EDA Bridge Runtime

Ask naturally. Reach the right EDA. Keep the work recoverable and verifiable.

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One conversation can reach real, editable EDA results

Ask in normal engineering language. The vendor Bridge performs the ADS or AEDT work while Runtime keeps the selected target, purpose, retry identity, long-job receipt, timing, and evidence consistent across local and SSH execution.

Editable ADS result	Editable HFSS result

The retained public journeys built an ADS circuit, simulated 31 finite rows and freshly reopened its native DDS page; and built a three-layer HFSS layout with two ports, solved five frequencies and freshly reopened its native Report. Codex and Pi each completed each journey with one recoverable Runtime plan.

Model state you can inspect	The route that keeps it recoverable

These are real application-window captures from public synthetic projects, not mockups or Python replots. EDA Bridge Runtime is the shared, vendor-neutral path behind the vendor Bridges: it preserves execution continuity and evidence while ADS and AnsysEM Bridges retain version-specific runtime integration.

Capability is not measured by wrapper count. An Agent combines exact Context, version-matched official docs, and a small packaged Bootstrap Experience Library, then runs official vendor code through a governed transaction. High-frequency operations may remain as asset-bound compiled shortcuts to save tokens and reduce transcription errors; the shortcut never becomes the source of truth or the only route to that capability.

What this changes for an engineer

What the public tests show

The newest acceptance cases are complete user journeys, not isolated API calls. ADS started from an empty workspace, built and simulated a circuit, exported 31 finite rows, and freshly reopened an editable DDS page. HFSS 3D Layout started from an empty project, built three layers and two ports, solved five frequencies, and freshly reopened a native S-parameter report. Codex and Pi each completed each journey with exactly one Runtime plan.

These are one retained functional trial per Agent and EDA, not statistical speed claims. They show the useful boundary: the ADS engineering work took seconds, while the HFSS solve dominated the long workflow. Packet-level network time was not measured separately, but no dominant SSH command cost was observed.

The chart reports median wall time from six bounded public test cases, with three trials per Agent and task. Both Agents used the same Runtime and Bridge path. Agent-heavy tasks show the largest difference; AEDT-lifecycle-heavy work is dominated by the EDA itself. This is an engineering baseline, not a universal Agent ranking. See the full method, pass rates, and interpretation boundary.

The checked ladder covers documentation evidence, exact idempotent replay, typed ADS and AnsysEM work, a real generated-input Momentum solve, and a one-turn cross-EDA workflow. Sanitized acceptance evidence is maintained in Acceptance.

Start with one Agent profile

Install Runtime on the computer where the Agent runs:

python -m pip install "eda-bridge-runtime==0.1.0a37"
eda-runtime doctor

Create the isolated profile for the Agent you use:

eda-runtime agent-profile codex install
eda-runtime agent-profile pi install --help

The administrator selects vendor Skills and connection details once. Engineers then start the generated profile and speak naturally; they do not maintain SSH commands, metadata files, or Runtime logs by hand.

Install the matching vendor Bridge on each EDA host:

• ADS Agent Bridge
• AnsysEM Agent Bridge

If the Agent and EDA share one machine, register a local connection. If they are separate, register SSH. Both still pass through Runtime so audit, retry, target, and evidence behavior do not split into two systems.

Safety promises

• Every Agent-originated action carries a concise purpose.
• Mutations require a stable identity and are never blindly replayed.
• A disconnect does not imply that a long EDA job failed.
• Context tokens contain locators and fingerprints, never credentials.
• The append-only ledger stores fingerprints and bounded metadata, not chat transcripts or raw operation payloads.
• Vendor-specific behavior stays in vendor Bridges, not in the Runtime core.
• Advisory experience is hashed package data, never executable Markdown; its absence cannot block governed native execution.
• Runtime does not claim a solve, artifact, or persisted change without corresponding Bridge evidence.

Next

• add more vendor Bridges without changing the user's conversation pattern;
• make version-matched official APIs broadly reachable through one governed native execution and transaction envelope, without rebuilding vendor APIs as Bridge wrappers;
• make long-job recovery and evidence review easier to see;
• retain more complete, real engineering journeys across circuit, layout, EM, simulation, extraction, and native plotting.

Learn more

• How the pieces fit together
• How EDA capability grows without rebuilding vendor APIs
• Agent host, EDA host, and combined deployment
• MCP and Codex integration
• Pi Agent pilot
• Protocol schema
• Current scope

eda-bridge-runtime is public alpha software. Begin with disposable work and review the vendor Bridge's capability and evidence boundary before using it on important projects.