- Implement global memory layer for cross-project patterns.
- Improve memory entry scoring with recency and tokenization.
- Adjust MAX_TEXT limit from 400 to 800 for better context retention.
- Add TTL pruning for stale memory entries.
- Capture and summarize dropped content during compaction.
- Update tests to reflect changes in memory behavior and compaction logic.
The fixed three-message tool window collapsed long transcripts to a handful of messages: a 405-message run kept two of 202 tool calls, and the model re-ran what it could no longer see. Pruning now drops reasoning first and keeps the widest recent tool tail that fits a ladder, the SDK carries that view into later steps, and the turn emits one compaction event instead of one per step.
Ultraworked with [Sisyphus](https://github.com/code-yeongyu/oh-my-openagent)
Co-authored-by: Sisyphus <clio-agent@sisyphuslabs.ai>
The compaction bug, which is the important one:
beta.2 taught the pruner to drop any assistant part whose reasoning item it had
removed. That was right about the 400 and wrong about everything else. On a
reasoning model every tool call carries a provider itemId, so past the threshold
the model could no longer see what it had already run, and re-ran the same tools
until maxSteps ended the turn. Reproduced at 12 model calls for a job needing 4,
with nothing but the user message reaching the wire.
The dependency is not the part, it is the itemId. A part carrying one is
serialised as `{ type: 'item_reference', id }`, a pointer to an item stored
provider-side that depends on its reasoning item. Without the itemId the same
content goes out inline and carries no dependency at all. Verified against the
provider's own serialiser: `text` with an itemId becomes item_reference, the
identical part without one becomes output_text.
So `dropOrphanedItems` becomes `detachOrphanedItems`: strip the itemId, keep the
content. Compaction may shorten the history; it must not blank it. The new test
asserts behaviour rather than shape — the loop must end because the model chose
to, and every call after the first must still carry the earlier exchange. A shape
assertion passed the whole time the model was losing its memory.
Registry, via `/registry [list|search|add|remove|installed]`:
Skills and plugins are treated differently on purpose. A skill is prompt text, so
installing one puts a stranger's words into the system prompt of every future
session in this project; the install shows the body first and the origin is
recorded, so /skills always says where an instruction came from. A plugin is a
JSON manifest of deny rules, evaluated by compiled code identical for every
install. Loading TypeScript from a URL is declined outright: a plugin that can
block tool calls could otherwise lie about blocking them.
Validated before anything is written: https only (file: and data: rejected), name
matched against ^[a-z0-9][a-z0-9-]*$ so it cannot escape its directory, size
caps on index and body, every regex compiled, pattern length capped since it runs
on every tool call, and the body's own name checked against the index. Installed
skills rank below your own, so an install can never shadow a skill you wrote.
Interface:
- Context is a percentage of the compaction threshold, amber from two thirds and
red at 90. A turn about to lose history now says so beforehand.
- Aligned command menu and registry tables; /skills and /plugins name origins.
538 tests, up from 488. The registry is tested against a real local HTTP server,
and the guard is proven to refuse a .env write end to end rather than assumed to.
Agentic coding CLI on Bun, Ink, and the AI SDK.
Core: streamText loop with SDK-level tool approval so a denied call provably never executes; endpoint fallback for OpenAI reasoning models; retry with backoff.
Tools: read/write/edit/glob/grep/bash, path-jailed, gitignore-aware, ripgrep with a JS fallback, binary rejection, live bash streaming.
Agents: five variants crossing thinking level with tool restriction; plan and review withhold mutating tools from the model.
Extensibility: frontmatter skills with on-demand bodies, plugin host with blocking hooks, MCP stdio and HTTP, read-only subagents.
State: durable per-project memory, session task lists, session persistence, compaction that repairs provider-item dependencies.
Distribution: five-platform cross-compiled binaries with checksums, install scripts, CI on three operating systems.
404 tests, typecheck clean.
asepharyana
Muhammad Zakir Ramadhan
