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Self-hosted control plane for AI coding agents with memory, continuity, and traces.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Firekeep" yet — see the docs or source repo.
Use Firekeep as the MCP control plane to record key project decisions and preferences, then read them in later sessions to avoid repeating context.
Reusable project memory and context that later sessions can read.
Using Firekeep session continuity, summarize my unfinished changes, current state, and next steps so I can continue development.
A handoff summary and next actions that let me continue work immediately.
Use Firekeep to provide replayable traces and review the AI coding agent's action path, key steps, and coordination process.
Replayable execution traces with key-step logs.
When a team uses multiple AI coding agents, Firekeep can centralize memory and context. This helps keep sessions consistent across agents.
For coding tasks that span multiple sessions, Firekeep helps preserve state and continue work. Developers do not need to re-explain background every time.
When you need to inspect what an AI coding agent did, Firekeep's replayable traces help you review the action path and coordination process.
It is a self-hosted control plane for AI coding agents, providing persistent memory, session continuity, environment awareness, coordination, and replayable traces via MCP.
It helps AI coding agents retain context, resume interrupted tasks, and record replayable execution traces. It also fits development workflows that span multiple sessions.
According to the description, it is a self-hosted control plane. For specific deployment details or prerequisites, see the source repository.
Share memory and coordination signals across AI agents and sessions.
Persistent memory for coding agents across sessions
Give AI coding agents persistent memory across sessions for people, decisions, and context.
Store and retrieve project memory for coding assistants via MCP tools.
Give AI coding agents searchable local project memory with safe structured updates.
Provide a shared persistent memory layer for coding agents across tools.