[Trend Scout] iampantherr/SecureContext

[github-actions]

🔭 Trend Scout: iampantherr/SecureContext

Auto-generated by trend-scout.py — review and edit as needed.

📌 What problem it solves

Persistent memory + security layer for Claude Code (MCP plugin). Agents remember your project across sessions (~87% fewer context tokens), every tool call lands in a tamper-evident HMAC audit chain, and skills are AST-scanned + HMAC-verified before they run. 100% local: PostgreSQL + Ollama, no cloud, MIT.

📅 Timeline

Field	Value
Created	2026-03-16
Last pushed	2026-07-24
Stars	7
Forks	3
Open issues	1
License	None
Language	TypeScript
Topics	agent-security, ai-agent-memory, ai-agents, audit-trail, claude-code, claude-code-plugin, context-management, context-window, hybrid-search, knowledge-base, knowledge-graph, llm-memory, mcp, mcp-server, memgpt, multi-agent, ollama, persistent-memory, postgresql, token-optimization

✅ Strengths

• Well-tagged: agent-security, ai-agent-memory, ai-agents, audit-trail, claude-code, claude-code-plugin
• Primary language: TypeScript
• Actively maintained (pushed within 30 days)

⚠️ Weaknesses / Risks

• Low star count (7) — limited community validation
• No license detected — usage rights unclear

💡 What this repo can learn

• Claude Code session patterns: this repo's Claude Code integration approach could improve claude-adapter.py's JSONL parsing — e.g., handling new session event types or extracting richer metadata from Claude Code tool-use blocks
• Graph-based knowledge linking: a relation graph over session entries could let briefing.py surface related decisions and mistakes by topic proximity — e.g., linking a mistake:auth record to pattern:jwt across separate session files without requiring identical keywords
• Multi-agent coordination: the agent commons / trust model could inform how learn.py and watch-sessions.py handle concurrent writes from multiple simultaneous Copilot / Claude sessions
• Offline-first design: this repo's no-cloud/no-server posture directly mirrors our local-SQLite approach — could validate that knowledge.db workflows never require external API calls even when semantic search is enabled
• Cross-environment sync patterns: the sync strategy here could inform sync-knowledge.py for more robust Windows ↔ WSL knowledge merging

README excerpt

# SecureContext

> **SecureContext is the persistent memory, delivery, and security layer for Claude Code.** It gives coding agents project memory that survives every restart, a program/phase layer for delivering long-running projects with orchestrator handoff, a cryptographic audit trail for every tool call, and an HMAC-verified admission gate for Anthropic-style filesystem skills. Runs 100% locally on PostgreSQL + Ollama — no cloud sync, no subscription, MIT-licensed.

[![Version](https://img.shields.io/badge/version-0.46.1-blue)](package.json)
[![Tests](https://img.shields.io/badge/tests-959%20passed-brightgreen)](src)
[![Security Tests](https://img.shields.io/badge/security%20red%20team-60%2B%20RT%20IDs-brightgreen)](security-tests)
[![CI](https://github.com/iampantherr/SecureContext/actions/workflows/ci.yml/badge.svg)](https://github.com/iampantherr/SecureContext/actions)
[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE)
[![Node](https://img.shields.io/badge/node-%3E%3D22-green)](package.json)

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## What is SecureContext?

If you use Claude Code on real projects, you have hit these walls:

1. **Every session starts cold.** You re-paste the same files, re-explain the same decisions, re-discover the same gotchas — and pay tokens for the same orientation work over and over.
2. **Long projects have no delivery state.** When an orchestrating agent dies mid-feature (crash, closed window, exhausted context), its replacement starts blind. People co

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Scouted on 2026-07-24 · View on GitHub