [ ] Record one trace (session_id) per agent decision and store the link in your issue tracker; validate you can replay the session in <200 ms — 1–2 hours.
Optional technical notes:
- Index schema should include provenance fields: session_id, agent_id, timestamp (ISO8601), intent, and a small payload summary. Keep full payloads encrypted at rest.
- For agents with token constraints, limit returned payload to ~8,000 tokens or smaller; return a short summary plus a link to the archived full exchange.
- Start small: 10–100 sessions for an exploratory pilot, and scale only after passing leakage thresholds.
Repository reminder: https://github.com/kuberwastaken/reference
Methodology note: this article summarizes the repository's intent and gives conservative operational defaults. Legal/regulatory statements are hypotheses and must be validated with counsel before production use.