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realm

Make AI agents follow instructions reliably and prove what they did. State machine engine with evidence chains, multi-agent delegation, human gates, and auditable execution — via MCP or CLI.

50poor
▣ Score BreakdownMCPScore = Σ(raw × weight)
DimensionRawWeighted
Security
35%
100
35.0
Freshness
25%
30
7.5
Adoption
20%
0
0.0
Quality
10%
20
2.0
Trust
10%
50
5.0
Total
49.5
⚿ Capabilities & Risk Explainer
fs readfs writenetworkexecsecrets
◆ Risk level: high· 9 tools · auth: API key
fs read + fs write + network + exec + secrets active — can execute code, access credentials, and make external network calls.
Tool nameDescriptionDestructive?
submit_human_response✓ no
get_workflow_protocol✓ no
execute_step⚠ yes
list_workflows✓ no
create_workflow✓ no
+4 more tools
start_run⚠ yes
get_run_state⚠ yes
append_trace✓ no
start_run_batch⚠ yes
⚙ Install config
Source-only — no published npm / pypi package detected.
Clone and follow the build instructions in the repo: github.com/sensigo-hq/realm
📈 Score historylast 5 snapshots
6/17/20266/20/2026 · 5 snapshots
⛁ Raw data
weekly downloads0
github stars0
forks0
open issues0
license✗ missing
readme length0 chars
last updated3d ago
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realm — MCP Score: 50/100 | MCPScore | Timeahead