Contextus is Coreledger's flagship product for governed context, risky action approval, and audit-ready proof across MCP and editor-native workflows.
The control plane for AI agent actions: compile the right context, govern risky tools, require approvals, and keep proof for later review.
Compile the right repo, docs, and task history before the agent acts.
Classify write, delete, network, and credential-use actions before execution.
Record the action, decision, actor, and rationale in one reviewable trail.
Keep policy and outcome proof together for engineering and security review.
The problem
Developer agents already touch real code, real systems, and real customer data. Without a control plane, three failure modes show up in production.
Critical files, tickets, or policy notes are missed.
Writes, sends, deletes, and network calls happen without review.
Approvals, audit logs, and eval evidence are scattered or missing.
One product philosophy across the agent stack: compile the right context, govern risky actions, approve what matters, and prove what happened afterward.
Context that stays on task. Contextus selects the files, docs, policies, and task history that matter, so agents act with the right information instead of a bloated prompt.
Classify risky tools before execution so the workflow stays constrained.
Pause write, delete, network, send, and credential-use actions until a human decides.
Keep audit history, policy decisions, and eval evidence together for later review.
Audience
When an agent can write code, call tools, or affect customer-facing systems, the question changes from “Can it do the task?” to “Can we control and prove what it did?”
Building agent workflows that need reliable context, evals, and safety checks before broader rollout.
Defining policies, approval paths, and audit trails for internal agent tooling.
Embedding agents into IDEs, MCP tools, CI workflows, and custom engineering environments.
The product proof should be immediate: compile the right context, classify a risky action, pause for approval, and write the audit trail.
1. Compile
Pull the files, docs, and task history that actually matter before the agent acts.
2. Govern
Policy: Requires human approval.
3. Approve
The agent wants to delete production data. This action is blocked until reviewed.
4. Prove
Pricing
Start free, then add approvals, audit export, and shared governance as your agent workflows expand. Most teams adopt Contextus when shared governance starts to matter, which is why Team is recommended.
Free
For exploring governed agent workflows
Builder
For individual developers validating governed agent workflows
Team
RecommendedFor teams piloting governed agents
Enterprise
For larger organizations with security needs
Pricing is public. Plan changes, invoices, and billing details are managed inside the Contextus dashboard once you sign in.
Where we are
Contextus is shipping to early teams. Risky tools default to ask, every approval is recorded, and the proof surface combines audit history with eval evidence.