jamjet vs context-mode
jamjet: JamJet is an action-control plane for AI agents that enforces safety policy across hooks, guardrails, MCP gateways, SDKs, and custom runtimes. It blocks unsafe tool calls, requires human approval for risky actions, caps costs, and provides a durable audit trail. One policy file works everywhere, supporting frameworks like Claude Code, OpenAI Agents SDK, LangChain, and more.; context-mode: Every tool call in an MCP (Model-Controller-Program) environment dumps raw data into the context window, quickly consuming space and causing the agent to lose track of ongoing tasks. Context Mode is an MCP server that tackles this by sandboxing tool outputs to significantly reduce context usage, tracking session events in SQLite for continuity, and promoting 'think in code' to minimize data processing within the LLM.
TL;DR
Calling MCP servers or arbitrary tools
- Your sessions fill up with tool output such as Playwright snapshots, GitHub issue lists or logs.
- You want work state (edits, git operations, tasks, decisions) to survive context compaction without being dumped back into the window.
- You use a hook-capable agent, where tool routing happens automatically.
- You need an OSI open-source licence: it uses the Elastic License 2.0, which restricts uses such as offering it as a managed service.
- Your sessions are short and rarely hit the context limit.
- You do not want hooks changing how your agent's tools behave.
Side-by-Side Comparison
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