Clips(17442,0x1f8ca0800) malloc: Failed to allocate segment from range group - out of space
There's plenty of RAM still available and this doesn't prevent the process to continue.
What happens? And can the results be corrupted by this problem?
It’s Apple’s libmalloc telling you it ran out of virtual address space for a given allocation zone.
On macOS, malloc doesn’t just grab memory linearly — it uses zones (like the nano allocator, scalable allocator, etc.).
Large objects are carved into segments within those zones.
The message
malloc: Failed to allocate segment from range group - out of space
appears when the allocator couldn’t reserve virtual memory for a new segment in the requested zone.
So it’s not about CLIPS freeing something invalid — it’s genuinely an out-of-memory (or out-of-address-space) situation at the allocator level.
Apple has changed the way zones are managed in recent macOS versions (especially with 64-bit nano allocator and address space randomization).
Tahoe may use a different range group granularity (larger chunks reserved at once), so when CLIPS asks for more memory, the allocator can run out of contiguous space sooner.
Even if physical RAM isn’t exhausted, the allocator’s range groups can hit a ceiling (fragmentation, per-zone limits).
CLIPS only knows if malloc() returned NULL.
In your run, before CLIPS can even see a NULL, libmalloc itself prints that diagnostic because the failure happened at the segment-reservation level.
Then CLIPS likely does its retry logic — but you see Apple’s message first.
✅ So in plain terms:
On macOS Tahoe, CLIPS is asking for memory, but the allocator can’t extend its zone (segment reservation failed). That triggers Apple’s own malloc error message, before CLIPS does its retry/exit.
On macOS 15 (Tahoe), CLIPS sometimes fails with:
This does not happen on older macOS versions. The new allocator in Tahoe (libmalloc) manages “range groups” differently, and CLIPS’s heavy use of millions of small allocations (facts, RETE nodes) can exhaust these groups before malloc even returns NULL.
Workaround
Disabling the Nano allocator (MallocNanoZone=0) avoids the crash, but may reduce performance, since Nano is optimized for small objects (which CLIPS uses heavily).
Proposed solution
Add a custom pool allocator inside CLIPS for tiny objects (facts, RETE nodes, symbols):
Reserve a large block of memory at startup.
Partition into size classes (16B, 32B, 64B, …).
Manage allocations via free lists.
Use system malloc only for large allocations.
Benefits
Works across all macOS versions.
Avoids Tahoe allocator failures.
Likely improves performance (O(1) alloc/free, better memory locality).
Portable: same code on Windows, Linux, macOS.
2. Detailed proposal
Problem Analysis
Tahoe’s allocator imposes stricter limits on segment allocation (“range groups”).
CLIPS relies on system malloc for millions of tiny objects.
MallocNanoZone=0 avoids crashes but disables the Nano allocator, which reduces allocation efficiency for small objects.
Option A – Custom Pool Allocator (Recommended)
At startup, reserve a large contiguous block (e.g., 256 MB).
Divide it into size classes, maintain free lists per class.
Provide clips_pool_alloc(size) / clips_pool_free(ptr) wrappers for hot-path allocations (facts, RETE nodes, symbols).
Fallback to system malloc for large objects.
Advantages
Eliminates Tahoe-specific allocation failures.
Maintains high performance for millions of tiny allocations.
Portable and fully under CLIPS control.
Predictable memory usage and low fragmentation.
Implementation Sketch
Testing Recommendations
Micro-benchmark: 1M allocations/frees at 16–64B sizes.
Compare pool allocator vs. system malloc vs. Nano disabled (MallocNanoZone=0).
Validate that previous Tahoe “range group” failures no longer occur.
Optional Refinements
Make the pool thread-safe if needed (pthread_mutex), or keep single-threaded for minimal overhead.
Adjust initial reserve size and slab size for memory tuning.