Hindsight
Hindsight is a local-first memory layer for AI coding.
Core trick
A JetBrains plugin logs edits, test runs, and reverts as attempts, which agents query via MCP before retrying a fix.
Description
Hindsight is a local-first memory layer for AI coding. It tracks coding attempts inside JetBrains, including edits, test runs, failures, and reverts, then turns them into a structured attempt history. Through our MCP integration, agents can also query prior attempts before trying a new fix, helping them avoid repeating the same dead ends. We sync attempts to Supabase and surface them in a dashboard so teams can inspect failures, recoveries, and task history across projects. This directly tackles Problem Statement Two, "Testing & Debugging Code", by shrinking the gap between 'something failed' and 'here’s what was already tried.' It also supports Problem Statement One, "Writing & Generating Code", by giving coding agents memory of prior failed and successful approaches so their generated changes are more context-aware and less disposable. Long term, we think this can become a core layer for AI-assisted software development: a shared memory system for individuals and teams that makes agents more reliable, reduces duplicated debugging effort, and preserves high-value engineering knowledge that would otherwise be lost.
elbionredenica/hindsight★ 00 forksTypeScriptNOASSERTIONCreated Apr 19, 2026 · last push Aug 17, 2026
README excerpt
# Hindsight
**Local-first attempt memory for AI coding agents.**
> Git records what survived. Hindsight records what was tried, why it failed, and what the next agent should avoid.
[](LICENSE)
[](plugin/)
[](mcp-server/)
Hindsight keeps project memory outside any one model, chat, or agent harness. A JetBrains plugin observes edits, tests, builds, and reverts; an MCP server lets agents record intent and retrieve similar prior attempts. Everything works against a local SQLite database, with optional Supabase sync for shared team history.
This is an experimental, working prototype—not a hosted service or a replacement for version control.
## Why it exists
Coding agents are increasingly capable, but their memory is usually bound to a session or a particular product. That leaves a simple failure mode: one agent tries a plausible fix, discovers why it is wrong, reverts it, and the next agent repeats the same approach.
Hindsight stores that negative result as project-level memory. The useful unit is not a chat transcript; it is an **attempt** with intent, touched files, outcomes, error signatures, and a final status such as `failed`, `reverted`, or `accepted`.
## How it works
```mermaid
flowchart LR
A["Coding agent"] -->|"record intent / query histor