Build your agents on
ByteRover's context layer and trust protocol.
Inside your own perimeter.

Build your agents on
ByteRover's context layer and trust protocol.
Inside your own perimeter.

Self-host on-prem or in your VPC, integrate at the SDK level, and let your agents retrieve precise context and exchange only what should cross a trust boundary. The ROI is the same: ship faster, at half the token cost.

Build your agents on
ByteRover's context layer and trust protocol. Inside your own perimeter.

For enterprise teams using

Codex

Claude Desktop

Claude Code

Hermes

OpenClaw

Cursor

Gemini CLI

OpenCode

Devin (Windsurf)

Github Copilot

On-prem, and yours to shape

On-prem, and yours to shape

On-prem, and yours to shape

Run it entirely inside your network. Fully on-prem or in your private VPC. Nothing leaves your perimeter.

Run it entirely inside your network. Fully on-prem or in your private VPC. Nothing leaves your perimeter.

Deterministic, zero-LLM engine

Retrieval and curation are filesystem I/O and search, with no model calls, so there is no data egress and every result is reproducible and auditable. On-prem is not a downgrade.

Customize the layer to your org

Your taxonomy (bugs, rules, decisions, architecture), your redaction and boundary policies (what is shareable, what stays secret), your roles and RBAC, your models (bring your own, or none), your transports (hosted relay or direct LAN).

Govern it

Data residency, append-only audit, CVE alerting, SOC 2 Type II, AES-256 at rest, TLS 1.2+ in transit.

Your agents share context through a boundary, not a pool

With XACP, our cross-agent context protocol, one agent requests a context topic from another. The holder redacts to exactly what the requester is entitled to before any byte leaves, signs it, and logs the disclosure. The requester can prove provenance, and cannot see or even infer anything above its grant.

Powers the case you cannot do today: a personal agent talking to an organizational agent

Someone's personal agent gets the org context it is allowed, the runbook, the policy, the answer, without your organization over-sharing, and without the person revealing anything they did not choose to.

Works with what your teams already run

The protocol rides on MCP, so Claude Code, Codex, and Cursor interoperate unmodified.

Build on the protocol, not just the app

Build on the protocol, not just the app

Build on the protocol, not just the app

ByteRover ships as an SDK and a protocol, so you can give your own agent system a context layer and a way to exchange context across trust boundaries.

ByteRover ships as an SDK and a protocol, so you can give your own agent system a context layer and a way to exchange context across trust boundaries.

The ROI is the same

The ROI is the same

Structure gives agents deterministic handles, so you get the same retrieval accuracy at roughly half the token cost, with about 40% faster queries. Engineering knowledge stops decaying. New hires and new agents onboard against the same context. Git context across your teams the way you Git code.

Structure gives agents deterministic handles, so you get the same retrieval accuracy at roughly half the token cost, with about 40% faster queries. Engineering knowledge stops decaying. New hires and new agents onboard against the same context. Git context across your teams the way you Git code.

SECURITY

Build context with enterprise-grade security

Build context with enterprise-grade security

Build context with enterprise-grade security

SOC 2 Type II certified

AES-256 encryption at rest, TLS 1.2+ in transit

Role-based access control

Data residency control

CVE alerting

Signed context topics

Holder-side redaction

Append-only audit log

Your Frequently Asked Questions

Your Frequently Asked Questions

Can't find an answer? Check the docs or ask on Discord

How do my agents save and recall memory with ByteRover?

After you connect your agents to ByteRover, ask them to automatically save and recall everything in ByteRover at the start. From then on you just work and interact with your agents as usual, and ByteRover automatically organizes and updates the key knowledge into memory files. When an agent recalls something, it attaches the source links below its answer so you can read the content directly.

Will a new agent or session remember my past context?

Can I open and edit my memory files myself?

Where is my data stored, and is it private?

How do I share memory with my team, and keep some things private?

Can I manage many teams?

How do my agents save and recall memory with ByteRover?

After you connect your agents to ByteRover, ask them to automatically save and recall everything in ByteRover at the start. From then on you just work and interact with your agents as usual, and ByteRover automatically organizes and updates the key knowledge into memory files. When an agent recalls something, it attaches the source links below its answer so you can read the content directly.

Will a new agent or session remember my past context?

Can I open and edit my memory files myself?

Where is my data stored, and is it private?

How do I share memory with my team, and keep some things private?

Can I manage many teams?