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Flightwake
Pricing
- Model
- Free
Summary
Coding agents lose context between sessions — they forget what they tried, what failed, and why a decision was made three hours ago. Flightwake is a session-recording framework that obligates an agent to leave a structured trail in git as work happens, not as a separate logging task after the fact.
The framework installs into a git repository via npx and writes pure Markdown records that live in version control alongside the code. There are zero runtime dependencies — no sidecar process, no external service, no database to stand up. The design targets agents like Claude Code that run multi-step coding sessions where state bleeds across multiple handoffs; the records become the handoff. The ceiling appears fast for teams who want queryable logs, dashboards, or structured telemetry: Flightwake writes Markdown files, full stop. Teams who outgrow flat-file observability wire a separate log aggregation layer and end up maintaining both.
Bottom line: Pick this for a git-centric team running Claude Code across sessions where a plain-Markdown audit trail is enough — plan a different observability stack the moment you need to query across sessions or alert on agent decisions programmatically.
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Pros
Sign in to edit- Zero runtime dependencies and no external services required, which means setup is a single npx command and there is no infrastructure to break between sessions.
- Records live in git as plain Markdown, so every agent decision and trap is reviewable in a standard pull request — no separate tooling needed to audit what the agent did.
- Multi-session handoff is a first-class workflow, so a coding agent picking up a half-finished task has structured context from the prior session rather than starting cold.
- Sensitive-information self-check runs at session end, so the agent surfaces potential data leakage before the session closes rather than leaving it to a manual review.
- MIT license and self-hostable by default, so there is no vendor dependency and the records stay inside the team's own repository with no data leaving the environment.
Cons
Sign in to edit- There is no structured query layer: finding patterns across sessions — which files an agent modified most often, which decision types recur, which traps repeat — requires grepping Markdown files manually or scripting your own parser. Teams who need cross-session analytics hit this wall immediately and add a separate log aggregation step.
- The framework is built explicitly for strong coding agents in the Claude Code generation; teams running lighter agents or non-git workflows find the record obligations add friction with no corresponding payoff, and the docs describe no supported path for non-git environments.
- When a team needs alerting, dashboards, or integration with existing observability stacks, Flightwake has no native output format beyond Markdown — at that point teams either build a transform layer themselves or switch to an agent observability tool that emits structured JSON or OpenTelemetry traces.
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About
- Platforms
- CLI, Git, Markdown
- API Available
- No
- Self-Hosted
- Yes
- Last Updated
- 2026-07-20T08:16:14.857Z
Best For
Who it's for
- Claude Code and similar strong coding agents
- Git-centric development teams
- Minimal-overhead agent observability
- Pure Markdown and git-based workflows
What it does well
- Session state tracking for AI coding agents
- Logging decisions and traps during agent workflows
- Multi-session handoff in git repositories
- Sensitive information self-checks at session end
Integrations
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Frequently Asked Questions
- Is Flightwake free?
- Yes — Flightwake is fully free to use. There is no paid tier.
- Is Flightwake open source?
- Yes. Flightwake is open source.
- Can I self-host Flightwake?
- Yes. Flightwake supports self-hosting on your own infrastructure.
- What platforms does Flightwake support?
- Flightwake is available on: CLI, Git, Markdown.
Hours Saved & ROI Stories Community
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AI coding agents that span multiple sessions have no built-in memory of what they decided, what traps they hit, or what sensitive information passed through the session. Flightwake addresses this by acting as a flight recorder: it installs into the working repository and creates structured Markdown records that the agent writes as work progresses. The command surface is minimal — `npx flightwake init` sets it up, `npx flightwake update` upgrades without clobbering existing configuration. Everything lands in git, so the record history is as durable and auditable as the code itself.
The core differentiating design principle, stated in the README as ‘records follow work, they don’t lead it,’ means the agent is not filling out a ticket before starting — it is generating a contrail as it moves. The framework includes session state tracking, decision and trap logging, multi-session handoff structures, and a sensitive-information self-check at session end. All of this runs in pure Markdown with no runtime dependencies, which means the entire observability layer is inspectable and diffable in any code review.
Flightwake fits teams running strong coding agents in git-centric workflows who need minimal-overhead session continuity and a human-readable audit trail without standing up infrastructure. It breaks for teams who need structured queries across sessions — finding all sessions where a particular file was modified, or alerting when an agent logs a specific decision class — because Markdown files in a directory are the only query surface on offer. Teams with those requirements typically wire Flightwake records into a log aggregator or abandon it for an observability tool that emits structured events natively.
The project ships with MIT license, supports English, Traditional Chinese, Simplified Chinese, and Japanese via the `–lang` flag at init, and the repository includes hooks, skills, snippets, and templates directories that the docs describe as supporting agent workflow obligations. The `CLAUDE.md` file in the repository root indicates the framework is built with Claude Code’s conventions in mind.