Planned
Cross-project learning
Rules that travel between projects
Patterns learned in one project suggested in similar projects. Shared rule packs across your organization. Approvals in one project reduce escalations in others.
Early access — now live → Central oversight for
Central oversight for
autonomous agent teams
Every tool call. Every file write. Every bash command. Watch your Claude Code agents work, approve what matters, and let trust scoring handle the rest.
DevelopmentTimeline
Next
Overnight mode
Agents work while you sleep
Pre-flight checklist verifies everything is safe. Enable overnight mode and low-risk tasks run unattended. Wake up to a summary of everything that happened.
Now
Early access
Live and onboarding users
The platform is live. Sign up, connect your first project, and start overseeing your agents. We are tuning trust scoring and security rules based on real-world usage.
Shipped
Team collaboration
Shared oversight across your organization
Invite team members with owner, admin, member, or viewer roles. Share dashboards and approval queues. Cross-project benchmarking shows how teams compare.
Shipped
Analytics hub
Events, performance, trust, security, sessions, codebase, and team metrics
Eight tabs covering events, codebase activity, agent performance, trust evolution, security findings, session patterns, and team benchmarking. Export as CSV or PDF.
Shipped
Security scanning
Catch risks before they ship
Every tool call scanned for secrets, destructive commands, protected file access, and scope creep. Findings persist in agent memory so the same mistake doesn't happen twice.
Shipped
Living documents
Your plan is the source of truth
Rich-text project plans that agents read and execute against. Tasks have statuses, dependencies, and acceptance criteria. Agent comments appear inline. Switch between plan and status views.
Shipped
Live timeline
Watch agents work in real time
A wall-clock gantt chart showing every agent, every task, and every tool call as it happens. Event ticks on task bars. Zoom from 5 minutes to 4 hours. Click to highlight an agent's full history.
Shipped
Trust scoring
Agents earn autonomy automatically
Every approval builds trust on a per-tool, per-file pattern basis. Consistent good behavior leads to auto-approval. You make fewer decisions over time — without lowering the bar.
Backend API
38actions
31auto-approved
1hard stop
6done
$0.43cost
Current task
task 4Implement JWT auth middleware
bash: pip install pyjwt --index-url http://...
hard stop · waiting on decision
4s
Write src/auth/jwt.py
auto-approved · write
12s
Read requirements.txt
auto-approved · read
14s
Git checkpoint — 6 files changed
auto-approved · checkpoint
2m
Task 4 started — JWT auth middleware
PM agent
14m
Needs decision1 hard stop
Package install — unknown registryhard stop
Your agent wants to install a package from an unknown registry.
pip install pyjwt --index-url http://pypi.internal.io/simple
What led here
Read requirements.txt
Write src/auth/jwt.py
bash: pip install pyjwt —index-url...
Up next
Write token refresh logicready
Add auth middleware to routesready
Run test suitewaiting
Overnight mode off
What cesura does
One dashboard, every project
Register coding, research, document, or presentation projects. Each gets its own agent team, core memory, and security profile.
4 project types
Per-project agent teams
Graph-based context selection
Active projects
4 project typesPer-project agent teamsSmart context
Agents that learn your preferences
The more you approve, the less you need to. Trust scores build per tool, per file pattern, per project — so safe actions auto-approve.
Pattern-based auto-approval
5+ approvals → auto-trust
One-click trust reset
Trust scores
Pattern-based auto-approval5+ approvals → auto-trustOne-click reset
Watch every agent decision
Every tool call from every agent flows through your dashboard. Approve, reject, or let trust scoring handle it automatically.
Live WebSocket event stream
Per-event security scanning
Context-aware risk levels
Live event stream
Live WebSocket streamPer-event scanningContext-aware risk
Catch risks before they ship
Every tool call is scanned for secrets, destructive commands, protected file access, and scope creep — before it executes.
Secret detection
Protected file enforcement
Scope creep alerts
Security findings
Secret detectionProtected file enforcementScope creep alerts
How it works
1
Connect your project
Download the install bundle from the dashboard. Extract into your project root. A compiled binary and a settings file — under a minute.
2
Agents work, you watch
Every tool call flows to your dashboard in real-time. Security scanning and risk scoring happen automatically. You approve or reject what matters.
3
The system learns
Each approval builds trust. Patterns emerge. Your agents earn autonomy — and you get your time back.
Watch your agents work.
Backend API
live
Agent timeline
pm
working
escalated
pm-agent
orchestrating
backend
task 2.2
frontend
task 2.3
testing
idle
Activity6 events
be
Write
src/models/user.py
autonow
fe
Edit
app.module.ts
autonow
be
Bash
pip install pyjwt
escalatednow
fe
Write
auth.component.ts
autonow
be
Read
requirements.txt
autonow
be
Write
src/auth/jwt.py
autonow
PM Agent
Message PM agent...
Live timeline
Your agents are running. Here's exactly what they're doing.
Every tool call from every agent, as it happens. The timeline shows which agents are working, which are blocked, and which need a decision.
- Four agents running in parallel. One view.
- Chat with the PM agent to steer priorities, add tasks, or ask for updates.
- Escalations surface the moment they happen.
- Auto-approve rate climbs as trust scores build.
91%
auto-approve rate
<50ms
overhead per action
276
actions this session
CompletePhase 1 — Project scaffolding2/2
1.1 Flask backend scaffolding
done · 3 comments
Flask 3.x with app factory, SQLAlchemy, Flask-CORS for port 4200, Flask-Migrate. Health endpoint at /api/health returning status: ok.
1.2 Angular frontend scaffolding
done · 2 comments
ActivePhase 2 — Data models & API1/4
2.1 Database models
done
2.2 REST API endpoints
working · 1 comment
Using SQLAlchemy 2.x async session for all endpoints. Atomic graph save via nested transaction.
2.3 Input validation
waiting on 2.2
Living document
Your plan is the source of truth.
Agents read and execute against a rich-text project plan. Tasks have statuses, dependencies, and acceptance criteria. Agent summaries appear inline as work completes.
- Switch between plan view and live status at any point
- Agents annotate tasks with decisions and findings as they work
- Dependencies resolve automatically
- The plan updates as the project evolves
13
tasks this session
6
completed
Trust scores · backend-agent
Write · src/auth/
12 approvals · 0 rejections
Bash · pytest
8 approvals · 0 rejections
Bash · pip install
3 approvals · 1 rejection
Read · .env
2 approvals · 0 rejections
Bash · rm -rf
0 approvals · 3 rejections
Active rules
Block destructive bash commands
rm -rf, dd, mkfs — always escalate
Auto-approve reads in src/
Read access within project scope
Escalate external network calls
Any curl, wget, or fetch outside localhost
Rules & trust
Agents earn autonomy. You set the boundaries.
Every approval builds trust on a per-tool, per-file pattern. After consistent good behaviour, actions auto-approve. Rules let you set hard limits.
- 5 consistent approvals → auto-approves
- 3 rejections → permanently blocked
- Rules travel between projects
- Reset any trust score at any time
91%
auto-approve rate
wk 1
to reach this
pm-agentorchestrating
Reads the project plan, decomposes tasks, spawns and manages the agent team.
TaskSpawnReadWriteno Bashno network
backend-agent2 active
Server-side implementation. API routes, database models, migrations, auth.
ReadWriteEditBashGitno .env
frontend-agent1 active
UI components, routing, API integration. Works in parallel with backend.
ReadWriteEditBashno src/server
testing-agentidle
Writes and runs tests only. Read-only access to source.
ReadWrite testsBashno Write src
Agent teams
Specialised agents for every kind of work.
Each project gets a pre-configured team. Each agent has scoped tool access, security rules, and domain-specific methodology.
- Four project types: coding, research, document, presentation
- The PM agent orchestrates the team and reports back
- Each agent has the right tools — and blocks on everything else
- Custom agent roles for non-standard workflows
21
agent roles
4
project types
91%
Auto-approve rate
↑ 12% since week 1
4.2
Tasks per session
↑ from 2.8 last week
312
Actions this week
across all projects
3
Security findings
persisted in memory
Agent performance this week
Security findings — persisted in agent memory
Unknown registry installbashBackend API · 2h ago
External URL in test scriptnetworkBackend API · 4h ago
Write to path outside project scopescopeMarket Analysis · yesterday
Findings persist in agent memory — the same mistake doesn't happen twice.
Analytics
Seven ways to understand what your agents are doing.
Events, codebase activity, agent performance, trust evolution, security findings, session patterns, and team benchmarking.
- Auto-approve rate over time
- Security findings persisted in agent memory
- Agent performance benchmarked across projects
- Weekly summaries of everything that happened
7
analytics views
CSV
export any view
Pricing
Free Trial
Free
for 14 days
Try cesura on your projects. No credit card required.
- Up to 3 projects + demo
- 50K events total
- Security scanning
- Trust scoring & auto-approval
- Session replay & audit trail
No credit card required
Pro
$29
per month
Full oversight for solo developers.
- Everything in trial
- Up to 10 projects
- 200K events/month
- Analytics & CSV export
- Rule presets & customization
- Priority support
Team
$24
per seat / month
Shared oversight across your team.
- Everything in Pro
- Unlimited projects
- 1.5M events/month
- Up to 10 team members
- Shared dashboards & approvals
- Cross-project benchmarking
- Digests & AI reports
Compare all features · Need more? Contact us for custom plans, SLA, and self-hosted deployment.
Frequently asked questions
A compiled binary runs as a Claude Code hook. Every time an agent calls a tool (file write, bash command, etc.), the hook sends the event to your dashboard. Safe actions like reads are auto-approved locally in under 50ms. Everything else is evaluated by the dashboard before the agent can proceed.
Auto-approved actions add under 50ms of overhead. Escalated actions block until you decide, but as trust scores build, fewer actions need human review. Most users see 90%+ auto-approval within the first week.
Four types out of the box: coding (frontend, backend, testing agents), research (data collection, analysis, summarization), document (writing, fact-checking), and presentation (slides, visual layout). Each type comes with pre-configured agent teams and security profiles. You can also create custom projects with just a PM agent.
Every approval or rejection is recorded per project, tool, and file pattern. After consistent approvals, that pattern auto-approves without human review. Rejections build block rules. You can reset any trust score or create manual rules at any time.
The hook queues events locally and falls back to Claude Code's native permission prompt. When the server comes back, queued events are flushed automatically. No data is lost.
Take control of your agents.
Set up in under two minutes. Watch every tool call, approve what matters, and let trust scoring handle the rest.