The trust boundary
every agent
reports into.
Multisynapse is the governance and observability layer that sits between your agent runtimes and the rest of your stack. Agents register here, get evaluated here, get promoted here, talk to external services through here, and leave an audit trail here.
The agent runtime is somebody else's job. Multisynapse is the platform every runtime reports into. Built on A2A, OpenTelemetry GenAI, and MCP, the standards your agents already speak.
Inside Multisynapse
Screens from a demo workspace. Every number on them was observed by the platform, not typed into it.
One place every runtime reports into
System health, registered agents, trace volume, experiments, and spend on a single screen. Trends break inference cost, error rate, and latency down by agent and by model, so a drift shows up before a bill does.
Every model call, costed from real tokens
Cost is computed from observed token usage and model prices, never estimated. Roll it up by agent, project, or organization over a day, a week, or a month, and set monthly budgets for alerting.
Default-deny, written as code
Every write, ingest, and eval run is evaluated against an OPA Rego bundle. A request is forbidden unless an enabled policy explicitly allows it. Policies hot-reload on save, and each one can be switched off without touching the others.
NIST AI RMF posture, frozen and signed
Automated checks and human attestations roll up into a posture score per function. Each snapshot freezes that posture at a point in time, verifies the audit chain, and exports as a report or an evidence bundle an auditor can check offline. Scheduled weekly, or on demand.
What Multisynapse provides
Versioned, eval-gated agent cards
Every agent registers an A2A Agent Card. Each upsert creates an immutable snapshot. Promotion flips the active version only after the eval gate passes: regression check, cost p95 cap, and no self-approval.
Native GenAI telemetry
Point any OpenTelemetry SDK at Multisynapse and every prompt, tool call, and token spend lands in a structured trace tree. Search inside a trace, watch new traces arrive in a live tail, describe a filter in plain English, and save the views you use. Cost rollups and budgets are derived from real observations, not estimates.
One policy surface for all tools
Claude, Cursor, Cline, and Claude.ai clients add Multisynapse as a single MCP server. Upstream integrations, including GitHub, Slack, Google Drive, and Salesforce, are aggregated, namespaced, and individually kill-switchable.
Every model call, costed and capped
Point your app at a drop-in OpenAI- or Anthropic-compatible endpoint. Each call lands as a trace, is costed from real token usage, and is held to per-tenant budgets and kill-switches. Bring your own key, with automatic failover.
Frozen golden sets, forking scorers
Score with LLM judges, classifiers, exact and semantic matchers, or your own sandboxed code. Grading surfaces freeze on first claim. Edits fork rather than mutate, so past experiments stay reproducible. LLM judges can abstain on cases they cannot fairly score. Head-to-head comparison uses true pairwise judgment, with win rates and confidence intervals surfaced where the promote-or-don't decision is made. Tournaments run N-way variant races, and the champion becomes a proposal, never a silent promotion.
Test before you ship
Run prompts, models, and registered agents side by side against your datasets, scored live as results stream in. Promote a promising run straight into a tracked experiment: same eval gate, no copy-paste.
See what an agent will do before it does it
Run any agent with every tool call simulated. The reasoning executes and the intended actions are recorded, but nothing touches a real system. Preview a browser or integration agent end to end with zero side effects.
Self-modification in infrastructure, not policy
Agents propose changes to their own prompts, skills, and code artifacts through MCP tools. The platform holds the gate. No self-approval. Stale-but-passing verdicts are rejected at approve time. Kill-switchable per agent.
Hash-chained log, default-deny OPA
Every write, eval run, and tool invocation flows through OPA Rego. Audit rows are hash-chained per org and project: tamper-evidence you can verify with a single API call. Role split available for true authority separation. Audit history has a hard seven-year floor; everything else follows retention policies you set, and absent a policy nothing is deleted.
NIST AI RMF posture, backed by evidence
Automated checks run against your live platform and map to NIST AI RMF 1.0, with ISO/IEC 42001 alignment. Controls, attestations, findings, and reports live in one place. Posture snapshots freeze the state at a point in time, signed when a key is configured and anchored into the audit log. Statuses describe alignment posture, not a certification.
Judgment as a record, not a margin note
When a person overrides a score, that is an event of record with full provenance: who scored what, and when. Overrides can be deliberately undone, with the undo itself on the record. Review campaigns show per-item assignment, so who is looking at a case is a query, not a thread.
Notifications that respect the read policy
Link your account, get notified by direct message, and share trace links that unfurl into previews. An unfurled preview enforces the same read policy as the application, so a link pasted into a channel can never reveal a trace the sharer could not open. A daily digest summarizes how conversation topics are shifting.
How to connect
Three integration points. No new protocols.
Register your agents
POST an A2A Agent Card to the registry. Multisynapse versions it, lints it for completeness, and makes it discoverable to other agents over MCP.
Wire up observability
Get full visibility into every AI call, from latency and cost to failures and model behavior, so your team always knows what's happening inside your agents, and your compliance team has the audit trail to prove it.
Add the MCP server
Add Multisynapse as an MCP server in your client config. Your agents gain access to the full tool catalog, subject to OPA policy, with every call logged.
Built on open standards
Ready to govern your agents?
Multisynapse is available now. Log in to explore the platform or reach out to talk through your deployment.